Relation Extraction & Question Answering Systems 2017


Notes:

  • Semantic engineering
  • Semantics engineering

Resources:

Wikipedia:

References:

See also:

100 Best GitHub: Relation Extraction | 100 Best Relation Extraction Videos | Relation Extraction & Dialog Systems


Reading wikipedia to answer open-domain questions
D Chen, A Fisch, J Weston, A Bordes – arXiv preprint arXiv:1704.00051, 2017 – arxiv.org
… Figure 1: An overview of our question answering system DrQA … Follow- ing previous work on distant supervision (DS) for relation extraction (Mintz et al., 2009), we use a procedure to automatically associate paragraphs to such training examples, and then add these exam- ples to …

Neural network-based question answering over knowledge graphs on word and character level
D Lukovnikov, A Fischer, J Lehmann… – Proceedings of the 26th …, 2017 – dl.acm.org
… require manual adaption to new domains. AskNow [10], for example, uses a pipeline comprising a POS tagger, template- fitting, relation extraction, token merging and entity map- ping. The Qanary methodology [5] follows an …

Survey on challenges of question answering in the semantic web
K Höffner, S Walter, E Marx, R Usbeck… – Semantic …, 2017 – content.iospress.com
… There is a wide variety of techniques that can be applied at the analyzer stage, such as tokenisation, disambiguation, internationalization, logical forms, semantic role labels, question reformulation, coreference resolution, relation extraction and named entity recognition …

Nous: Construction and querying of dynamic knowledge graphs
S Choudhury, K Agarwal, S Purohit… – … (ICDE), 2017 IEEE …, 2017 – ieeexplore.ieee.org
… various components of NOUS’s knowledge graph construction pipeline as shown in Figure 1. The user interface and the question-answering system is dis … document (such as a news article or blog post), and then process it sentence by sentence for entity and relation extraction …

A brief survey of text mining: Classification, clustering and extraction techniques
M Allahyari, S Pouriyeh, M Assefi, S Safaei… – arXiv preprint arXiv …, 2017 – arxiv.org
Page 1. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques Mehdi Allahyari Computer Science Department University of Georgia Athens, GA mehdi@uga.edu Seyedamin Pouriyeh Computer Science …

CoType: Joint extraction of typed entities and relations with knowledge bases
X Ren, Z Wu, W He, M Qu, CR Voss, H Ji… – Proceedings of the 26th …, 2017 – dl.acm.org
… Once ex- tracted, such structured information is used in many ways, eg, as primitives in information extraction, knowledge base popula- tion [10, 52], and question-answering systems [48, 3]. Traditional systems for relation extraction [2, 9, 17] partition the process into several …

Answering who/when, what, how, why through constructing data graph, information graph, knowledge graph and wisdom graph
L Shao, Y Duan, X Sun, H Gao… – Proceedings of the …, 2017 – pdfs.semanticscholar.org
… In [9] the authors presented a natural-language question-answering system that gives access to the accumulated knowledge of one of the largest community projects via an … [14] K. Xu, S. Reddy, Y. Feng, et al., Question Answering on Freebase via Relation Extraction and Textual …

QAestro–semantic-based composition of question answering pipelines
K Singh, I Lytra, ME Vidal, D Punjani, H Thakkar… – … on Database and Expert …, 2017 – Springer
… For instance, the analysis of a question often includes tasks such as named entity recognition, disambiguation, and relation extraction, to name a few … 6 Related Work. Since 2010, more than 70 Question Answering Systems have been developed [12] …

Matching Natural Language Relations to Knowledge Graph Properties for Question Answering
IO Mulang, K Singh, F Orlandi – … of the 13th International Conference on …, 2017 – dl.acm.org
… We identify this as a major research gap in collaborative question answering system development. e creation of a standalone and reusable component for relation extraction and linking in this context would not only facilitate reuse of the component in di erent QA systems but …

MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks
JY Lee, F Dernoncourt, P Szolovits – arXiv preprint arXiv:1704.01523, 2017 – arxiv.org
… In this work, we concentrate on the second step (often referred to as relation extraction or classi- fication) and on binary relations, ie relations be- tween two entities. Extracted relations can be used for a variety of tasks such as question-answering systems (Ravichandran and …

A RADAR for information reconciliation in Question Answering systems over Linked Data 1
E Cabrio, S Villata, A Palmero Aprosio – Semantic Web, 2017 – content.iospress.com
… Select this link to jump to navigation A RADAR for information reconciliation in Question Answering systems over Linked Data 1 … Question Answering systems over Linked Data try to address this need by allowing users to query Linked Data using natural language …

Text mining to support gene ontology curation and vice versa
P Ruch – The Gene Ontology Handbook, 2017 – Springer
… 2.4 Normalization and Relationship Extraction. In order to compensate for the limitations of named-entity recognition frameworks, two more complementary approaches have been proposed: entity normalization and information (or relationship) extraction …

A knowledge graph based speech interface for question answering systems
AJ Kumar, C Schmidt, J Köhler – Speech Communication, 2017 – Elsevier
… A review of existing spoken question answering systems is presented in this paper, and the limitations are discussed … Language processing involves parts of speech tagging, parsing, named entity extraction, relation extraction, sequence labeling etc …

Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks.
C Kruengkrai, K Torisawa, C Hashimoto, J Kloetzer… – AAAI, 2017 – aaai.org
… event causality candi- dates from four billion web pages by three distinct methods, including a why-question answering system, and feed … and Blunsom 2014; Kim 2014; Johnson and Zhang 2015), paraphrase (Yin and Schütze 2015), and relation extraction/classification (dos …

An effective corpus-based question answering pipeline for Italian
E Damiano, R Spinelli, M Esposito… – … Conference on Intelligent …, 2017 – Springer
… Vargas-Vera, M., Lytras, MD: AQUA: a closed-domain question answering system. Inf. Syst. Manag. 27(3), 217–225 (2010)CrossRefGoogle Scholar. 21. Wang, C., Kalyanpur, A., Fan, J., Boguraev, BK, Gondek, D.: Relation extraction and scoring in DeepQA. IBM J. Res. Dev …

Grounding proposition stores for question answering over linked data
B Cabaleiro, A Peñas, S Manandhar – Knowledge-Based Systems, 2017 – Elsevier
… However, the importance of the lexicons that are central to this mapping remains unmeasured because question answering systems are evaluated as end-to-end systems … 3. System architecture. In this section we revise the architecture of the question answering system …

Core techniques of question answering systems over knowledge bases: a survey
D Diefenbach, V Lopez, K Singh, P Maret – Knowledge and Information …, 2017 – Springer
Page 1. Knowl Inf Syst DOI 10.1007/s10115-017-1100-y SURVEY PAPER Core techniques of question answering systems over knowledge bases: a survey … 123 Page 3. Core techniques of question answering systems over knowledge… 2 Related work …

Open information extraction
DT Vo, E Bagheri – Encyclopedia with Semantic Computing and …, 2017 – World Scientific
… Another approach in the second generation, clause-based relation extraction, uses dependency parsing and a set of rules for … For instance, TextRunner can support user input queries such as \(?, kill, bacteria)” or \(Barack Obama, ?, US)” similar to Question Answering systems …

Low cost text mining as a strategy for qualitative researchers
J Rose, C Lennerholt – Electron. J. Bus. Res. Method, 2017 – researchgate.net
… together, they might encompass statistical natural language processing, information extraction, question-answering systems, opinion mining … Common text analysis tasks include classification, clustering, entity recognition, relationship extraction, text summarization, question …

KBQA: learning question answering over QA corpora and knowledge bases
W Cui, Y Xiao, H Wang, Y Song, S Hwang… – Proceedings of the …, 2017 – dl.acm.org
Page 1. KBQA: Learning Question Answering over QA Corpora and Knowledge Bases Wanyun Cui§ Yanghua Xiao§ Haixun Wang‡ Yangqiu Song¶ Seung-won Hwang? Wei Wang§ §Shanghai Key Laboratory of Data Science …

Implicit discourse relation recognition for english and Chinese with multiview modeling and effective representation learning
H Li, J Zhang, C Zong – ACM Transactions on Asian and Low-Resource …, 2017 – dl.acm.org
… 2013], and question answering [Jansen et al. 2014]. For instance, contrast relation recognition can eliminate intrasentence po- larity ambiguities, and contingency relation detection can improve question answering systems and event relation extraction …

Self-training on refined clause patterns for relation extraction
DT Vo, E Bagheri – Information Processing & Management, 2017 – Elsevier
… Information Processing & Management. Self-training on refined clause patterns for relation extraction … Within the context of Information Extraction (IE), relation extraction is oriented towards identifying a variety of relation phrases and their arguments in arbitrary sentences …

Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern
L Bing, Z Zhang, W Lam, WW Cohen – Knowledge-Based Systems, 2017 – Elsevier
… facts. The traditional way of collecting facts is to process a large corpus to perform named-entity disambiguation followed by relation extraction, as is done in NELL [9] and ReVerb [13]. We call this model a “trawling” model. In …

CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation
S Shekarpour, V Shalin, K Thirunarayan… – arXiv preprint arXiv …, 2017 – arxiv.org
… (I) Relation Extraction: Decades of research in the field of … (3) Access layer: NIF-aware applications publish their output using the NIF format via REST APIs. 2. QANARY15 [11, 1] is intended to facilitate interoperability among component of question answering systems …

A natural language interface to a graph-based bibliographic information retrieval system
Y Zhu, E Yan, IY Song – Data & Knowledge Engineering, 2017 – Elsevier
… of graph queries. 2) Graph relation extraction (step 3 to 5): Based on the results of named entity recognition and extraction, this component identifies and extracts relations among bibliographic named entities. 3) Graph query …

Graph-based RDF data management
L Zou, MT Özsu – Data Science and Engineering, 2017 – Springer
… learn and use, especially for casual users. Therefore, we also design a RDF question/answering system, called gAnswer [37], to answer users’ natural language questions over RDF repositories. The core idea is to translate …

Extracting semantic relations from the Quranic Arabic based on Arabic conjunctive patterns
R Bentrcia, S Zidat, F Marir – Journal of King Saud University-Computer and …, 2017 – Elsevier
… One such system is the question answering system for Quran (Q&A system) (Abdelnasser et al., 2014; Hakkoum and Raghay, 2016) where the … Also, we define another component that seeks extracting conjunctive patterns to accomplish the relation extraction task, as detailed in …

Building and querying an enterprise knowledge graph
D Song, F Schilder, S Hertz, G Saltini… – IEEE Transactions …, 2017 – ieeexplore.ieee.org
… 5 Fig. 2. An Example of the Named Entity Recognition, Entity Linking, Relation Extraction and Knowledge Graph Update Process … 7 5.2 Enabling Question Completion with Auto-suggest Traditional question answering systems often require users to enter a complete question …

Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs
H Li, C Xiong, J Callan – cs.cmu.edu
… 7 Conclusions and Future Work This work focuses on the relation matching problem in knowledge based question answering systems … ACM. [6] M. Mintz, S. Bills, R. Snow, and D. Jurafsky. Distant supervision for relation extraction without labeled data …

ADANS: An agriculture domain question answering system using ontologies
M Devi, M Dua – Computing, Communication and Automation …, 2017 – ieeexplore.ieee.org
… knowledge base. Pattern based method or machine learning approach is being used in relation extraction. The question analysis … of the system. QAPD[2]: an ontology-based question answering system in the physics domain. This is …

Hybrid Deep Open-Domain Question Answering
A Aghaebrahimian – ufal.mff.cuni.cz
… 2015). Knowledge graphs (eg Freebase (Bollackeretal.,2007)) are big ontologies of concepts and their relations. They are clean, efficient and scalable data structures for entity detection and relation extraction. However, they …

Self-learning improvement by means of cloud computing
GCÄ Deac, CN Deac, CE Cotet, M Ghinea – International Conference on …, 2017 – icesba.eu
… Answering System • Image Captioning Recursive Neural Networks • Parsing sentences • Sentiment Analysis • Paraphrase detection • Relation Classification • Object detection Convolutional Neural Network – (CNN) • Sentence/ Text classification • Relation extraction and …

Leveraging question target word features through semantic relation expansion for answer type classification
T Hao, W Xie, Q Wu, H Weng, Y Qu – Knowledge-Based Systems, 2017 – Elsevier
… On the other hand, practical open-domain question answering systems require very high accurate classification performance … Eduard et al. [29] used three widely used linguistic resources for taxonomic and non-taxonomic relation extraction: WordNet, general corpora acquired …

AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data
S Hakimov, S Jebbara, P Cimiano – International Semantic Web …, 2017 – Springer
… adding lexical entries inferred via similarity in embedding space (+Embed), but are still far from the results with manually created dictionary (Dict), showing that addressing the lexical gap is an important issue to increase performance of question answering systems over linked …

Relation Extraction and Its Application to Question Answering
Y Xu – 2017 – era.library.ualberta.ca
… ii Page 3. task. Last but not least, to show the effect of our relation extraction systems, we built an Open IE-based question answering system and achieved promising results. Our analysis indicates the weakness of the current Open IE systems …

Capturing Knowledge in Semantically-typed Relational Patterns to Enhance Relation Linking
K Singh, IO Mulang, I Lytra, MY Jaradeh… – Proceedings of the …, 2017 – dl.acm.org
… KEYWORDS Question Answering Systems; Relation Linking; Knowledge Graphs; Knowledge Capture … further be viewed as a pipeline consisting of several sub-tasks, namely: named entity recognition (NER), named entity disambiguation (NED), relation extraction and linking …

An automatic question answering system for the Arabic Quran
MAH Adany – 2017 – repository.sustech.edu
… College of Post Graduate Studies An automatic question answering system for the Arabic Quran … I, the signing here-under, declare that I am the supervisor of the sole author of the Ph.D. dissertation entitled: An automatic question answering system for the Arabic Quran …

Conclusions and Future Prospects
A Camus – pdfs.semanticscholar.org
Page 1. University of Groningen Automatic term and relation extraction for medical question answering system Fahmi, Ismail … Citation for published version (APA): Fahmi, I. (2009). Automatic term and relation extraction for medical question answering system sn …

Query Expansion Based on WordNet and Word2vec for Italian Question Answering Systems
E Damiano, A Minutolo, S Silvestri… – … Conference on P2P …, 2017 – Springer
… Query Expansion Based on WordNet and Word2vec for Italian Question Answering Systems … 6(2), 74–89 (2016)CrossRefGoogle Scholar. 15. Alicante, A., Corazza, A., Isgrò, F., Silvestri, S.: Unsupervised entity and relation extraction from clinical records in Italian. Comput. Biol …

BioNLP 2017
KB Cohen, D Demner-Fushman, S Ananiadou, J Tsujii – BioNLP 2017, 2017 – aclweb.org
… A Biomedical Question Answering System in BioASQ 2017 Mourad Sarrouti and Said Ouatik El Alaoui … Representations of Time Expressions for Temporal Relation Extraction with Convo- lutional Neural Networks Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard and …

AReview ON NEURAL NETWORK QUESTION ANSWERING SYSTEMS
L Kodra, EK Meçe – researchgate.net
… This paper presents a review to summarize the state of the art in question answering systems implemented using neural networks … KEYWORDS Information Retrieval, Question Answering Systems, Neural Networks 1. INTRODUCTION …

Efficiency-aware Answering of Compositional Questions using Answer Type Prediction
D Ziegler, A Abujabal, RS Roy, G Weikum – Proceedings of the Eighth …, 2017 – aclweb.org
… Deepak Ravichandran and Eduard Hovy. 2002. Learn- ing surface text patterns for a question answering system. In ACL. Denis Savenkov and Eugene Agichtein. 2016 … 2016. Question answering on freebase via relation extraction and textual evidence. In ACL …

A New Question Answering Approach with Conceptual Graphs.
KM Kim, J Jung, J Ryu, HM Park, JP Joohee, S Jeong… – CORIA, 2017 – ir.kaist.ac.kr
… It is one of the main differences between the proposed approach and the conventional information retrieval (IR) based QA approach or an open-domain relation extraction (Open-IE) approach, where strings composed of words or phrases appearing in the source text are used …

Cause and Effect Extraction from Biomedical Corpus
S Gopalan, SL Devi – Computación y Sistemas, 2017 – cys.cic.ipn.mx
… This system makes a significant contribution towards the question answering system particularly the answering of Why-Questions and text summarization … step the input text was preprocessed to convert it to the format required for explicit discourse relation extraction and BNE …

Personal Attributes Extraction in Chinese Text Based on Distant-Supervision and LSTM
W Yao, J Liu, Z Cai – Advances in Computer Science and Ubiquitous …, 2017 – Springer
… Attribute extraction is very important for information retrieval, question answering system and knowledge reasoning … This method not only solves the problem of data sparseness in relation extraction, but also improves the recall rate and accuracy rate of entity attribute relation …

An Effective Corpus-Based Question Answering Pipeline for Italian
G De Pietro – … Interactive Multimedia Systems and Services 2017, 2017 – books.google.com
… Dev. 56 (3.4), 2: 1 (2012) Li, T., Hao, Y., Zhu, X., Zhang, X.: A Chinese question answering system for specific domain, pp. 590–601 … Inf. Syst. Manag. 27 (3), 217–225 (2010) Wang, C., Kalyanpur, A., Fan, J., Boguraev, BK, Gondek, D.: Relation extraction and scoring in DeepQA …

The 13th International Scientific Conference eLearning and Software for Education Bucharest, April 27-28, 2017
D TRANDAB?? – ceeol.com
… reference is the research of the Watson group from IBM, and their discoveries on snippets evaluation and relationship extraction with direct … explored for eLearning [17], the only relation made so far between semantic roles and eLearning is through question answering systems …

RelNet: End-to-end Modeling of Entities & Relations
T Bansal, A Neelakantan, A McCallum – arXiv preprint arXiv:1706.07179, 2017 – arxiv.org
… and reasoning relies on a pipeline of natural lan- guage processing systems, often consisting of named entity extraction [13], entity resolution and coreference [14], relationship extraction [5], and … There is a long line of work in textual question-answering systems [22, 23] …

Fundamentals on Language Computing
Q Du, C Zong, KY Su, M Nuo, C Lun, H Liu, J Yu… – pdfs.semanticscholar.org
… 506 Chao Lv, Yansong Feng, and Dongyan Zhao Exploring Long Tail Data in Distantly Supervised Relation Extraction … 711 Qingrong Xia, Zhenghua Li, Jiayuan Chao, and Min Zhang Open Domain Question Answering System Based on Knowledge Base …

Action Languages and Question Answering
Y Lierler, D Inclezan, M Gelfond – IWCS 2017—12th International …, 2017 – aclweb.org
… This paper describes a methodology for designing Question Answering systems that utilize an action language ALM to allow inferences based on complex interactions … Stage 1 or Entity and relation extraction: The goal of this stage is to take an English discourse as an input and …

A Hybrid Approach for Biomedical Relation Extraction Using Finite State Automata and Random Forest-Weighted Fusion
T Mavropoulos, D Liparas, S Symeonidis, S Vrochidis… – researchgate.net
… is considered to be a very important task, due to the multitude of applications that it can support, from question answering systems to the … In this study, we extend a previ- ously established hybrid framework for medical relation extraction, which we modify by enhancing the pattern …

Deep Knowledge Representation based on Compositional Semantics for Chinese Geography
S Xiong, X Wang, P Duan, Z Yu… – … Conference on Agents and …, 2017 – scitepress.org
… various test items and types, and put forward a huge challenge to human like intelligent question answering system understanding of … paper, we applied the DAG deep knowledge representation to tackle the Chinese geographical knowledge entity relation extraction task with …

SRDF: A Novel Lexical Knowledge Graph for Whole Sentence Knowledge Extraction
S Nam, GH Choi, KS Choi – International Conference on Language, Data …, 2017 – Springer
… knowledge in a reified triple form for it to be compatible with existing semantic web applications such as the question answering system … 323 (2012)CrossRefGoogle Scholar. 4. Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled …

SEMANTIC ROLE ANNOTATION FOR ELEARNING
D Trandabat – The International Scientific Conference …, 2017 – search.proquest.com
… reference is the research of the Watson group from IBM, and their discoveries on snippets evaluation and relationship extraction with direct … explored for eLearning [17], the only relation made so far between semantic roles and eLearning is through question answering systems …

Recovering Question Answering Errors via Query Revision
S Yavuz, I Gur, Y Su, X Yan – Proceedings of the 2017 Conference on …, 2017 – aclweb.org
… We eval- uate our method using STAGG (Yih et al., 2015) as the base question answering system … 2016b. Question answering on freebase via relation extraction and textual evidence. In Annual Meeting of the Association for Computa- tional Linguistics (ACL).

Utilizing typed dependency subtree patterns for answer sentence generation in question answering systems
R Perera, P Nand, A Naeem – Progress in Artificial Intelligence, 2017 – Springer
… Question Answering over Linked Data (QALD) refer to the use of Linked Data by question answering systems, and in recent times … to information extraction-based techniques which involve error-prone sub-processes, such as named entity extraction, relation extraction inter alia …

Ontology-Based Question Answering System in Restricted Domain
R Mohemad, NMM Noor, NH Ali… – … Electronic and Computer …, 2017 – journal.utem.edu.my
… 14, pp. 11593-11606, 2012. [4] G. Suresh kumar, and G. Zayaraz, “Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems,” Journal of King Saud University-Computer and Information Sciences, vol. 27, no. 1, pp. 13-24, 2015 …

Question Answering and Knowledge Graphs
A Moschitti, K Tymoshenko, P Alexopoulos… – Exploiting Linked Data …, 2017 – Springer
… Moreover, in Sect.7.4, we describe a state-of-the art question answering system that combines knowledge coming from the text … Sentence Boundary Disambiguation, Named Entity Recog- nition, Part-of-speech Tagging, Chunking, Parsing, Relation Extraction, Semantic Role …

CoType: Joint Typing of Entities and Relations in Massive Text Data
X Ren – Proceedings of the 2017 ACM International …, 2017 – dl.acm.org
… such structured information is used in many ways, eg, as primitives in information extraction [17, 37, 30, 2], knowledge base construction or population [8, 38, 32, 14] and question-answering systems [34, 11, 43]. Background. Traditional systems for relation extraction [1, 7 …

Question Answering Systems: A Review on Present Developments, Challenges and Trends
L Kodra, EK Meçe – INTERNATIONAL JOURNAL OF …, 2017 – pdfs.semanticscholar.org
… Vol. 8, No. 9, 2017 217 | P age www.ijacsa.thesai.org Question Answering Systems: A Review on Present … Abstract—Question Answering Systems (QAS) are becoming a model for the future of web search. In this paper we present a study of the latest research in this area …

Desire: Deep Semantic Understanding and Retrieval for Technical Support Services
P Mohapatra – … –ICSOC 2016 Workshops: ASOCA, ISyCC, BSCI …, 2017 – books.google.com
… In recent times, a number of classifiers using deep learning techniques have been built for question answering systems [2]. When there are commonly repeat … We use Statistical Information and Relation Extraction (SIRE)[5] for detec- tion of symptom, intent and attempt mentions …

Relation Extraction: A Survey
S Pawar, GK Palshikar, P Bhattacharyya – arXiv preprint arXiv:1712.05191, 2017 – arxiv.org
Page 1. Relation Extraction : A Survey … The task of Relation Extraction (RE) is to identify such relations automatically. In this pa- per, we survey several important supervised, semi-supervised and unsupervised RE techniques …

Frame-based Semantic Patterns for Relation Extraction
A Mandya, D Bollegala, F Coenen, K Atkinson – cgi.csc.liv.ac.uk
… More specifically, we proposed frame element and frame pat- terns exploiting the FrameNet annotations for relation extraction, which were evaluated against lexico-syntactic and … Ravichandran, D., Hovy, E.: Learning surface text patterns for a question answering system …

STATISTICAL RELATIONAL LEARNING AND SCRIPT INDUCTION FOR TEXTUAL INFERENCE
R Mooney – 2017 – dtic.mil
… We have developed four different algorithmic components for aiding relation extraction and textual inference – Distributed Markov Logic Semantics, Learning Bayesian Logic Programs for Textual Inference; Stacking for Relational Extraction and Statistical Script Induction. 15 …

QA-Driven Relation Extraction
Z Wu, A Yadav, W Zhou – pdfs.semanticscholar.org
… VI. CONCLUSION This project studies error reduction in distant supervision by leveraging the feedback signals from the question answering system to the relation extraction. The framework transforms the relation instances obtained …

A knowledge and reasoning toolkit for cognitive applications
M Canim, C Cornelio, R Farrell, A Fokoue… – Proceedings of the fifth …, 2017 – dl.acm.org
… Following relation extraction, another microservice connects entities and rela- tions extracted from text units with the both nodes and properties … Ultimately, a question answering system or dialogue system should be able to query the resulting graph to answer ques- tions …

Natural Language Aggregate Query over RDF Data
X Hu, Y Yao, L Ye, D Dang – arXiv preprint arXiv:1710.07891, 2017 – arxiv.org
… evaluated the suitability of the distributional- compositional semantics model applied to the construction of a question answering system for linked … Natural Language Processing) literature suggests that the dependency structure is more stable for the relation extraction [39], and …

Improved Knowledge Base Completion by the Path-Augmented TransR Model
W Huang, G Li, Z Jin – International Conference on Knowledge Science …, 2017 – Springer
… Large scale knowledge bases such as WordNet [1] and FreeBase [2] are important resources for natural language processing (NLP) applications like web searching [3], automatic question answering systems [4], and … Relation extraction is an important research topic in NLP …

Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual online dictionaries, and WordNet
T YILDIZ, B Diri, S YILDIRIM – Turkish Journal of Electrical …, 2017 – journals.tubitak.gov.tr
… synonymy relation. For meronym relation extraction, some LSPs are categorized into 3 forms for the Turkish corpus: general patterns, dictionary-based patterns, and bootstrapped patterns, as proposed in a previous work [34]. All …

Detect Incorrect Triples in Knowledge Base Based on Triple Confidence Evaluation
H Xie, X Lu, Z Tang, X Huang – … of the 3rd International Conference on …, 2017 – dl.acm.org
… Keywords Confidence Evaluation; Knowledge Base; Knowledge Service; Relation Extraction; Triple … problems [2]. The knowledge service industry aims at providing high-level information service applications such as knowledge-based question answering system and semantic …

Special issue on soft computing and intelligent systems: Tools, techniques and applications
SM Thampi, ESM El-Alfy – Journal of Intelligent & Fuzzy …, 2017 – pdfs.semanticscholar.org
… Four papers in this special issue deal with prominent feature extraction in question-answering systems, automated processing and recognition of human speech … [16] RRK Menon, D. Joseph and MR Kaimal, Semantics- based topic inter-relationship extraction, Journal of …

From French Wikipedia to Erudit: A test case for cross?domain open information extraction
F Gotti, P Langlais – Computational Intelligence, 2017 – Wiley Online Library
… One of the most striking projects is IBM’s Watson question answering system,3 which exploits the information extracted from over 200 million Web … The empirical POS?based regular expression at the heart of relation extraction was changed from the original (shown in Figure 1 …

A Study on Natural Language Processing for Human Computer Interaction
N MPSTME – ijarcet.org
… The technique of entity and relationship extraction was introduced to check if the document and the entities extracted from it are … by offering vocal interaction possibilities in addition to graphical and touch screen interactions; and, more recently, question-answering systems(QAS …

ON USAGE OF MACHINE LEARNING FOR NATURAL LANGUAGE PROCESSING TASKS AS ILLUSTRATED BY EDUCATIONAL CONTENT MINING
AV Melnikov, DS Botov, JD Klenin – ????????? ??????????????, 2017 – cyberleninka.ru
… relation extraction, fact extraction … This classifier was also used to determine similarity between nodes, extracted from the graph of the knowledge base, and the correct answer as part of the natural language question-answering systems [14] …

Extraction of ObjectProperty-UsageMethod Relation from Web Documents.
C Pechsiri, S Phainoun… – Journal of Information …, 2017 – search.ebscohost.com
… The research results can provide high precision in the HerbalMedicinalProperty- UsageMethod relation extraction … Their treatment relation extraction was based on a couple of medical entities or noun phrases occurring within a single sentence …

Community graph and linguistic analysis to validate relationships for knowledge base population
R Rahman, B Grau, S Rosset – 4th International Symposium on …, 2017 – ceur-ws.org
… about the object of a relation and words around the mentions have been taken into account for web relation extraction by (Au … in pub- lishing networks (Holzinger et al., 2013) and mu- tual information for the validation of responses in question answering systems (Magnini et al …

Building Structured Databases of Factual Knowledge from Massive Text Corpora
X Ren, M Jiang, J Shang, J Han – Proceedings of the 2017 ACM …, 2017 – dl.acm.org
… implicit relation iii. Downstream applications A. Knowledge base completion B. Question answering systems (b) Traditional supervised RE systems i. Supervised RE methods A. Supervised models B. Features for relation extraction C. Training data D. Evaluation of RE task …

Learning local and global contexts using a convolutional recurrent network model for relation classification in biomedical text
D Raj, S SAHU, A Anand – Proceedings of the 21st Conference on …, 2017 – aclweb.org
… compare our CRNN model with several baselines on two biomedical datasets, namely the i2b2- 2010 clinical relation extraction challenge dataset … most search queries are some forms of binary fac- toids (Agichtein et al., 2005), modern question- answering systems rely heavily …

Enriching learning materials with semantic roles
D Trandab?? – Procedia Computer Science, 2017 – Elsevier
… reference is the research of the Watson group from IBM, and their discoveries on snippets evaluation and relationship extraction with direct … explored for eLearning [17], the only relation made so far between semantic roles and eLearning is through question answering systems …

Designing an adaptive attention mechanism for relation classification
P Qin, W Xu, J Guo – Neural Networks (IJCNN), 2017 …, 2017 – ieeexplore.ieee.org
… Rong, Y. Shen, Y. Ouyang, and Z. Xiong, “Multidi- mensional scaling based knowledge provision for new questions in community question answering systems,” in Neural … [10] M. Mintz, S. Bills, R. Snow, and D. Jurafsky, “Distant supervision for relation extraction without labeled …

Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs
S Hu, L Zou, JX Yu, H Wang… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… The semantic relation extraction is based on the dependency tree of users’ question sentence and a relation mention dictionary (see more details in Section 4.1). If the two semantic relations have one common node, they share one endpoint in QS …

A LITERATURE SURVEY ON ENTITY EXTRACTION TECHNIQUES IN BIO-MEDICAL DATASETS
R Sivashankari, B Valarmathi – ijptonline.com
… 14 [14] Robust Linear Classifier, Hidden Markov Model, Maximum Entropy , Transformat ion Based Learning EE E, G IBM question answering system Approac hes E G P R P R HMM 0.82 0.74 … PKDE4J: Entity and relation extraction for public knowledge discovery …

Learning Semantic Patterns for Question Generation and Question Answering
HP Rodrigues – 2017 – pdfs.semanticscholar.org
… Bouma et al. [2011] report a relation extraction technique for both open and closed domain Page 17. 3.1 … DIPRE [Brin, 1999] and Snowball [Agichtein and Gravano, 2000], which was based on the first, are two relation extraction systems that also use patterns …

Review of Chinese entity relation extraction
W Zirui, M Fang, J Libiao – Control Science and Systems …, 2017 – ieeexplore.ieee.org
… As an important part of information extraction technology, Entity relation extraction has important research value and wide application in many fields, such as semantic annotation, text comprehension, the construction of Intelligent Question-Answer System, and machine …

Construction and Verification of Knowledge Base of Political & Economy News based on Mixed Algorithm of Subgraph Feature Extraction and RESCAL
P Wu, J Luo, Y Zhu, W Zhang – International Journal of …, 2017 – ijpe-online.com
… of knowledge bases for relation extraction,” in Proceedings of Conference on Empirical Methods in Natural Language, pp. 171-180, Irina, Matveeva, April 2014; W. Cui, Y. Xiao, and W. Wang, “KBQA: an online template based question answering system over freebase,” in …

Computational Natural Language Inference: Robust and Interpretable Question Answering
RR Sharp – 2017 – search.proquest.com
Computational Natural Language Inference: Robust and Interpretable Question Answering. Abstract. We address the challenging task of computational natural language inference, by which we mean bridging two or more natural …

A hybrid-based method for Chinese domain lightweight ontology construction
J Qiu, L Qi, J Wang, G Zhang – International Journal of Machine Learning …, 2017 – Springer
… In Pennacchiotti and Pantel [40], lexical patterns are learned based on a small set of seed instances, and a weakly-supervised iterative algorithm is used for semantic relation extraction … 1 3 automatic feature learning via neural network (NN) based models for relation extraction …

PATENT DOCUMENT SUMMARIZATION USING CONCEPTUAL GRAPHS
PRK Rao, SL Devi – pdfs.semanticscholar.org
… Conceptual graphs have been used in applications such as question answering systems and information retrieval systems to improve the performance of the systems … Table 1. Results of the Concept relation extraction Method Precision (%) Recall (%) F-measure (%) …

The study of deep learning under big data
W Jinjia, C Hao, L Qingyu – Chinese High Technology Letters, 2017 – en.cnki.com.cn
… Beijing University of Posts and Telecommunications;;Ranking Potential Reply-Providers in Community Question Answering System[J];???? … of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China);Chinese Relation Extraction Based on …

MERF: Morphology-based Entity and Relational Entity Extraction Framework for Arabic
AA Jaber, FA Zaraket – arXiv preprint arXiv:1709.05700, 2017 – arxiv.org
… Such techniques require advanced linguistic and programming expertise. QARAB is a question answering system that takes Arabic natural language queries and provides short answers [20] … Regular Expression Simulator Tag Chunks Relation Extraction & Action Execution …

Knowledge Architecture for Organisations
R Denaux, Y Ren, B Villazon-Terrazas… – Exploiting Linked Data …, 2017 – Springer
… development. Many works on Page 9. 3 Knowledge Architecture for Organisations 65 this topic try to tackle specific tasks, such as concept and relation extraction, extending existing ontologies and ontology population [26, 181, 228]. For …

Detection of contradictions by relation matching and uncertainty assessment
V Dragos – Procedia Computer Science, 2017 – Elsevier
… Keywords: contradiction identification; relation extraction; uncertainty assessment … Much of the earlier research in contradiction detection has been performed in the field of natural language process- ing, as question/answering systems needed new solutions to answer negative …

EliIE: An open-source information extraction system for clinical trial eligibility criteria
T Kang, S Zhang, Y Tang, GW Hruby… – Journal of the …, 2017 – academic.oup.com
AbstractObjective. To develop an open-source information extraction system called Eligibility Criteria Information Extraction (EliIE) for parsing and formalizi.

Semantic/Content Analysis/Natural Language Processing
P Nulty – Encyclopedia of Big Data, 2017 – Springer
… On the other hand, some applications, such as the IBM Watson question answering system (Ferruci et al … word by the company it keeps.” The co-occurrence vectors of words have been shown to be useful for noun phrase disambiguation, semantic relation extraction, and analogy …

Design of an extensive information representation scheme for clinical narratives
L Deléger, L Campillos… – Journal of …, 2017 – jbiomedsem.biomedcentral.com
Skip to content Advertisement …

Named Entity Recognition: Applications, Approaches and Challenges
A Goyal, M Kumar, V Gupta – pdfs.semanticscholar.org
… A number of extraction systems ie Protein-Protein Interaction (PPI) Information Extraction task [16], event extraction, relation extraction systems [17 ,18] start with recognizing named entities. 2.2 Question-Answering Systems …

Neural Networks for Fine-grained Entity Type Classification
S Shimaoka – 2017 – cl.ecei.tohoku.ac.jp
… IBM Watson[Fer+10] is the championing example of question answering system. While above examples of NLP tasks are in themselves acknowledged to be useful … Es- pecially in factoid question answering system in which the form of the answer is re …

High Level Mammographic Information Fusion For Real World Ontology Population.
YB Salem, R Idodi, KS Ettabaa, K Hamrouni… – Journal of Digital …, 2017 – dline.info
… The methodology is based on Instance Extraction by CRF method, then Relation Extraction applying Lexical and syntactic Patterns. For medical studies, Amato and al … ‘Effect of using pragmatics information on question answering system of analects of confucius’ …

Supervised algorithms for complex relation extraction
G Khirbat – 2017 – minerva-access.unimelb.edu.au
Page 1. THE UNIVERSITY OF MELBOURNE Supervised Algorithms for Complex Relation Extraction Gitansh Khirbat … I, Gitansh Khirbat, declare that this thesis titled, ‘Supervised Algorithms for Complex Relation Extraction’ and the work presented in it are my own. I confirm that …

A Complete Bibliography of ACM Transactions on Asian Language Information Processing
NHF Beebe – 2017 – 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 …

Extracting Descriptions of Location Relations from Implicit Textual Networks
A Spitz, G Feher, M Gertz – Proceedings of the 11th …, 2017 – dbs.ifi.uni-heidelberg.de
… Useful tools in this regard are searching and indexing approaches, external knowledge bases, or question answering systems [12] … 5 LOCATION RELATION EXTRACTION We now apply the ndings of the previous section to the extraction and description of novel relations …

Using Extended Tree Kernel to Recognize Metalanguage in Text
BA Galitsky – Uncertainty Modeling, 2017 – Springer
… Tree kernels have found applications in a number of NLP tasks, including syntactic parsing re-ranking, relation extraction, named entity recognition [4] and Semantic Role Labeling [23, 32], relation extraction, pronoun resolution [18], question classification and machine …

Joint Extraction of Entities and Relations Using Reinforcement Learning and Deep Learning
Y Feng, H Zhang, W Hao, G Chen – Computational intelligence and …, 2017 – hindawi.com
… The action taken at realizes preliminary relation extraction … Now lots of LSTM variants have been proposed and applied to natural language processing tasks, such as sentiment analysis, relation classification, and question answering system …

Learning Algorithms for Broad-Coverage Semantic Parsing
S Swayamdipta – 2017 – cs.cmu.edu
… Copyright © 2017 Swabha Swayamdipta Page 2. Abstract Broad-coverage semantics holds great potential for improving a variety of downstream applications, such as question-answering, relation extraction, and paraphrasing …

Named Entity Recognition and Classification
A Ekbal – iitp.ac.in
… Multilingual, Code-mixed environment) ? Information Extraction-NER, Coreference Resolution, Relation Extraction etc. ? AI and Machine Learning for Health Care … Applications • Question-Answering Systems – NEs are important to retrieve the answers of particular questions …

Globally normalized reader
J Raiman, J Miller – arXiv preprint arXiv:1709.02828, 2017 – arxiv.org
… 3. Preserving narrative structure and explicitly incorporating type and question information into synthetic data generation is key to gener- ating examples that actually improve the per- formance of question answering systems …

I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base
X Wei, H Huang, L Nie, H Zhang… – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… our model. Meanwhile, we have successfully applied our proposed model to factoid question answering systems for answer candidate selection, which further demonstrates the applicability of the TRANSFER model. Index Terms …

Automatic Generation of Benchmarks for Entity Recognition and Linking
ACN Ngomo, M Röder, D Moussallem… – arXiv preprint arXiv …, 2017 – arxiv.org
… cam- paigns such as BioASQ [2] have led to an improvement of the F-measure achieved by bio-medical question answering systems by more … verbalizing RDF graphs and show how verbalized RDF can be used to create NER, EL and even relation extraction (RE) benchmarks …

Information extraction with neural networks
JY Lee – 2017 – dspace.mit.edu
… Finally, we present an ANN architecture for re- lation extraction, which ranked first in the SemEval-2017 task 10 (ScienceIE) for relation extraction in scientific articles (subtask C). Thesis Supervisor … 67 6 Relation extraction 69 6.1 Introduction and related work …

Chatbots for troubleshooting: A survey
C Thorne – Language and Linguistics Compass, 2017 – Wiley Online Library
… Semantic processing (word sense disambiguation, named entity recognition, anaphora resolution, relation extraction, etc.) to further analyze user input and … for the troubleshooting domain is Watson for IT (Ferrucci et al., 2010), a question-answering system for troubleshooting …

Knowledge graph embedding: A survey of approaches and applications
Q Wang, Z Mao, B Wang, L Guo – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… structure of the KG. Those entity and relation embeddings can further be used to benefit all kinds of tasks, such as KG completion [14], [15], relation extraction [20], [21], entity classification [13], [22], and entity resolution [13], [18] …

Building thesaurus-based knowledge graph based on schema layer
B Qiao, K Fang, Y Chen, X Zhu – Cluster Computing, 2017 – Springer
… In the area of academic and industry, the remarkable achievements in the construction of knowledge graph set up a foundation for breakthrough of intelligent question answering system technology … Including entity attribute extraction, entity relation extraction and so on. Notes …

A Framework using NLP to automatically convert User-Stories into Use Cases in Software Projects
A Azzazi – IJCSNS, 2017 – pdfs.semanticscholar.org
… recognition, Morphological segmentation, Named entity recognition, Natural language generation, Natural language understanding, automatic language parsing, Part of speech tagging, Question answering systems, automatic test relationship extraction, Speech segmentation …

Generation of multilingual ontology lexica with M-ATOLL: a corpus-based approach for the induction of ontology lexica
S Walter – 2017 – pub.uni-bielefeld.de
… Dr. Philipp Cimiano Prof. Dr. Paul Buitelaar Dr. Christina Unger Page 2. Page 3. Abstract There is an increasing interest in providing common web users with access to structured knowledge bases such as DBpedia, for example by means of question answering systems …

Supervised approach to recognise Polish temporal expressions and rule-based interpretation of timexes †
J Koco?, M Marci?czuk – Natural Language Engineering, 2017 – cambridge.org
… Often used in automatic question answering systems (Pustejovsky et al. 2005b) … 2005a). The aim of this research was to improve accessing of information from 1 http://www.timeml.org/site/ terqas/index.html 2 Time and Event Recognition for Question Answering Systems …

Azad Abad
A Moschitti – 2017 – pdfs.semanticscholar.org
… use for training the machine learning models in variety of natural language processing tasks namely: relation extraction, question answering and … The first part of the thesis deals with design a benchmark for evaluation Distant Supervision (DS) for relation extraction task …

Excavating the mother lode of human-generated text: A systematic review of research that uses the wikipedia corpus
M Mehdi, C Okoli, M Mesgari, FÅ Nielsen… – Information Processing …, 2017 – Elsevier
Skip to main content …

Comparative opinion mining: a review
KD Varathan, A Giachanou… – Journal of the Association …, 2017 – Wiley Online Library
… There is also research on comparative sentiment identification through the use of logics (Ballard, 1988; Rayner & Banks, 1990; Von Stechow, 1984). Work reported in Friedman (1989) used comparatives in question answering systems …

A framework for an adaptable and personalised e-learning system based on free web resources
E Aeiad – 2017 – usir.salford.ac.uk
… makes and distributes electronic, computer and building products) …. 83 Figure 4-18 Action verb, topic name and their relationship extraction algorithm ….. 85 Figure 4-19 Module specifications for the fundamental programming module …

Knowledge-rich techniques for anaphora resolution
JA Alvarado Gutiérrez – tesis.ipn.mx
Page 1. INSTITUTO POLITÉCNICO NACIONAL Centro de Investigación en Computación Laboratorio de Lenguaje Natural y Procesamiento de Texto “Knowledge-rich Techniques for Anaphora Resolution” TESIS Que para obtener …

Framing qa as building and ranking intersentence answer justifications
P Jansen, R Sharp, M Surdeanu, P Clark – Computational Linguistics, 2017 – MIT Press
… Finally, we round out our discussion of question answering systems with a comparison to the famous Watson QA system, which achieved performance on par with the human champions in the Jeopardy! game (Ferrucci 2012) …

Propositional Knowledge: Acquisition and Application to Syntactic and Semantic Parsing
B Cabaleiro Barciela – 2017 – e-spacio.uned.es
… apposition. Regarding semantic parsing, we build a lexicon that permits to map natural language utterances in the form of propositions with linked data relations, and show how to use this resource in a question answering system …

Towards the Implementation of an Intelligent Software Agent for the Elderly
AHF Dinevari – 2017 – era.library.ualberta.ca
… interrogative according to the context of the conversation. Having the appropriate response is crucial. • Question Answering: System should be able to answer personal and general questions, which may need a reasoning on different knowledge bases …

Big search in cyberspace
B Fang, Y Jia, X Li, A Li, X Wu – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
Page 1. Big Search in Cyberspace Binxing Fang, Yan Jia, Xiaoyong Li, Member, IEEE, Aiping Li, and Xindong Wu, Fellow, IEEE Abstract—With the rapid development of big data analytics, mobile computing, Internet of Things …

Database and Expert Systems Applications: 28th International Conference, Dexa 2017, Lyon, France, August 28-31, 2017, Proceedings
D Benslimane, E Damiani, WI Grosky, A Hameurlain… – 2017 – books.google.com
Page 1. Djamal Benslimane · Ernesto Damiani William I. Grosky· Abdelkader Hameurlain Amit Sheth · Roland R. Wagner (Eds.) Database and Expert Systems Applications 28th International Conference, DEXA 2017 Lyon, France, August 28–31, 2017 Proceedings, Part I 123 …

Expanding Common Sense Knowledge Database using Data Mining on Reference Corpus
M Krawczyk – 2017 – eprints.lib.hokudai.ac.jp
… record analysis, counter-terrorism analysis or financial analysis. Other applications of Cyc include alternative question answering system [27], word sense disambiguation [28], semantic web [29] [30], and integration of heterogeneous data sources [24]. 2.3.2 YAGO …

Improving relevance in a content pipeline via syntactic generalization
B Galitsky – Engineering Applications of Artificial Intelligence, 2017 – Elsevier
Skip to main content …

Hyperlex: A large-scale evaluation of graded lexical entailment
I Vuli?, D Gerz, D Kiela, F Hill, A Korhonen – Computational Linguistics, 2017 – MIT Press
… For instance, in order to answer a question such as “Which mammal has a strong bite?”, a question-answering system has to know that a jaguar or a grizzly bear are types of mammals, whereas a crocodile or a piranha are not …

Exploiting Linked Data and Knowledge Graphs in Large Organisations
JZ Pan, G Vetere, JM Gomez-Perez, H Wu – 2017 – Springer
… In 2007, a group of 12 researchers at IBM began working on a top secret moonshot project which we code-named “BlueJ”—building a natural language question answering system capable of the speed and accuracy necessary to achieve expert human-level performance on the …

Phonological grammar and frequency
M Sloos – rug.nl
Page 1. University of Groningen Phonological grammar and frequency Sloos, Marjoleine IMPORTANT NOTE: You are advised to consult the publisher’s version (publisher’s PDF) if you wish to cite from it. Please check the document version below …

Methods and Techniques for Clinical Text Modeling and Analytics
Y Ling – 2017 – search.proquest.com
… 122.3 Clinical Relation Extraction … 132.3.2 Symptom/Medication Relation Extraction . . . . . 132.4 Word Embedding Models …

Data-driven techniques in disaster information management
T Li, N Xie, C Zeng, W Zhou, L Zheng, Y Jiang… – ACM Computing …, 2017 – dl.acm.org
Page 1. 1 Data-Driven Techniques in Disaster Information Management TAO LI, School of Computing and Information Sciences, Florida International University and School of Computer Science, Nanjing University of Posts and …

Sequential short-text classification with neural networks
F Dernoncourt – 2017 – dspace.mit.edu
Page 1. Sequential Short-Text Classification MAOT ITUTEl OF TECHNQLOGY with Neural Networks JUN 23 201 by Franck Dernoncourt ARCHiVES Submitted to the Department of Electrical Engineering and Computer Science …

Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age
KD Ashley – 2017 – books.google.com
Page 1. ARTIFICIAL |NTELLIGENCE AND LEGAL ANALYTICS New Tools for Law Practice in the Digital Age Kevin D. Ashley CAMERIDGE Page 2. ARTIFICIAL INTELLIGENCE AND LEGAL ANALYTICS New Tools for Law Practice …

Cognitive Computing: Where Big Data Is Driving Us
AP Appel, H Candello, FL Gandour – Handbook of Big Data Technologies, 2017 – Springer
In this chapter we will discuss the concepts and challenges to design Cognitive Systems. Cognitive Computing is the use of computational learning systems to augment cognitive capabilities in solving r.

A proposal for an integrated framewoek capable of aggregating IoT data with diverse data types.
MLL Faria – teses.usp.br
… 54 Figure 23 – Question answering system design … POS Tags Part-of-speech tags QALD-4 Question Answering over Linked Data – version 4 QAS Question Answering System RBM Restricted Boltzmann Machines RDF Resource Description Framework …

Semantic Search for Novel Information
M Färber – 2017 – books.google.com
Page 1. SEMANTIC SEARCH FOR NOVEL INFORMATION Page 2. Studies on the Semantic Web www.semantic-web-studies.net Semantic Web has grown into a mature field of research. Its methods find innovative applications on and off the World WideWeb …

From Event to Story Understanding
N Mostafazadeh – 2017 – search.proquest.com
… a question answering system … The results of TempEval-3 [UzZaman et al., 2012] show that the. performance of extracting TimeML events and time expressions is good (80% F-score),. however, the state-of-the-art performance on the temporal relation extraction is about …

A Frame-Based Approach for Integrating Heterogeneous Knowledge Sources
JR Gonzalez – vbn.aau.dk
Page 1. Aalborg Universitet A Frame-Based Approach for Integrating Heterogeneous Knowledge Sources Gonzalez, Jacobo Rouces DOI (link to publication from Publisher): 10.5278/vbn.phd.engsci.00102 Publication date: 2016 …

On link predictions in complex networks with an application to ontologies and semantics
B Entrup – 2017 – geb.uni-giessen.de
… 60 3.6 Conclusion . . . . . 65 4 Page 5. 4 Relation Extraction and Prediction 68 4.1 Extending Ontologies: Relation Extraction from Text . . . . . 68 4.2 Predicting Missing Links . . . . . 73 …

Contextual representation of documents, entities, and faces of people using a news corpus
MA Kader – 2017 – search.proquest.com
Contextual representation of documents, entities, and faces of people using a news corpus. Abstract. A massive amount of unstructured data, in this information age, is composed of document collections. Examples include news …

A Framework for Developing Knowledge Bases of Scientific Artefacts in the Biomedical Domain
H Hassanzadeh – espace.library.uq.edu.au
Page 1. A Framework for Developing Knowledge Bases of Scientific Artefacts in the Biomedical Domain Hamed Hassanzadeh BSc Eng, MSc Eng A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2017 …

(Visited 51 times, 1 visits today)