Relation Extraction & Question Answering Systems 2015


Notes:

  • Semantic engineering
  • Semantics engineering

Resources:

Wikipedia:

References:

See also:

Relation Extraction & Question Answering Systems 2014


Learning Knowledge Graphs for Question Answering through Conversational Dialog. B Hixon, P Clark, H Hajishirzi – HLT-NAACL, 2015 – pdfs.semanticscholar.org … This al- lows relation extraction from complex natural lan- guage utterances without a closed set of recognized actions and known slot-value … While most question-answering systems focus on factoid questions, reasoning tasks such as ours re- quire different techniques. … Cited by 17 Related articles All 9 versions

MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies AB Abacha, P Zweigenbaum – Information Processing & Management, 2015 – Elsevier … answers with specific relations within question-answering systems. 2.2. Answer extraction from document collections. Analyzing textual corpora for precise answers retrieval starts from NLP methods similar to those employed for question analysis, ie NER and relation extraction. … Cited by 10 Related articles All 4 versions

Open domain question answering via semantic enrichment H Sun, H Ma, W Yih, CT Tsai, J Liu… – Proceedings of the 24th …, 2015 – dl.acm.org Page 1. Open Domain Question Answering via Semantic Enrichment Huan Sun†?, Hao Ma#, Wen-tau Yih#, Chen-Tse Tsai+, Jingjing Liu#, Ming-Wei Chang# huansun@cs.ucsb.edu {haoma, scottyih, jingjl, minchang}@microsoft … Cited by 17 Related articles All 9 versions

Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems G Zayaraz – Journal of King Saud University-Computer and …, 2015 – Elsevier Abstract Domain ontology is used as a reliable source of knowledge in information retrieval systems such as question answering systems. Automatic ontology construction is possible by extracting concept relations from unstructured large-scale text. In this paper, we propose Cited by 3 Related articles All 3 versions

Modeling of the question answering task in the yodaqa system P Baudiš, J Šedivý – International Conference of the Cross-Language …, 2015 – Springer … 3, we discuss a related issue of benchmarking question answering systems for comparison and propose a curated dataset initiative … to querying an unstructured knowledge base, the problem becomes a mix of information retrieval, information and relation extraction, textual entail … Cited by 5 Related articles All 6 versions

Advances in natural language processing J Hirschberg, CD Manning – Science, 2015 – science.sciencemag.org … The relation-extraction task is made general, if less semantically precise, by aiming to extract all relations from any piece of text, a … The flip side of machine reading is to provide question-answering systems, by which humans can get answers from constructed knowledge … Cited by 41 Related articles All 9 versions

Biomedical question answering using semantic relations D Hristovski, D Dinevski… – BMC …, 2015 – bmcbioinformatics.biomedcentral. … … We are aware that semantic relation extraction is not a perfect process and therefore we provide mechanisms for evaluation of extraction accuracy. … We would like to stress that this view (Figure 3) also allows the user to evaluate the accuracy of the relation extraction. … Cited by 9 Related articles All 16 versions

Construction of semantic bootstrapping models for relation extraction C Zhang, W Xu, Z Ma, S Gao, Q Li, J Guo – Knowledge-Based Systems, 2015 – Elsevier … Cover image Cover image. Construction of semantic bootstrapping models for relation extraction. … Abstract. Traditionally, pattern-based relation extraction methods are usually based on iterative bootstrapping model which generally implies semantic drift or low recall problem. … Cited by 8 Related articles All 3 versions

Automatic space information extraction from korean text B Kim, Y Park, JS Lee – International Information Institute ( …, 2015 – search.proquest.com … the entity tagger, and a log linear model is used for disambiguation of the entities in [1, 2]. For relation extraction, a rule … The non-motion event relations are useful for general question answering systems, and the triple format is usually used for web based ontology construction [8 … Cited by 4 Related articles

A Hybrid Neural Model for Type Classification of Entity Mentions. L Dong, F Wei, H Sun, M Zhou, K Xu – IJCAI, 2015 – ijcai.org … Moreover, by integrating the type pre- dictions of our method into the answer ranking model of a question answering system, we observe a 14.7% relative gain for the top-1 accuracy. … In addition, we can apply this method in the relation extraction task to improve its performance. … Cited by 8 Related articles All 8 versions

Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary. J Krishnamurthy, TM Mitchell – TACL, 2015 – aclweb.org Page 1. Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary Jayant Krishnamurthy Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 jayantk@cs.cmu.edu Tom M. Mitchell … Cited by 10 Related articles All 12 versions

Ontology-based why-question analysis using lexico-syntactic patterns AE Karyawati, E Winarko, A Azhari… – International Journal of …, 2015 – search.proquest.com … The question analysis is a fundamental component of a question answering system because the query representation represents a user … analysis adapts an ontology-based question answering model involving three main components, term/relation extraction, semantic entity … Cited by 5 Related articles All 5 versions

Exploring the effectiveness of linguistic knowledge for biographical relation extraction M Garcia, P Gamallo – Natural Language Engineering, 2015 – Cambridge Univ Press … Biographical relation extraction More related to our work, several papers and competitions focus on the extraction of pairs belonging to biographical relations. Mann (2002) describes a method for creating ontologies of proper nouns for question answering systems, by selecting … Cited by 4 Related articles All 5 versions

Knowledge-based question answering using the semantic embedding space MC Yang, DG Lee, SY Park, HC Rim – Expert Systems with Applications, 2015 – Elsevier … Potential answers are ranked based on semantic similarities with a given question. Abstract. Semantic transformation of a natural language question into its corresponding logical form is crucial for knowledge-based question answering systems. … Cited by 4 Related articles All 7 versions

Type-constrained representation learning in knowledge graphs D Krompaß, S Baier, V Tresp – International Semantic Web Conference, 2015 – Springer … de Abstract. Large knowledge graphs increasingly add value to various applications that require machines to recognize and understand queries and their semantics, as in search or question answering systems. Latent variable … Cited by 20 Related articles All 11 versions

Assessing the Need of Discourse-Level Analysis in Identifying Evidence of Drug-Disease Relations in Scientific Literature. M Rastegar-Mojarad, RK Elayavilli, D Li, H Liu – Medinfo, 2015 – researchgate.net … The importance of discourse-level analysis is well known and it has been studied in several applications such as: question- answering systems [7]–[9], automatic dialogue … Bach and Badaskar [6] reviewed some of this type of relation extraction systems and their applications. … Cited by 3 Related articles All 5 versions

DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx S Mehrabi, A Krishnan, S Sohn, AM Roch… – Journal of biomedical …, 2015 – Elsevier In Electronic Health Records (EHRs), much of valuable information regarding patients’ conditions is embedded in free text format. Natural language processing. Cited by 4 Related articles All 7 versions

Mining activation force defined dependency patterns for relation extraction C Zhang, Y Zhang, W Xu, Z Ma, Y Leng… – Knowledge-Based Systems, 2015 – Elsevier … Volume 86, September 2015, Pages 278–287. Cover image Cover image. Mining activation force defined dependency patterns for relation extraction. … 2.2. Relation extraction methods. A number of machine learning approaches have recently been applied in relation extraction. … Cited by 3 Related articles All 4 versions

Improvement of n-ary Relation Extraction by Adding Lexical Semantics to Distant-Supervision Rule Learning. H Li, S Krause, F Xu, A Moro, H Uszkoreit, R Navigli – ICAART (2), 2015 – academia.edu Page 1. Improvement of n-ary Relation Extraction by Adding Lexical Semantics to Distant-Supervision Rule Learning Hong Li1, Sebastian … Keywords: Relation Extraction, Lexical Semantics, Pattern Extraction Abstract: A new … Cited by 4 Related articles All 8 versions

The triplex approach for recognizing semantic relations from noun phrases, appositions, and adjectives SI Mirrezaei, B Martins, IF Cruz – European Semantic Web Conference, 2015 – Springer … Open domain information extractionRelation extractionNoun-mediated relation triplesCompound nounsAppositions. … For example, a question answering system may need to find the location of the Microsoft Visitor Center in the sentence The video features the Microsoft Visitor … Cited by 5 Related articles All 12 versions

Simulating IBM Watson in the classroom WW Zadrozny, S Gallagher, W Shalaby… – Proceedings of the 46th …, 2015 – dl.acm.org … questions are freely available from j-archive.com. Therefore, it is possible in principle for anyone to build a Watson simulator, or any question answering system con- taining components of Watson architecture. … [30] C. Wang et al. Relation extraction and scoring in DeepQA. … Cited by 5 Related articles All 3 versions

Semi-automatic generation of multiple-choice tests from mentions of semantic relations R Ai, S Krause, W Kasper, F Xu… – ACL-IJCNLP …, 2015 – anthology.aclweb.org … 2013. Seman- tic rule filtering for web-scale relation extraction. In ISWC. Ndapandula Nakashole, Gerhard Weikum, and Fabian M. Suchanek. 2012. … Ellen Riloff and Michael Thelen. 2000. A rule-based question answering system for reading comprehen- sion tests. … Cited by 3 Related articles All 10 versions

Query-driven approach of contextual ontology module learning using web snippets NB Mustapha, MA Aufaure, HB Zghal… – Journal of Intelligent …, 2015 – Springer … 3 Weighted concept map construction. We distinguish mainly two types of operators that use these patterns: The operators responsible for concept and relation extraction; The operators responsible for concept and relation selection. … Cited by 4 Related articles All 8 versions

Advancements in Question Answering Systems Towards Indic Languages GS Dhanjal, S Sharma – International Journal of Research in …, 2015 – search.proquest.com … So, this process is deemed to be an independent module in the question answering systems [5]. … information retrieval and various linguistic and extraction tools such as name finding, parsing, coreference resolution, proposition extraction, relation extraction and extraction of … Cited by 1 Related articles All 6 versions

One-Class Classification Model Based on Lexical Information and Syntactic Patterns H Lee, M Choi, H Kim – Journal of KIISE, 2015 – koreascience.or.kr … Extraction,” Proc. of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pp. 724-731, 2005. 15. Deepak Ravichandran and Eduard Hovy, “Learning Surface Text Patterns for a Question Answering System,” Proc. … Cited by 1 Related articles

Entity linking with a knowledge base: Issues, techniques, and solutions W Shen, J Wang, J Han – IEEE Transactions on Knowledge …, 2015 – ieeexplore.ieee.org … For example, relation extraction is the process of discovering useful relationships between entities mentioned in text [8], [9], [10], [11], and the … Furthermore, a large number of question answering systems rely on their supported knowledge bases to give the answer to the user’s … Cited by 94 Related articles All 13 versions

Sentential query rewriting via mutual reinforcement of paraphrase-coordinate relationships M Zhao, H Ohshima, K Tanaka – … of the 17th International Conference on …, 2015 – dl.acm.org … 2.1 Semantic Relation Extraction Snowball [2], KnowItAll [8], and TextRunner [23] are well- known information extraction systems. … A bottleneck for question-answering systems is the identi- fication of different expressions with the same meaning be- tween a user’s question and … Cited by 2 Related articles

Large margin nearest neighbor embedding for knowledge representation M Fan, Q Zhou, TF Zheng… – Web Intelligence and …, 2015 – ieeexplore.ieee.org … freebase.com Freebase5 and YAGO6, have contained millions of entities and billions of facts, and they should have led a huge leap forward for some canonical AI-related tasks, eg Question Answering Systems. However, it … Cited by 8 Related articles All 9 versions

Rule based chunk extraction from PDF documents using regular expressions and natural language processing A Karad, R Joshi – Int J Appl Eng Res, 2015 – researchgate.net … Processing In the Sphere of Relation Extraction. The International Journal Of Engineering And Science (IJES):Volume 3;Issue 7;2014;Pages 01-08 . [8] Tsukasa Sagara,Masafumi Hagiwara. Natural language neural network and its application to question-answering system. … Cited by 1 Related articles

Named Entity Relation Extraction Based on Multiple Features Y Li – … and Applications Workshops (WAINA), 2015 IEEE 29th …, 2015 – ieeexplore.ieee.org Named Entity Relation Extraction Based on Multiple Features … Named entity recognition is an important research field in information extraction, and is widely used in natural language processing fields include information retrieval, question answering system and machine … Cited by 1 Related articles All 4 versions

Crowdsourcing Disagreement for Collecting Semantic Annotation A Dumitrache – European Semantic Web Conference, 2015 – Springer … We present initial results for the task of medical relation extraction, and propose an evaluation plan for crowdsourcing semantic annotation for several tasks and domains. … IBM is facing this problem when adapting the question-answering system Watson [12] to new domains. … Cited by 1 Related articles All 5 versions

Fast and Large-scale Unsupervised Relation Extraction. S Takase, N Okazaki, K Inui – PACLIC, 2015 – bcmi.sjtu.edu.cn Page 1. Fast and Large-scale Unsupervised Relation Extraction Sho Takase † Naoaki Okazaki †‡ Kentaro Inui † … {takase, okazaki, inui}@ecei.tohoku.ac.jp Abstract A common approach to unsupervised relation extraction builds clusters of patterns express- ing the same relation. … Cited by 1 Related articles All 9 versions

BioTSA: Annotating token semantic association to support biomedical text mining X Wei, S Huang, B Chen, D Ji – Wuhan University Journal of Natural …, 2015 – Springer … A end-to-end relation extraction using distant supervision from external semantic repositories [C]// Proc 49th Annual Meeting of the … Development, implementa- tion, and a cognitive evaluation of a definitional question answering system for physicians[J]. Journal of Biomedical … Cited by 1 Related articles All 3 versions

A distributed meta-learning system for Chinese entity relation extraction L Li, J Zhang, L Jin, R Guo, D Huang – Neurocomputing, 2015 – Elsevier … Relation extraction plays an important role in the information extraction for satisfying the information requirements of customers, such as the question-answering system, machine translation and so on. Meanwhile, it is a key technology for text understanding. … Cited by 1 Related articles All 4 versions

Learning a cross-lingual semantic representation of relations expressed in text A Rettinger, A Schumilin, S Thoma, B Ell – European Semantic Web …, 2015 – Springer … independent semantic representation that can be applied to a variety of tasks such as translation, relation extraction, summarization, question … the properties necessary for constructing the SPARQL query constitutes an important step of a question answering system such as … Cited by 1 Related articles All 4 versions

Using local grammar for entity extraction from clinical reports A Ghoulam, F Barigou, G Belalem, F Meziane – IJIMAI, 2015 – dialnet.unirioja.es … 1) Question-Answering systems: i. Clinical staff asks to obtain medical response. ii. A research in medical ontology must be done. iii. The construction of medical ontology based on medical entity recognition and relation extraction between medical entities. Page 4. … Cited by 1 Related articles All 6 versions

Research on Comparable Entity Mining from Comparative Questions K Kundgir, P Dere, S Mohite, P Mithari – National Conference on” …, 2015 – ijeebs.com … 507 | Page J&L work on this method and treated comparative sentence identification as a classification problem and comparative relation extraction is called as an information extraction problem. … 6 Learning Surface Text Patterns for a Question Answering System Proc. … Cited by 1 Related articles All 2 versions

Relation extraction from wikipedia leveraging intrinsic patterns Y Gu, W Liu, J Song – … and Intelligent Agent Technology (WI-IAT …, 2015 – ieeexplore.ieee.org … Relation extraction in these unstructured texts that aims at extracting structured knowledge is necessary for constructing knowledge bases which are playing increasingly important roles in search engines, question answering systems[1] and other intelligent systems. … Cited by 1 Related articles All 3 versions

Predicting Implicit Discourse Relations with Purely Distributed Representations H Li, J Zhang, C Zong – … and Natural Language Processing Based on …, 2015 – Springer … analysis and information retrieval. For instance, contingency relation detection can improve question answering systems and event relation extraction. Contrast relation recognition can eliminate intra-sentence polarity ambiguities. … Cited by 1 Related articles All 3 versions

A review of relational machine learning for knowledge graphs M Nickel, K Murphy, V Tresp, E Gabrilovich – arXiv preprint arXiv: …, 2015 – arxiv.org … question answering services. Another prominent example demonstrating the value of knowledge graphs is IBM’s question answering system Watson, which was able to beat human experts in the game of Jeopardy!. Among others … Cited by 53 Related articles All 12 versions

Recognizing Documents versus Meta-Documents by Tree Kernel Learning. B Galitsky, N Lebedeva – FLAIRS Conference, 2015 – pdfs.semanticscholar.org … Galitsky, B. 2003. Natural language question answering system: Technique of semantic headers. Advanced Knowledge Interna- tional, Australia. … Zelenko, D., Aone, C., Richardella, A. 2003. Kernel methods for relation extraction. JMLR. Zhang, M. and Haizhou LI. 2009. … Cited by 1 Related articles All 2 versions

Querying RDF data with text annotated graphs L Han, T Finin, A Joshi, D Cheng – Proceedings of the 27th International …, 2015 – dl.acm.org … entity names. An example is shown in Figure 1. By asking users to specify the semantic relations between entities in a query, we avoid the difficult problem of relation extraction from natural lan- guage sentences. While the full … Cited by 1 Related articles All 5 versions

A weighted semantic feature expansion using hyponymy tree for feature integration in sentiment analysis J Jotheeswaran, S Koteeswaran – Green Computing and …, 2015 – ieeexplore.ieee.org … Opinion detection and organization subsystem that was already integrated into the new larger question-answering system was presented by Veeraselvi&Saranya [12]. … Entity-Relation Extraction for Chinese Based on Pattern Evolution and PageRank. … Cited by 1 Related articles All 3 versions

Barbecued Opakapaka: Using Semantic Preferences for Ontology Population. I El Maarouf, G Marsic, C Orasan – RANLP, 2015 – anthology.aclweb.org … A pattern extraction tech- nique particularly used for relation extraction re- lies on identifying sequences of words between 3The lexicographer identified links based on the gloss of a WordNet synset, and on the … Learn- ing surface text patterns for a question answering system. … Cited by 3 Related articles All 11 versions

N-ary Relation Approach for Open Domain Question Answering System Based on Information Extraction through World Wide Web R Yadav, SR Tandan – ijeas.org … N-ary Relation Approach for Open Domain Question Answering System Based on Information Extraction through … sense and are denoted by f (a, b) where f is relation between attribute a and b. They have employed Open Information Extraction (Open IE) for relation extraction. … Related articles

Answer Extraction for Question Answering Game Application DD Putra, V Petukhova, D Klakow – researchgate.net … for relation extraction without la- beled data. In Proceedings of the Joint ACL/IJCNLP Conference. Moldovan, D., S. Harabagiu, M. Pasca, R. Mihalcea, R. Girju, R. Goodrum, and V. Rus, 2000. The structure and performance of an open-domain question answering system. … Related articles All 3 versions

Noun phrases extraction using shallow parsing with C4. 5 decision tree algorithm for Indonesian Language ontology building J Santoso, HV Gani, EM Yuniarno… – … (ISCIT), 2015 15th …, 2015 – ieeexplore.ieee.org … We try to extend this research to identify other types of phrases in our further research, such as verb, adjective, etc. for relation extraction in ontology building. … IEEE, 2011, pp. 7–12. [2] D. Wang, “A domain-specific question answering system based on ontology and question … Related articles

Research on improved algorithm of word semantic similarity based on HowNet H ZHANG, D LIU, C WEN – Computer Engineering, 2015 – en.cnki.com.cn … College of Information,South China Agriculture University,Guangzhou Guangdong 510642,China);Ontological Question Answering System Based on … of Computer Science and Technology,Fuzhou University,Fuzhou 350108);A Taxonomic Relation Extraction Method Based … Related articles

Review Of Diffreent Information Extraction Techniques MAN Mankar, UD Gogate – ijcea.com … productivity.[7] Deepak Ravichandran et.al. in their paper explore the power of surface text patterns for open-domain question answering systems. In order to obtain an optimal set of patterns, they … Gumwon Hong presents a supervised approach for relation extraction. He applies … Related articles All 2 versions

An Ergonomics Evaluation to Chatbot Equipped with Knowledge-Rich Mind W Liu, J Zhang, S Feng – Computational and Business …, 2015 – ieeexplore.ieee.org … The biggest challenge of developing a successful question answering system may be the ability to translate question from natural language into a formal representation or equality. DeepQA utilities named entity recognition and relation extraction to extract pieces of a formal … Related articles All 3 versions

Constructing knowledge graph from unstructured text K Kumar, S Manocha – Self – iitk.ac.in … However, right choice of training cor- 14 Page 15. Figure 13: Snapshot of Prototype Question Answering system pus is a must. Also, good scoring and evaluation metric for relations leads to better performance of the relation extraction algorithm. … Related articles All 6 versions

An Arabic mobile educational system AG Karkar, JM Al Ja’am – 12th Learning and Technology …, 2015 – ieeexplore.ieee.org … The rest of the paper is organized as follows: in section 2 we discuss first systems that display pictures with some question answering systems over interlinked data. … 3) Semantic Relation Extraction (SER): It is one of the intelligent missions that are achieved by our system. … Related articles

Identifying semantic and syntactic relations from text documents TP Thi – … Technologies-Research, Innovation, and Vision for the …, 2015 – ieeexplore.ieee.org … Definition 3. Semantic relation is the primary building block of many NLP applications, such as Ontology Learning, Question Answering system. … 714 – 719. [5] G. Zhou, L. Qian, J. Fan, “Tree kernel-based semantic relation extraction with rich syntactic and semantic information … Related articles All 2 versions

An Word Similarity Computing Method Based on Information Content of Sememe LI Guo-jia – Computer and Information Technology, 2015 – en.cnki.com.cn … College of Information,South China Agriculture University,Guangzhou Guangdong 510642,China);Ontological Question Answering System Based on … of Computer Science and Technology,Fuzhou University,Fuzhou 350108);A Taxonomic Relation Extraction Method Based … Related articles

Relation Extraction Using Semantic Information J Xu, Q Lu, M Li – International Conference of the Pacific Association for …, 2015 – Springer … 491–498 (2005). 15. Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In … 16. Ravichandran, D., Hovy, E.: Learning surface text patterns for a question answering system. In … Related articles All 3 versions

Systems and Approaches for Question Answering MP Baudiš – 2015 – ailao.eu Page 1. Systems and Approaches for Question Answering Mgr. Petr Baudiš August 31, 2015 … 3 Page 4. Chapter 1 Introduction In this report, I would like to propose a doctoral thesis to write and defend at the Czech Technical University on the topic of question answering systems. … Related articles

An Approach for Ontology-Based Information Extraction System Selection and Evaluation A KONYS – Przegl?d Elektrotechniczny, 2015 – pe.org.pl … QUESTION ANSWERING SYSTEM (QAS) KNOWLEDGE BASE … The process of relation extraction is supported by the following components: English Tokeniser, Sentence Splitter, POS Tagger, NP Chunker, VP Chunker, BuChart Parser, MiniPar Parser, WordNet. … Related articles All 8 versions

Using Vector Space Model in Question Answering System A Hartawan, D Suhartono – Procedia Computer Science, 2015 – Elsevier … Procedia Computer Science, Volume 73, 2015, Pages 366-375. Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems. … Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems. … Related articles All 2 versions

Ontology construction for explicit description of domain knowledge R Mervin, S Murugesh, A Jaya – Innovation Information in …, 2015 – ieeexplore.ieee.org … Keywords: Knowledge Based Question Answering System, Ontology, Semantic Information, Semantic web, Artificial Intelligence and Knowledge Base, Requirements Elicitation, Unstructured text. 1.0 Introduction … Entity & Relation Extraction Mapping with Domain Ontology … Related articles All 2 versions

A Review of Question Answering System in Online Health Guide in Natural Language YR Premchand – ijircst.org … III. LITERATURE REVIEW Work of question answering system mainly focuses identification of text ie named entity recognition (NER) and information extraction. … This is a common technique that has been used in many domains (eg, biomedical relation extraction: Li et al., 2008 … Related articles

Decision Making System for Comparative Question Using Entity Mining JV Ramteke, JS Jondhale – International Journal of Innovative Research …, 2015 – ijird.com … Our work on pattern generation is related to the research on entity and relation extraction in information extraction (Cardie, 1997; Califf and Mooney, 1999; Soderland, 1999; Radev et al., 2002; Carreras et al., 2003 … Learning surface text patterns for a question answering system. … Related articles

Short question classification based on semantic extensions Z YE, Y YANG, Z JIA, H YIN… – Journal of Computer …, 2015 – en.cnki.com.cn … Key Words?? topic model question classification search engine question answering system ?Fund?? … Geographic Science and Natural Resources Research,CAS;China National Envirpnment Monitoring Center;;Spatial Relation Extraction from … Related articles

Question Answering FN THOR’S MOST – proselex.net … This is because documents are not an appropriate unit to rank with respect to the goals of a question-answering system. … The patterns are specific to each question type and can either be written by hand or learned automatically using relation extraction methods. … All 5 versions

Core techniques of ontology-based question answering systems: a survey D Diefenbacha, K Singha, P Mareta – Semantic Web Journal – pdfs.semanticscholar.org … described. How these techniques are combined by the different question answering systems is described in the query construction task. … This is the main reason why dependency representations are used for relation extraction. Moreover … Related articles All 2 versions

A WordNet Expansion-Based Approach for Question Targets Identification and Classification T Hao, W Xie, F Xu – … Linguistics and Natural Language Processing Based …, 2015 – Springer … existing research, incorrect QTC has been addressed as one of the major factors for the poor performance of the Question Answering Systems [2]. Moldovan … [20] used three widely used linguistic resources for taxonomic and non-taxonomic relation extraction: WordNet, general … Related articles All 4 versions

Comparator Mining Lead to Better Alternatives for Making Better Decision PR Shirsath, UM Patil – Nanoelectronic and Information …, 2015 – ieeexplore.ieee.org … The work on comparator mining is associated to the research on entity and relation extraction in information mining. … [9] D. Ravichandran and E. Hovy, “Learning Surface Text Patterns for a Question Answering System” Proc. 40th Ann. Meeting on Assoc. … Related articles All 3 versions

Towards an open software architecture for interleaved knowledge and natural language processing M Spies – Scientific Publications of the State University of Novi …, 2015 – scindeks.ceon.rs … Assuming it were equipped with the best IE components, a question-answering system would still be capable only of finding relevant texts relating to a question, but it could not infer or deduce an appropriate answer. … “Relation extraction and scoring in DeepQA”. … Related articles All 3 versions

Indonesian medical sentence transformation for question generation W Suwarningsih, I Supriana… – Wireless and Mobile ( …, 2015 – ieeexplore.ieee.org … [20] Kiyota, Y., Kurohashi, S., and Kido, F., ”Dialog navigator: A question answering system based on large text knowledge base”. … [23] Bunescu, R., and Mooney, R., “A Shortest Path Dependency Kernel for Relation Extraction”, Proceedings of the Human Language Technology … Related articles

Noun ontology generation from Wikipedia article using Map Reduce with pattern based approach J Santoso, JN Nugraha, EM Yuniarno… – … Technology and Its …, 2015 – ieeexplore.ieee.org … We try to measure about accuracy for proposed system using (1). Result of our meronymy relation extraction method experiments can be seen on table 3. … 10 (2013): 4065-4074, 2013. [4] DS Wang, “A Domain-Specific Question Answering System Based on Ontology and … Related articles All 2 versions

A Context-Aware Relation Extraction Method for Relation Completion B Sivaranjani, M Selvaraj – pdfs.semanticscholar.org … the book „The world is flat??”. Currently, question answering systems rely on relation extraction methods to build an offline knowledge base for providing answers to specific questions. RE methods particularly fit the purpose … Related articles

An Open Question Answering Framework. E Marx, T Soru, D Esteves… – … (Posters & Demos), 2015 – pdfs.semanticscholar.org … We demonstrate how openQA can be used to implement, integrate, evaluate and instantiate question answering systems easily by … biguation, internationalization, logical forms, semantic role labels, question reformulation, coreference resolution, relation extraction and named … Related articles All 5 versions

Identifying synonymy between relational phrases using word embeddings NTH Nguyen, M Miwa, Y Tsuruoka, S Tojo – Journal of biomedical …, 2015 – Elsevier … Since this task is performed on top of a relation extraction system, the performance of clustering can be affected by the performance of the extraction system. Another difficulty of the task is the polysemy of natural language, ie, a relational phrase can have multiple senses. … Related articles All 7 versions

Extending Tree Kernels towards Paragraphs B Galitsky, D Ilvovsky, SO Kuznetsov – gelbukh.com … They have found a num- ber of applications in several natural language tasks, eg syntactic pars- ing re-ranking, relation extraction [50], named entity recognition [8] and Semantic Role … Galitsky, B.: Natural language question answering system: Technique of se- mantic headers. … Related articles

Automatic Question Generation and Adaptive Practice T Effenberger – is.muni.cz … 7 2.3 Named Entity Recognition . . . . . 8 2.4 Relation Extraction . . . . . … relation extraction – extraction of relations between the discovered named entities, for example birhDate(Abraham Lincoln, 12 February 1809) (section 2.4). … Related articles

On The Felicitous Applications Of Natural Language MS Naveed, M Sarim, K Ahsan – sci-int.com … Other popular question answering systems are Answerbag, START, Google Knowledge Graph, Blurtit and AllExperts [11]. … Through relation extraction the association between entities in the note is analyzed. Through topic segmentation the most of the above facets are identified. … Related articles

A Semantic Approach for Question Classification Using Register Linear Based Model P Shanthi, I Krishnamurthi – Middle-East Journal of …, 2015 – pdfs.semanticscholar.org … concept used in various fields such as artificial intelligence, natural language processing, information retrieval, relation extraction, document clustering and … In order to provide the next-generation question answering systems with better querying support, a new method like …

Method of automatic annotation information for patents F ZHAO, J MA – Journal of Chongqing University of Posts and …, 2015 – en.cnki.com.cn … Research Center Shenyang Aerospace University,Shenyang 110136;A Kernel Based Method for Technical Keywords Relation Extraction[A];[C … Beijing 100083,China;New method for sentence similarity computing and its application in question answering system[J];Computer … Related articles

A Template Based Algorithm For Automatic Summarization And Dialogue Management For Text Documents PG Desai, H Sarojadevi, NN Chiplunkar – esatjournals.net … adopted for building ontology uses data pre- processing, natural language analysis, concept extraction, semantic relation extraction and ontology … Dang Truong Son, Dao Tien Dung, “Apply a mapping question approach in building the question answering system for vietnamese … Related articles All 2 versions

Research of a New Algorithm of Words Similarity Based on Information Entropy W Xiao-lin, LU Luo-yong… – Computer Technology and …, 2015 – en.cnki.com.cn … ping (Department of Computer Science and Technology,Fuzhou University,Fuzhou 350108);A Taxonomic Relation Extraction Method Based … of Computer Science and Engineering, Southeast University, Nanjing 210096, China);Automatic question answering system based on … Related articles

Temporal Information Extraction Extracting Events and Temporal Expressions A Literature Survey N Gupta – 2015 – cfilt.iitb.ac.in Page 1. Temporal Information Extraction Extracting Events and Temporal Expressions A Literature Survey Naman Gupta 133050012 June 18, 2015 Page 2. Chapter 1 Introduction Information on web is increasing at infinitum. There exists plethora of data on World Wide Web … Related articles All 2 versions

Automatic relation extraction using naïve Bayes classifier for concept relational ontology development G Sureshkumar, G Zayaraz – International Journal of …, 2015 – inderscienceonline.com … However, there are many restrictions in terms of building ontologies that accurately expresses the domain knowledge and information required for applications like question answering systems. … We Page 3. Automatic relation extraction using naïve Bayes classifier 423 … Related articles

Chinese Words Similarity Computation based on How Net LI Guojia – Intelligent Computer and Applications, 2015 – en.cnki.com.cn … College of Information,South China Agriculture University,Guangzhou Guangdong 510642,China);Ontological Question Answering System Based on … of Computer Science and Technology,Fuzhou University,Fuzhou 350108);A Taxonomic Relation Extraction Method Based … Related articles

Finding Best Answers for New Questions In QA Systems V Pande – 2015 – web2py.iiit.ac.in … Related Work Question Answering is a particularly challenging subfield of Information Retrieval in that both the question posed by the user and the answer provided by the system are in natural language. A complete Question Answering system consists of many sub-module. … Related articles

BOOTSTRAP: Mining of Comparable Things K Kundgir, P Dere, S Mohite, P Mithari – oaji.net … J&L work on this method and treated comparative sentence identification as a classification problem and comparative relation extraction is called as an information extraction problem. … 6 Learning Surface Text Patterns for a Question Answering System Proc. 40th Ann. … Related articles All 3 versions

Semantic Role Labeling for Process Recognition Questions S Louvan, C Naik, V Lynn, A Arun, N Balasubramanian… – ai2-website.s3.amazonaws.com … Grade-level science exams are an excellent bench- mark for developing knowledge-driven question answering systems (Clark et al., 2013). … Distant supervision (Mintz et al., 2009), is an in- creasingly popular method for relation extraction and typically used in a setting where we … Related articles All 4 versions

Automatic identification of potentially contradictory claims to support systematic reviews A Alamri, M Stevensony – Bioinformatics and Biomedicine ( …, 2015 – ieeexplore.ieee.org … These errors caused a reduction in the overall performance which could be avoided with more accurate relation extraction techniques. … 118-127. [23] D. Ravichandran and E. Hovy, “Learning surface text patterns for a question answering system,” in Proceedings of the 40th Related articles All 4 versions

Identifying Things, Relations, and Semantizing Data M Rodrigues, A Teixeira – … Applications of Natural Language Processing for …, 2015 – Springer … The same applies to question answering systems as questions are usually about specific domains, and names help to discover the domain as it is … Differently from named entity recognition, relation extraction is not a process of annotating a sequence of tokens of the original … Related articles

Semantic Search and Intelligence System for the Quran K Ouda – 2015 – vlebb.leeds.ac.uk … present semantically related data. 4. Question Answering: implementing a question answering system on the top of previous layers. … 3. Custom Question Answering system for the Quran has to be implemented based on the ontology. … Related articles

Extracting Temporal Expressions from Unstructured Open Resources Z Valizadeh Ardalan – 2015 – upcommons.upc.edu … To be able to answer time-related questions, a question answering system has to know when specific events took place. … While this may be applicable for famous facts and events, question answering systems are often faced with imperfect temporal information. … Related articles

QuranAnalysis: A Semantic Search and Intelligence System for the Quran K Ouda – 2015 – researchgate.net … present semantically related data. 4. Question Answering: implementing a question answering system on the top of previous layers. … 3. Custom Question Answering system for the Quran has to be implemented based on the ontology. 3 Page 14. … Related articles

A Complete Bibliography of ACM Transactions on Asian Language Information Processing NHF Beebe – 2015 – tug.ctan.org … Sekine:2003:HEC [29] Satoshi Sekine and Ralph Grishman. Hindi-English cross-lingual question- answering system. … Mori:2005:JQA [67] Tatsunori Mori. Japanese question-answering system using A* search and its improvement. … Related articles All 10 versions

Evaluation of methods for taxonomic relation extraction from text RL Granada – 2015 – meriva.pucrs.br … PROGRAMA DE PÓS-GRADUAÇÃO EM CIÊNCIA DA COMPUTAÇÃO Evaluation of methods for taxonomic relation extraction from text ROGER LEITZKE GRANADA … Thank you all! Page 10. Page 11. Evaluation of methods for taxonomic relation extraction from text ABSTRACT … Cited by 1 Related articles All 4 versions

Relational paraphrase acquisition from Wikipedia: The WRPA method and corpus M Vila, H Rodríguez, MA Martí – Natural Language …, 2015 – Cambridge Univ Press … for the extraction of paraphrase candidate fragments in the free text of the body of Wikipedia articles (3 in Figure 2). In more detail, the extraction of the source and target entities is performed within the distant learning paradigm for relation extraction, initially proposed by Mintz et … Cited by 6 Related articles All 5 versions

Event Extraction from Classical Arabic Texts. R Baradaran, B Minaei-Bidgoli – Int. Arab J. Inf. Technol., 2015 – ccis2k.org … One of the most important applications of event extraction system is in the information search and question answering systems. Due to the large volume of documents, certain systems to automatically detect and extract relevant information are needed. … Cited by 1 Related articles All 3 versions

Towards Automatically Building a Knowledge Base of Dietary Needs to Address Medical Conditions DW Elayda III, JE Garcia, D Lladoc, P Uy… – 2015 – dlsu.edu.ph … possible by combining different aspects from traditional named entity recognition, ontology-based information extraction and relation extraction. … ontology is populated with sufficient instances, medical nutrition, and dietary recommendation or question- answering systems can be … Related articles All 2 versions

An overview of biomolecular event extraction from scientific documents JA Vanegas, S Matos, F González… – … mathematical methods in …, 2015 – hindawi.com … Automatically creating structured representations of these textual descriptions allows their use in information retrieval and question answering systems, for constructing biological networks composed of such events [2] or for inferring new associations through knowledge … Cited by 2 Related articles All 13 versions

Web-based Chinese term extraction in the field of study R Guo, J Qiu, G Zhang – Semantics, Knowledge and Grids ( …, 2015 – ieeexplore.ieee.org … Achieving term extraction, relation extraction and reasoning the connection between the fields. Ultimately achieve the goal of normative description and sharing. … SRL can contribute to question answering system, information extraction and machine translation applications. … Related articles All 3 versions

A semantic logic-based approach to determine textual similarity E Blanco, D Moldovan – IEEE Transactions on Audio, Speech, and …, 2015 – dl.acm.org … could be read “ has agent “. In order to overcome semantic relation extraction errors, three LFT modes are proposed. … It was first developed as a component in a question answering system and makes use of several publicly avail- able gazetteers. … Cited by 3 Related articles All 4 versions

A genetic algorithm enabled ensemble for unsupervised medical term extraction from clinical letters W Liu, BC Chung, R Wang, J Ng… – Health information …, 2015 – hissjournal.biomedcentral.com … Fahmi [16], in the context of automatic medical question answering system, evaluated and compared several medical term extraction techniques on a Dutch medical corpus, including T-Score, Log-likelihood, Chi-squared and C-Value. … Related articles All 10 versions

Implementation of a Natural Language Processing Tool for CyberPhysical Systems A Diedrich – researchgate.net … question decomposition, automatic source acquisition and evaluation, entity and relation extraction, logical form generation, and knowledge representation and reasoning. … initiated the Open Advancement of Question Answering System (OAQA) [33]. OAQA formulates … Related articles

Supervised machine learning techniques to detect timeml events in french and english B Arnulphy, V Claveau, X Tannier, A Vilnat – International Conference on …, 2015 – Springer … Extracting events from texts is a keystone for many applications concerned with information access (question-answering systems, dialog systems, text mining…). … TempEval-3 7 [27] consisted again in the evaluation of event and temporal relation extraction, but only English and … Cited by 1 Related articles All 8 versions

Arabic Text Mining a Systematic Review of the Published Literature 2002-2014 H Al-Mahmoud, M Al-Razgan – Cloud Computing (ICCC), 2015 …, 2015 – ieeexplore.ieee.org … For all papers in the review, the authors had to read the title and abstract and sometimes skim the paper to decide whether to include it or not. Papers that have Arabic voice, handwriting recognition, and question answering systems as their main concentration were excluded. … Cited by 2 Related articles All 6 versions

Automatic Construction of Domain Ontology Using Wikipedia and Enhancing it by Google Search Engine S Khalatbari, SA Mirroshandel – Information Systems & Telecommunication, 2015 – jist.ir … Ontologies have been useful in lots of applications such as knowledge management, information retrieval, and question answering systems. … The information or knowledge that is contained within the text is extracted by employing relation extraction. … Related articles All 3 versions

Feature assembly method for extracting relations in Chinese Y Chen, Q Zheng, P Chen – Artificial Intelligence, 2015 – Elsevier … Finding the relations of an entity is an effective method for previewing an entity and it can be used to construct a knowledge base or to build a question answering system [33] and [26]. Recently, relation extraction has been a very active field and the research community has … Cited by 2 Related articles All 3 versions

Construction and evaluation of event graphs G Glavaš, J Šnajder – Natural Language Engineering, 2015 – Cambridge Univ Press … Our system is a three-stage pipeline that performs anchor extraction, argument extraction, and relation extraction (temporal relation extraction and event corefer- ence resolution), each at a performance level comparable with the state of the art. … Cited by 2 Related articles All 7 versions

Learning semantic hierarchies: A continuous vector space approach R Fu, J Guo, B Qin, W Che, H Wang… – IEEE/ACM Transactions …, 2015 – ieeexplore.ieee.org … relations . TABLE V COMPARISON OF THE PROPOSED METHOD WITH EXISTING METHODS IN THE TEST SET pairwise relation extraction based on patterns, word distri- butions, and web mining (Section II). Results are … Cited by 3 Related articles All 11 versions

Framing QA as Building and Ranking Intersentence Answer Justifications P Jansen, R Sharp, M Surdeanu, P Clark – pdfs.semanticscholar.org Page 1. Framing QA as Building and Ranking Intersentence Answer Justifications Peter Jansen? University of Arizona Rebecca Sharp?? University of Arizona Mihai Surdeanu† University of Arizona Peter Clark‡ Allen Institute for Artificial Intelligence … Related articles All 2 versions

Joint Information Extraction Q Li – 2015 – pdfs.semanticscholar.org … 11 2.1 Entity Mention Extraction, Relation Extraction, and Event Extraction 11 2.2 Utilizing Dependencies Across Languages . . . . . … 51 3.7.3 Results of End-to-End Relation Extraction . . . . . 54 3.7.4 Results of Complete Joint Model . . . … Related articles All 2 versions

Exploiting the Focus of the Document for Enhanced Entities’ Sentiment Relevance Detection Z Ben-Ami, R Feldman… – Data Mining Workshop ( …, 2015 – ieeexplore.ieee.org … This problem is close to Relation Extraction in a sense. In particular, we are interested in examples from the medical domain regarding three entity types: PERSON, DRUG, and DISEASE, where PERSON is restricted to known physicians. … Related articles All 7 versions

Creating domain specific resources for building semantic role labeling system for operative notes Y Wang – 2015 – conservancy.umn.edu Page 1. CREATING DOMAIN SPECIFIC RESOURCES FOR BUILDING SEMANTIC ROLE LABELING SYSTEM FOR OPERATIVE NOTES A DISSERTATION SUBMITTED TO THE FACULTY OF UNIVERSITY OF MINNESOTA BY YAN WANG … Related articles All 2 versions

Modeling words for online sexual behavior surveillance and clinical text information extraction JA Fries – 2015 – ir.uiowa.edu … names and their corresponding attributes in text. Comprehensive IE is identified as a key requirement of clinical question answering systems and many significant research challenges remain as open problems. We present work examining how a core clinical IE task, sequence … Cited by 1 Related articles

Semantic web and the future of health care data in family practice M Jamoulle, RH Vander Stichele, E Cardillo… – … Research Journal of …, 2015 – orbi.ulg.ac.be … Workshop Proceedings, http://ceur-ws.org/Vol- 1383/paper7.pdf Fahmi I (2009). Automatic term and relation extraction for medical question answering system. Groningen University: 244p. http://dissertations.ub.rug.nl/faculties/arts/2009/i.fahmi/. … Cited by 2 Related articles

Joint named entity recognition and disambiguation G Luo, X Huang, CY Lin, Z Nie – Proc. EMNLP, 2015 – emnlp2015.org … In applications of complex Natural Language Pro- cessing tasks, such as automatic knowledge base construction, entity summarization, and question answering systems, it is essential to first have … (2011) work on jointly entity identifica- tion and relation extraction from Wikipedia. … Cited by 15 Related articles All 11 versions

The concept exploration model and an application Y Zhang, K Gao, B Zhang – Physica A: Statistical Mechanics and its …, 2015 – Elsevier … use social knowledge to recommend keywords to users [11]. By extracting keyword based concepts from community question answering systems and social tagging systems, a faceted query recommendation method is proposed in Ref. [11]. … Related articles All 6 versions

Unsupervised acquisition of entailment relations from the Web I Szpektor, H Tanev, I Dagan… – Natural Language …, 2015 – Cambridge Univ Press … Question Answering system would need to identify that the sentence ‘Oswald assassinated Kennedy’ contains the correct answer; while a Document Summarization system would like to identify that the sentences ‘Yahoo acquired Overture’ and ‘Overture was bought by Yahoo … Cited by 1 Related articles All 5 versions

Sentiment analysis: a review and comparative analysis of web services J Serrano-Guerrero, JA Olivas, FP Romero… – Information …, 2015 – Elsevier … summaries. Question answering systems represent another field where opinions play an important role. Detection of opinion-oriented questions and possible answers, and its treatment are essential to compute good answers. … Cited by 54 Related articles All 5 versions

What Makes It Difficult to Understand a Scientific Literature? M Cao, J Tian, D Cheng, J Liu… – … , Knowledge and Grids ( …, 2015 – ieeexplore.ieee.org … For example, the state-of-the-art results on automatic summarization are not quiet readable yet [6]. Almost all question-answering systems can only handle questions that are either based on single-relation or factual issues with some simple inference and their performance can … Related articles All 6 versions

Context-specific Consistencies in Information Extraction P Klügl – opus.uni-wuerzburg.de Page 1. P eter Klügl Context-specific Consistencies in Information Extraction Peter Klügl Rule-based and Probabilistic Approaches C ontext-specific C on sistencies in Inform ation Extraction Page 2. Peter Klügl Context-specific Consistencies in Information Extraction Page … Related articles All 4 versions

Find relationship among applications L Chen, C Wu, Y Dai – International Journal of Networking …, 2015 – inderscienceonline.com Page 1. 80 Int. J. Networking and Virtual Organisations, Vol. 15, No. 1, 2015 Copyright © 2015 Inderscience Enterprises Ltd. Find relationship among applications Lei Chen* School of Management, Harbin Institute of Technology … Related articles All 2 versions

Extracting Semantics from Microposts R Bansal – 2015 – web2py.iiit.ac.in … information. Various approaches have also been proposed for detecting and tracking posts related to organizations by exploiting entity linking. Automatic Question Answering systems highly depends on the entities involved. The … Related articles

[BOOK] Context-specific Consistencies in Information Extraction: Rule-based and Probabilistic Approaches P Klügl – 2015 – books.google.com Page 1. Peter Klüg Context-specific Consistencies in Information Extraction Rule-based and Probabilistic Approaches [5] S. Anzaroot and A. McCallum. New Dataset for Fine-Grained Citation xtraction. In ICML Workshop on Peer Reviewing and Publishing Models (PEER), 2013. … Related articles All 6 versions

[BOOK] Advanced Applications of Natural Language Processing for Performing Information Extraction MJF Rodrigues, AJ da Silva Teixeira – 2015 – Springer Page 1. 123 Mário Rodrigues António Teixeira Advanced Applications of Natural Language Processing for Performing Information Extraction SPRINGER BRIEFS IN ELECTRICAL AND COMPUTER ENGINEERING SPEECH TECHNOLOGY Page 2. … Related articles All 9 versions

Distantly Supervised Information Extraction Using Bootstrapped Patterns S Gupta – 2015 – www-cs.stanford.edu … entities, and events from unstructured text. The most common entity types are names of people, places, organizations, and locations. Relation extraction systems predict relations between entities in text, for example, city of birth, spouse of, and employee of. Earlier … Cited by 1 Related articles All 2 versions

Sentiment analysis: Detecting valence, emotions, and other affectual states from text SM Mohammad – Emotion Measurement, 2015 – books.google.com … research in domains such as social media texts, and approaches that combine traditional senti- ment analysis with relation extraction can make a … example, if the target query is “what did the users think of iPhone 5’s screen?,” then the question answering system (or information … Cited by 27 Related articles All 5 versions

Universal Schema for Knowledge Representation from Text and Structured Data L Yao – 2015 – scholarworks.umass.edu … 83 7. UNIVERSAL SCHEMA FOR RELATION EXTRACTION ….. 84 7.1 Introduction . . . . . … 110 8. QUESTION ANSWERING FROM FREEBASE ….. 112 8.1 Question Answering System . . . . . … Related articles All 2 versions

[BOOK] KiMIner: Text Mining: the Impact of Protein Kinase Mutations B Chakrabarti – 2015 – getd.libs.uga.edu … Natural Language Processing has wide application in question-answering systems, sentiment analysis, opinion mining and information extraction from literature. … uses dependency parsing for relation extraction. It uses POS tagging, lexicalization and combines a hand- … Related articles

Structured Named Entities N Ringland – 2015 – ses.library.usyd.edu.au Page 1. Copyright and use of this thesis This thesis must be used in accordance with the provisions of the Copyright Act 1968. Reproduction of material protected by copyright may be an infringement of copyright and copyright … Related articles All 2 versions

Knowledge-Based Textual Inference via Parse-Tree Transformations. R Bar-Haim, I Dagan, J Berant – J. Artif. Intell. Res.(JAIR), 2015 – jair.org … Section 6). We evaluated the inference engine on the following tasks: 1. Unsupervised relation extraction from a large corpus. … For example, Question-Answering systems need to verify that the retrieved passage text entails the selected answer. … Cited by 1 Related articles All 5 versions

Reading and Reasoning with Knowledge Graphs M Gardner – 2015 – pdfs.semanticscholar.org … 77 4 Relation Extraction 79 … workshops devoted to the subject (Suchanek et al., 2013). These knowledge bases can be used for a variety of tasks: search engines now use them to enrich search results with structured information; many question answering systems convert a … Cited by 2 Related articles All 2 versions

Automatically Ordering Events and Times in Text L Derczynski – Studies in Computational Intelligence. Springer, 2015 – Springer … temporal structure extraction problem. Based on a temporal relation extraction exercise involving systems submitted by researchers across the world, the easy and difficult parts of temporal structure are separated. To tell us where … Cited by 2 Related articles All 4 versions

Distributional Semantic Models of Attribute Meaning in Adjectives and Nouns M Hartung – 2015 – pub.uni-bielefeld.de … At the core of ontology learning is the task of relation extraction, ie, detecting semantically meaningful relations between previously determined or known (eg, by referring to an already existing ontology) domain-specific concepts. Relation extraction. … Cited by 1 Related articles All 4 versions

Afaan Oromo Named Entity Recognition Using Hybrid Approach A Sani – 2015 – etd.aau.edu.et … The task has also very great significance in the Internet search engines and in many of the language engineering applications such as Machine Translation, Question-Answering systems, … Machine Translation • Question-Answering Systems • Indexing for Information Retrieval … Related articles

[BOOK] NLTK essentials N Hardeniya – 2015 – books.google.com … 49 Dependency parsing 50 Chunking 52 Information extraction 55 Named-entity recognition (NER) 56 Relation extraction 57 Summary … 66 The probabilistic model 67 Speech recognition 68 Text classification 68 Information extraction 70 Question answering systems 70 Dialog … All 7 versions

Facts and Reasons: Web Information Querying to Support Agents and Human Decision Making M Samadi – 2015 – reports-archive.adm.cs.cmu.edu … structured data that can be easier to use for both human and external applications. Large- scale question-answering systems such as Watson [Ferrucci et al., 2013] and information extraction systems such as Google Knowledge Graph [Google, 2012] are two examples … Related articles All 6 versions

[BOOK] Semantic Modeling of Textual Entailment: Proof-Based Annotation in a Compositional Framework A Toledo – 2015 – dspace.library.uu.nl … For works that employ a textual entailment recognizer in Question-Answering systems see Harabagiu and Hickl (2006), Celikyilmaz et al. (2009) and Ferrández et al. (2011); for works that use a recognizer in Relation Extraction systems … Related articles

Structured learning with latent trees: A joint approach to coreference resolution E Lassalle – 2015 – hal.inria.fr … if two expressions refer to the same object) is crucial to build accurate semantic representations that can serve as a basis to ad- dress many other NLP related problems such as information extraction, information retrieval, question-answering systems, automatic summarization … Cited by 3 Related articles All 2 versions

Exploiting prior knowledge and latent variable representations for the statistical modeling and probabilistic querying of large knowledge graphs D Krompaß – 2015 – edoc.ub.uni-muenchen.de … commercial applications including well known search engines such as Google, Bing, Yahoo or Facebooks’s Graph search, but also smart question answering systems such as the IBM … Furthermore, [94] applied matrix factorization for relation extraction in universal schemas. … Related articles All 2 versions

Automatic reconstruction of itineraries from descriptive texts L Moncla – 2015 – tel.archives-ouvertes.fr Page 1. Automatic reconstruction of itineraries from descriptive texts Ludovic Moncla To cite this version: Ludovic Moncla. Automatic reconstruction of itineraries from descriptive texts. Information Retrieval [cs.IR]. Université de … Cited by 2 Related articles All 5 versions

[BOOK] Engineering the Web in the Big Data Era: 15th International Conference, ICWE 2015, Rotterdam, The Netherlands, June 23-26, 2015, Proceedings P Cimiano, F Frasincar, GJ Houben, D Schwabe – 2015 – books.google.com … These pattern clusters have been found to be useful for different applications, including Question Answering [4, 7] and relation extraction [5, 9]. A related Open-IE problem is that of automatically extracting and paraphrasing event patterns: those that describe changes in the state … Related articles All 5 versions

NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics RK Jha – 2015 – pdfs.semanticscholar.org Page 1. NLP Driven Models for Automatically Generating Survey Articles for Scientific Topics by Rahul Kumar Jha A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Computer … Related articles All 5 versions

Joint parsing of syntactic and semantic dependencies X Lluís – 2015 – upcommons.upc.edu Page 1. Universitat Polit`ecnica de Catalunya Ph.D. Thesis Joint Parsing of Syntactic and Semantic Dependencies Xavier Llu?s advisors Doctor Xavier Carreras Doctor Llu?s M`arquez Departament de Ci`encies de la Computació Programa de Doctorat en Intel·lig`encia Artificial … Related articles All 2 versions

[BOOK] Opportunities to Speak: A Qualitative Study of a Second Language in Use KL Kolstrup – 2015 – academia.edu Page 1. Opportunities to speak A qualitative study of a second language in use Kirsten L. Kolstrup Page 2. The work in this thesis has been carried out under the auspices of the Center for Language and Cognition Groningen … Cited by 4 Related articles All 4 versions