Tuple Extraction


Notes:

  • attribute triples extraction (ATE)
  • open relation triples extraction (ORTE)

Resources:

  • heartofgold.dfki.de .. a middleware architecture for the integration of deep and shallow natural language processing components

Wikipedia:

See also:

Ellogon | MaltParser Dependency ParserNatural Language Processing Toolkits | OpenEphyra (Ephyra Question Answering System)


REEL: A relation extraction learning framework P Barrio, G Simões, H Galhardas… – Digital Libraries (JCDL) …, 2014 – ieeexplore.ieee.org … text-centric tasks, such as text processing (eg, UIMA [3]), machine learning (eg, MALLET [4]), natural language processing (eg … The Learning and Extraction components include the Re- lation Extraction Training, Tuple Extraction, and Relation Extraction Evaluation components. … Cited by 1 Related articles All 13 versions

Automatic theory generation from analyst text files using coherence networks SC Shaffer – SPIE Sensing Technology+ …, 2014 – proceedings.spiedigitallibrary.org … involving what is sometimes referred to as comprehension and analysis in Bloom’s taxonomy [1]. It is feasible to generate analysis that reports intelligence at these higher levels, using a combination of natural language processing, coherence theory … 2. TRIPLE EXTRACTION … Related articles All 2 versions

Semantic question answering system over linked data using relational patterns S Hakimov, H Tunc, M Akimaliev, E Dogdu – Proceedings of the Joint …, 2013 – dl.acm.org … 6. CONCLUSION We presented a tool for translating natural language questions to SPARQL queries. Our … improvement. As for the future work, triple extraction method should be improved to handle a broad range of questions. … Cited by 10 Related articles All 5 versions

TPE Based Tuple Extraction Method for Question and Answering System J Kim, K Kim – Information Science and Applications (ICISA), …, 2014 – ieeexplore.ieee.org … With the evolution of natural language processing (NLP) based interface agents, such as Apple’s Siri [1], Wolfram alpha [2], automated Q&A system … We firstly describe an efficient tuple extraction method using TPE [6]. We also illustrate an effective Q&A system based on those … Related articles All 2 versions

Dependency-based Extraction of Entity-relationship Triples from Polish Open-domain Texts A Wróblewska, M Sydow – 2012 – users.pja.edu.pl … Keywords: knowledge graphs, information extraction, natural language processing, de- pendency parser, graphical entity summarisation 1 Introduction … In this paper we study a subtask of ODIE – the automatic entity-relationship (ER) triple extraction from Polish texts. … Cited by 1 Related articles All 3 versions

FactRunner: A New System for NLP-Based Information Extraction from Wikipedia R Sutoyo, C Quix, F Kastrati – Web Information Systems and Technologies, 2014 – Springer … Section 3 describes the preprocessing step of our system, which actually does most of the work for the triple extraction, as it simplifies and normalizes the natural language text input. Because of this simplification, the triple extraction method (Sect. … Related articles All 3 versions

Towards a Structured Representation of Generic Concepts and Relations in Large Text Corpora. A Bhattarai, V Rus – RANLP, 2013 – aclweb.org Page 1. Proceedings of Recent Advances in Natural Language Processing, pages 65–73, Hissar, Bulgaria, 7-13 September 2013. Towards … With the patterns generated in step 2, we pro- pose a method of relation tuple extraction. • We … Related articles All 4 versions

Automated extraction of precise protein expression patterns in lymphoma by text mining abstracts of immunohistochemical studies JF Chang, M Popescu, GL Arthur – Journal of pathology …, 2013 – cytojournal.com … The techniques of natural language processing (NLP) for the identification and extraction of information have been widely applied in the biomedical domain and numerous articles have been published discussing … Figure 1: Workflow of the protein expression tuple extraction task … Related articles All 10 versions

Non-taxonomic role extraction for biomedical concepts A Petrova, K Maria – ESSLLI Student Session, 2013 – loriweb.org … While triple extraction implies formalizing the input text only partially (ie the chunks of text that are not covered by extracted triples are left out)[6][7], the … 2007 [4] translates natural language definitions into description logic formulas in order to enrich inexpressive ontologies. … Cited by 2 Related articles All 2 versions

Semantic Information Extraction on Domain Specific Data Sheets K Barkschat – The Semantic Web: Trends and Challenges, 2014 – Springer … It lacks on relation types, which are sufficient for representing natural language (NL) structures. … In 2007 Rusu et al. [9] published two different pseudo-algorithms for semantic triple extraction from typed dependency graphs and constituency based parse trees. … Related articles All 3 versions

Feature-based Sentiment Analysis Approach for Product Reviews H Wang, L Liu, W Song, J Lu – Journal of Software, 2014 – ojs.academypublisher.com … Our sentiment six-tuple extraction algorithm has two inputs, each of which is described in the paragraphs below. The first input is a list of sentiment words. … In: Indurkhya N and Damerau FJ (ed) Handbook of Natural Language Processing, 2nd edn., pp 627–667. … Cited by 1 Related articles All 4 versions

Towards automatic functional test execution P Pedemonte, J Mahmud, T Lau – Proceedings of the 2012 ACM …, 2012 – dl.acm.org … The key problem with under- standing natural language is that it is imprecise, so the mean- ing of a hand-written instruction might not be unambiguously determined. … From now on, we will refer to the conver- sion algorithm as tuple extraction. Fig. … Cited by 5 Related articles All 7 versions

Research and Implement of Web Social Network Relation Visualization Based on Topic MO Qian, Z Chuan-xiang – Computer Simulation, 2012 – en.cnki.com.cn … of Technology,Heilongjiang,Harbin 150001,China);Automated Entity Relation Tuple Extraction Using Web Mining[J];Acta Electronica Sinica;2007-11. 5, Liu Jianmiao~(*** Wang Haochang~(*** Zhao Tiejun~*(* MOE-MS Key Laboratory of Natural Language Processing and … Related articles

A Pipeline for Supervised Formal Definition Generation A Petrova – Young Scientists’ International Workshop on Trends in …, 2014 – ceur-ws.org … Formal definition generation can be illustrated by an example: a natural language sentence with a classic definitional structure A is a type of B … 2.2 Triple Extraction After a text string is annotated with biomedical concepts, the next step is to group these concepts into relational … Related articles All 2 versions

Toward Ontology-based Knowledge Extraction from Web Data with the Lexicalization of Ontology for Korean QA System Y Hahm, HG Yoon, SY Park, SB Park, J Cha, D Hwang… – 2011 – semanticweb.kaist.ac.kr … 4 Triple Extraction from Unstructured Data 4.1 Framework of Knowledge Extraction from Unstructured Data … Unlike semi-structured and unstructured data, detecting knowledge written in natural language requires lexical patterns which is more ambiguity and diverse. … Related articles

Topic Sentiment Analysis in Chinese News. O Chunping, Z Wen, Y Ying, L Zhiming… – International Journal of …, 2014 – sersc.org … It is a cross-domain scientific research field, which includes probabilistic theory, data statistics analysis, computer linguistics, natural language processing, machine learning, information retrieval, ontology and many other related fields. … Emotional Dependency Tuple Extraction … Related articles All 3 versions

Concept Maps Construction Based on Exhaustive Rules and Vector Space Intersection JC Reis, ASC Gaia, R Viegas Jr – IJCSNS, 2014 – paper.ijcsns.org … related to automatic or semi-automatic generation of concept maps out of unstructured texts, while dealing with Natural Language Processing issues and … a web-based module has been developed to comprise both a user graphical interface and a tuple-extraction module which … Related articles All 3 versions

An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology Y Xu, C Zhang, Y Ji – International Journal of Distributed Sensor …, 2014 – hindawi.com … then extracts knowledge tuples by pattern matching. Reference [12] proposed that the existing tuple extraction methods are generally based on shallow natural language process (NLP). The shallow NLP which is based on regular … Related articles All 2 versions

Concept relation extraction using Naïve Bayes classifier for ontology-based question answering systems G Zayaraz – Journal of King Saud University-Computer and …, 2014 – Elsevier … of measuring semantic similarity between related concepts has been well-explored by many researchers (Said Hamani et al., 2014), and its effectiveness has been demonstrated in many natural language applications (Sarwar … 3.1. Hand-coded rules for concept triple extraction. … Related articles All 2 versions

Based on Semi-supervised Learning Chinese Relation Type Discovery X YANG, J CHEN, J ZHANG – 2012 – en.cnki.com.cn … of Technology,Heilongjiang,Harbin 150001,China);Automated Entity Relation Tuple Extraction Using Web Mining[J];Acta Electronica Sinica;2007-11. 3, Liu Jianmiao~(*** Wang Haochang~(*** Zhao Tiejun~*(* MOE-MS Key Laboratory of Natural Language Processing and … Related articles

Development and evaluation of a triple parser to enable visual searching with a biomedical search engine M Kwak, G Leroy, M Kim – International Journal of Biomedical …, 2012 – Inderscience … His research interests are biomedical informatics, data mining, natural language processing, artificial intelligence, game development and simulation. … Triple extraction is accomplished through rule-based methods or statistical methods. … Cited by 2 Related articles All 2 versions

Text2MARK: A text mining tool in the aid of knowledge representation CP da Silva, JM de Morais… – … Systems Design and …, 2013 – ieeexplore.ieee.org … observing which lexicon elements compose the text, we could then mount the predicates and conduct tuple extraction separately, storing … expectation of improved flexibility in obtaining more comprehensive representations, since we are dealing with natural language and are … Related articles

DEBORA: dependency-based method for extracting entity-relationship triples from open-domain texts in polish A Wróblewska, M Sydow – Foundations of Intelligent Systems, 2012 – Springer … The dependency-based triple extraction technique has been implemented and inte- grated with ExPLORER – a currently developed … In: Proceedings of Human Language Technology Confer- ence and Conference on Empirical Methods in Natural Language Processing (HLT … Related articles All 4 versions

Creating Semantic Data from Relational Database CH Jeong, SP Choi, SH Shin, S Lee… – Social Computing ( …, 2013 – ieeexplore.ieee.org … instances. In this study, entities are canonicalized and URIs are allocated through the authority data by means of OntoURI. And triple extraction is performed using Natural Language Processing and Text Mining technologies. For … Cited by 2 Related articles All 4 versions

More Informative Open Information Extraction via Simple Inference H Bast, E Haussmann – Advances in Information Retrieval, 2014 – Springer … This is a problem for seman- tic search applications utilizing these triples, which is hard to fix once the triple extraction is completed. … 1 Introduction Information extraction (IE) is the task of automatically extracting relational tuples, typ- ically triples, from natural language text. … Cited by 1 Related articles All 3 versions

MeDetect: A LOD-based System for Collective Entity Annotation in Biomedicine L Tian, W Zhang, A Bikakis, H Wang… – Web Intelligence (WI …, 2013 – ieeexplore.ieee.org … For both unstructured natural language content and semi-structured Web pages or references, it is essential to capture metadata related to the content … In addition, with a URI assigned to each entity, MeDetect is ready for further applications, such as biomedical triple extraction. … Related articles All 7 versions

Markov Chains for Robust Graph-Based Commonsense Information Extraction. N Tandon, D Rajagopal, G de Melo – COLING (Demos), 2012 – anthology.aclweb.org … For tuple extraction, our primary source of extraction (RW1) are the Google 5-grams data. 442 … In Proceedings of 5th International Joint Conference on Natural Language Processing, pages 686–694, Chiang Mai, Thailand. Asian Federation of Natural Language Processing. … Cited by 1 Related articles All 11 versions

LIMSI’s experiments in domain adaptation for IWSLT11. T Lavergne, A Allauzen, HS Le, F Yvon – IWSLT, 2011 – quaero.org … Hence, rewriting rules are built using POS rather than surface word forms. Refer to [11] for details on tuple extraction and reordering rules. 3. Baselines … Page 6. of the 2010 Conference on Empirical Meth- ods in Natural Language Processing, Cambridge, MA, 2010, pp. 451–459. … Cited by 7 Related articles All 6 versions

Criminal network recognition mechanism based on entity relationship LJ Zhou, HF Lin, WH Luo – Jisuanji Yingyong Yanjiu, 2011 – en.cnki.com.cn … and Technology,Harbin Institute of Technology,Heilongjiang,Harbin 150001,China);Automated Entity Relation Tuple Extraction Using Web … 6, Liu Jianmiao~(*** Wang Haochang~(*** Zhao Tiejun~*(* MOE-MS Key Laboratory of Natural Language Processing and Speech … Cited by 3 Related articles All 2 versions

Qeéq A Shanna – 2013 – iimidr.ac.in … Text sentiment classification requires deep analysis and ‘understanding of textual features and natural language semantics … Product Reviews (1) 104 Table 7.2: Studies Related to eWOM and Online Product Reviews (2) 105 Table 7.3: Feature-Opinion Tuple Extraction Rules 108 …

Automatic Subject-Object-Verb relation extraction M Temizer, B Diri – Innovations in Intelligent Systems and …, 2012 – ieeexplore.ieee.org … Also, Natural Language Processing is another key concept as a significant contributor to AI in the field of natural languages. … A, pp. 218-222, 2007. [2] D. Choi and K. Choi, “Automatic relation triple extraction by dependency parse tree traversing”, EKAW 2008. … Related articles

Extraction and Grounding of Protein Mutations via Semantic Integration of Text and Sequence Information C Baker, R Kanagasabai – Advanced Information Networking …, 2011 – ieeexplore.ieee.org … Through experimentation with machine learning, natural language processing, ontologies and other AI technologies, automated mutation extraction is becoming … Our approach considers Protein-Mutation tuple extraction as a key step in the workflow, and the grounding algorithm … Related articles All 4 versions

Improving open information extraction for informal web documents with ripple-down rules MH Kim, P Compton – … Management and Acquisition for Intelligent Systems, 2012 – Springer … The World Wide Web contains a massive amount of information in unstructured natural language and obtaining valuable information from … For example, the tuple extraction (Another example of a statutory merger , is , software maker Adobe Systems acquisition of Macromedia) is … Cited by 4 Related articles All 4 versions

Research on Multi-information Fusion Chinese Relation Extraction Technology [J] R LIN, J CHEN, X YANG, H XU – Journal of Xiamen University ( …, 2011 – en.cnki.com.cn … and Technology,Harbin Institute of Technology,Heilongjiang,Harbin 150001,China);Automated Entity Relation Tuple Extraction Using Web … 4, Liu Jianmiao~(*** Wang Haochang~(*** Zhao Tiejun~*(* MOE-MS Key Laboratory of Natural Language Processing and Speech … Cited by 1 Related articles

Tuple refinement method based on relationship keyword extension X Yang, J Yang, C Chen – Web Information Systems and Mining, 2012 – Springer … Machine learning methods need to apply a lot of deep natural language processing (NLP) technologies which inevitably produce a lot of noise. SVM methods … 151–160 (2010) 8. Li, WG, Liu, T., Li, S.: Automated Entity Relation Tuple Extraction Using Web Mining. … Related articles All 5 versions

Chinese Textual Entailment recognition model based on lexical and semantic matching R Su, Y Zheng – Natural Language Processing andKnowledge …, 2011 – ieeexplore.ieee.org … H (one sentence), the goal is to detect if H can be inferred from T. Textual entailment captures a broad range of semantic oriented inferences needed for many Natural Language Processing (NLP … Future work will focus on improving the performance of triple extraction module. … Related articles

Predose: A semantic web platform for drug abuse epidemiology using social media D Cameron, GA Smith, R Daniulaityte, AP Sheth… – Journal of biomedical …, 2013 – Elsevier … Here, we report on various platform enhancements, including an updated DAO, new components for relationship and triple extraction, and tools for content analysis, trend detection and emerging patterns exploration, which enhance the capabilities of the PREDOSE platform. … Cited by 3 Related articles All 14 versions

From n-gram-based to CRF-based translation models T Lavergne, JM Crego, A Allauzen, F Yvon – Proceedings of the Sixth …, 2011 – dl.acm.org … Figure 1: The tuple extraction process The original (top) and reordered (bottom) French sentence aligned with its translation. … All the training corpora were aligned using MGIZA++ with standard parameters8, and pro- cessed in the standard tuple extraction pipeline. … Cited by 11 Related articles All 13 versions

A comparative study of Witten Bell and Kneser-Ney smoothing methods for statistical machine translation A Hasan, S Islam, MA Rahman – Journal of Information Technology, 2012 – juniv.edu … We used this two technique for analysis the performance of our experiment. BLEU (Bilingual Evaluation Understudy) is an algorithm for evaluating the quality of text which has been machine- translated from one natural language to another. … Tuple extraction … Cited by 2 Related articles All 2 versions

Research on Semantic Database Freebase L Jun – New Technology of Library and Information Service, 2011 – en.cnki.com.cn … of Technology,Heilongjiang,Harbin 150001,China);Automated Entity Relation Tuple Extraction Using Web Mining[J];Acta Electronica Sinica;2007-11. 4, Liu Jianmiao~(*** Wang Haochang~(*** Zhao Tiejun~*(* MOE-MS Key Laboratory of Natural Language Processing and … Related articles

From n-gram-based to CRF-based Translation Models TLJM Crego, AAF Yvon – Sixth Workshop on Statistical …, 2011 – anthology.aclweb.org … f: demanda de nouveau la femme voilée e: the veiled dame said again f: la voilée femme demanda de nouveau Figure 1: The tuple extraction process The original (top) and reordered (bottom) French sentence aligned with its translation. … Related articles All 4 versions

A new entity relation tuples filtration method for weakly supervised relation extraction Q Li, J Yang, J Wang, Y Teng – Systems and Informatics (ICSAI) …, 2012 – ieeexplore.ieee.org … In Proceedings of Conference on Applied Natural Language Processing ANLP-NAACL, 2000. [5] Jeonghee Yi and Neel Sundaresan. … [10] Li WeiGang,Liu Ting,Li Sheng.Automated Entity Relation Tuple Extraction Using Web Mining. … Related articles

Relation guided bootstrapping of semantic lexicons T McIntosh, L Yencken, JR Curran… – Proceedings of the 49th …, 2011 – dl.acm.org … For tuple extraction, a relation R1,2 is constrained to only consider candidates where either t1 or t2 has previously been extracted into C1 … In Proceed- ings of the 5th Workshop on NLP and XML: Multi- Dimensional Markup in Natural Language Process- ing, pages 19–26, Trento … Cited by 4 Related articles All 12 versions

Semantic relation extraction for automatically building domain ontology using a link grammar J Choi, C Choi, D Choi, J Koh, P Kim – … of the 2011 ACM Symposium on …, 2011 – dl.acm.org … Categories and Subject Descriptors I.2.7 [Natural Language Processing]: Language parsing and understanding; I.2.6 [Learning]: Knowledge acquisition … company The IBM is a Sp [ IBM, is ] Opt [ is, company] Figure 4. Triple extraction from SO pattern … Cited by 2 Related articles

Semi-Automatic Construction of Skeleton Concept Maps from Case Judgement Documents B Sijtsma, A Boer – 2014 – dare.uva.nl … Using natural language process- ing tools, they targeted semantic features, adjectives, prepositions and predicates to find the related concept and verb phrase connecting the two concepts. After the triple extraction, four filters were applied to exclude certain propositions: a … Related articles All 2 versions

Dependency tree based Chinese relation extraction over web data S Zheng, J Yang, X Lin, JZ Gu – Knowledge, Information and …, 2012 – ieeexplore.ieee.org … In part C of Section V, a further explanation about pattern match and new triple extraction is given . On the whole, our approach is bootstrapping. … 2007. Automated Entity Relation Tuple Extraction Using WebMining. Acta Electronica Sinica, 35(11): 2111–2116, 2007. … Cited by 1 Related articles All 3 versions

An ontology-based architecture for natural language access to relational databases L Muchemi, F Popowich – … Access in Human-Computer Interaction. Design …, 2013 – Springer … 1 Introduction The problem of using natural language (NL) for database access is still a challenging problem. … The main handicap has been the need for training data for each set of database and NL queries and low performance in triple extraction. … Related articles All 6 versions

CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data Y Zeng, D Wang, T Zhang, H Wang, H Hao, B Xu – Semantic Technology, 2014 – Springer … CASIA-EL is 88.5 % based on the Chinese microblog entity linking contest organized by the 2nd Conference on Natural Language Processing and … For triple extraction from unstructured texts, we focus on three types of declarative knowledge, namely, those with Is-A, Part-Whole … Cited by 1 Related articles All 3 versions

Entity Recognition in Information Extraction N Hanafiah, C Quix – Intelligent Information and Database Systems, 2014 – Springer … For example, AIDA is a natural language processing system using YAGO as an entity catalog [12]. … It uses a pattern-based approach for triple extraction (similar to ReVerb [7]). In the integrated system, the recognizer exploits the information that is produced from POS-tagging of … Related articles All 2 versions

LIMSI@ WMT’12 HS Le, T Lavergne, A Allauzen, M Apidianaki… – Proceedings of the …, 2012 – dl.acm.org … source sentences are represented in the form of word lattices containing the most promising reordering hypotheses, so as to reproduce the word order modifications introduced during the tuple extraction process … This problem is aggravated in natural language processing due to … Cited by 16 Related articles All 16 versions

LIMSI@ WMT13 A Allauzen, N Pécheux, QK Do… – Proceedings of the …, 2013 – anthology.aclweb.org … reordering hypotheses, so as to repro- duce the word order modifications introduced dur- ing the tuple extraction process … In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages … Cited by 11 Related articles All 10 versions

Formal Ontology Learning on Factual IS-A Corpus in English using Description Logics S Dasgupta, A Padia, K Shah, P Majumder – arXiv preprint arXiv: …, 2013 – arxiv.org … tasks: Task 1: To choose a formal grammar G that has: (i) maximum generative capacity of the underlying natural language LNL (English in … Triple extraction is a sentence simplifi- cation process that converts complex and compound sentences into a set of simple and/or simpler … Related articles All 2 versions

The ACL anthology searchbench U Schäfer, B Kiefer, C Spurk, J Steffen… – Proceedings of the 49th …, 2011 – dl.acm.org … 3 Semantic Tuple Extraction with DMRS … Ulrich Callmeier. 2000. PET – A platform for experi- mentation with efficient HPSG processing techniques. Natural Language Engineering, 6(1):99–108. Ann Copestake, Dan Flickinger, Ivan A. Sag, and Carl Pollard. 2005. … Cited by 18 Related articles All 9 versions

Joint WMT 2013 submission of the QUAERO project S Peitz, S Mansour, M Huck, M Freitag… – Proceedings of the …, 2013 – anthology.aclweb.org … in a preprocessing step, making use of reordering rules built from the word reorderings introduced in the tuple extraction process. … In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Process- ing, pages 847–855, Honolulu, Hawaii, October. … Cited by 5 Related articles All 14 versions

The ACL Anthology Searchbench USBKC Spurk, JSR Wang – Proceedings of the ACL-HLT, 2011 – coli.uni-saarland.de … 3 Semantic Tuple Extraction with DMRS … Ulrich Callmeier. 2000. PET – A platform for experi- mentation with efficient HPSG processing techniques. Natural Language Engineering, 6(1):99–108. Ann Copestake, Dan Flickinger, Ivan A. Sag, and Carl Pollard. 2005. … Cited by 1 Related articles

Unsupervised wrapper induction using linked data AL Gentile, Z Zhang, I Augenstein… – Proceedings of the …, 2013 – dl.acm.org … For this reason, many natural language based approaches that automatically translate such information needs into struc- tured queries [13] can fail and incorrect … to the genre of the movie soundtrack than the genre of the movie, which is a result of the triple extraction pro- cess … Cited by 10 Related articles All 3 versions

Automatic Extraction of Property Norm-Like Data From Large Text Corpora C Kelly, B Devereux, A Korhonen – Cognitive science, 2014 – Wiley Online Library … Natural language processing; Property norm; Wikipedia; Human evaluation; WordNet; Pointwise mutual information; Log-likelihood; Entropy. … Our system offers a viable and performant method of plausible triple extraction: Our lexical comparison shows comparable performance … Cited by 1 Related articles All 10 versions

Extracting representative information to enhance flexible data queries J Zhang, G Chen, X Tang – Neural Networks and Learning …, 2012 – ieeexplore.ieee.org … In Sections III and IV, the method of tuple extraction and the notion of relation compactness are discussed in detail. … if there exists an element u0 in U such that ?X (u0) = 1. Importantly, possibility distributions provide a graded semantics to natural language statements such as … Cited by 5 Related articles All 5 versions

Learning the visual interpretation of sentences CL Zitnick, D Parikh… – Computer Vision (ICCV), …, 2013 – ieeexplore.ieee.org … As the fields of Natural Language Processing (NLP) and computer vision progress we may move towards more descriptive and intuitive sentence-based image search. … In either case, improving tuple extraction is an important area for future research. … Cited by 16 Related articles All 14 versions

A novel feature-based method for sentiment analysis of Chinese product reviews L Lizhen, S Wei, W Hanshi, L Chuchu… – Communications, …, 2014 – ieeexplore.ieee.org … Therefore, sophisticated natural language pro- cessing technique, such as syntactic parsing, is necessary for Chinese sentiment analysis. … (6) 5.2 Comparisons and analysis 5.2.1 Evaluation of different dependencies for six-tuple extraction … Cited by 3 Related articles

Generating Coherent Event Schemas at Scale. N Balasubramanian, S Soderland, OE Mausam… – …, 2013 – homes.cs.washington.edu Page 1. Generating Coherent Event Schemas at Scale Niranjan Balasubramanian, Stephen Soderland, Mausam, Oren Etzioni Computer Science & Engineering University of Washington Seattle, WA 98195, USA {niranjan,ssoderlan, mausam, etzioni}@cs.washington.edu … Cited by 5 Related articles All 7 versions

Deriving a Web-Scale Common Sense Fact Knowledge Base N Tandon, G Weikum, G de Melo, M Theobald – 2011 – domino.mpi-inf.mpg.de … explicitly express the obvious, we believe that “a word is characterized by the company it keeps” [Firth, 1957] and exploit the very large quantities of natural language text that are … The foundations of IE can be found in the Natural Language Processing (NLP) community that … Related articles All 13 versions

Social relation extraction from texts using a support-vector-machine-based dependency trigram kernel M Choi, H Kim – Information Processing & Management, 2013 – Elsevier … Therefore, the completeness of a generated social network depends on the accuracy of the relation triple extraction. … proposed system operates in Korean, but we believe that any language can be used because the system uses conventional natural language processing (NLP … Cited by 5 Related articles All 4 versions

Automatic early defects detection in use case documents S Liu, J Sun, Y Liu, Y Zhang, B Wadhwa… – Proceedings of the 29th …, 2014 – dl.acm.org … D.2.1 [SOFTWARE ENGINEERING]: Requirements/Specifications Keywords:. Natural language processing; Use cases … parsing. Gervasi and Zowghi [6] proposed to uncover inconsisten- cies in natural language use case descriptions with formal reasoning techniques. … Related articles

Automatic extraction of events from open source text for predictive forecasting E Boschee, P Natarajan, R Weischedel – Handbook of Computational …, 2013 – Springer … In addition, we note that the primary goal of this study is to assess the suitability of statistical natural language processing techniques for social science event coding tasks. … 61 exist which perform event extraction for other ontologies or, more generally, “triple” extraction. … Cited by 5 Related articles All 3 versions

Extracting Structured Knowledge from Textual Data in Software Repositories M Hasan – 2011 – era.library.ualberta.ca … from software projects. The developed system integrates Natural Language Pro- … Some of these arti- facts are composed of more structured data (eg, source code), yet others include unstructured information (eg, documentation in natural language). … Related articles All 2 versions

Acquiring temporal constraints between relations PP Talukdar, D Wijaya, T Mitchell – Proceedings of the 21st ACM …, 2012 – dl.acm.org … Subject Descriptors I.2.4 [Artificial Intelligence]: Knowledge Representation Formalisms and Methods; I.2.6 [Artificial Intelligence]: Learning; I.2.7 [Artificial Intelligence]: Natural Language Processing … 4Details on the SVO triple extraction will appear in a longer version of this paper … Cited by 20 Related articles All 9 versions

Ontology Guided Information Extraction from Unstructured Text R Anantharangachar, S Ramani… – arXiv preprint arXiv: …, 2013 – arxiv.org … This approach uses Natural Language Processing (NLP) to identify a subject, and maps this subject to a semantic class, and uses the predicate and … We use a triple extraction algorithm described in [Deli] that we have implemented using the StanfordCoreNLP[16] java library. … Cited by 4 Related articles All 6 versions

A joint translation model with integrated reordering N Durrani – 2012 – statmt.org … bearing with my processes on the servers. • I want to thank to Professor. Sarmad Hussain who introduced me to the field of Natural Language Processing, and helped me in getting admission at the University of Stuttgart. … 88 3.1.1 Tuple Extraction . . . . . … Related articles All 5 versions

A structural approach to extracting Chinese position relations from web pages P Jin, J Yang, J Zhao, Y Liu – Journal of Web Engineering, 2013 – dl.acm.org … name, respectively. Position relation extraction aims at obtaining such position triples from natural language texts or Web pages. The position relation can serve as an important intelligence method in business competition. If … Related articles All 2 versions

[BOOK] Advances in deep parsing of scholarly paper content U Schäfer, B Kiefer – 2011 – Springer … Heart of Gold is an XML-based middleware architecture for the integration of multilingual shallow and deep natural language processing components … the overall offline analysis for search index generation, Figure 8 depicts the offline NLP and semantic tuple extraction workflow. … Cited by 8 Related articles All 8 versions

Walking forward and backward: towards graph-based searching and mining Y Fang – 2015 – ideals.illinois.edu … 6 2.1 The dual problems of pattern search and tuple extraction. . . . . 13 … are expected, such as (Tokyo, Japan) and (Toronto, Canada). While supervised natural language processing techniques [70, 42] have achieved consid- … Related articles

Towards deep content extraction from specialized discourse: the case of verbal relations in patent claims G Ferraro – 2012 – tesisenxarxa.net … Page 7. Abstract This thesis addresses the problem of the development of Natural Language Processing techniques for the extraction and generalization of compositional and functional relations from specialized written texts and, in particular, from patent claims. … Cited by 1 Related articles All 7 versions

Financial Information Extraction and Visualization J Rybak – 2013 – diva-portal.org … aware of the big potential in retrieving the data automatically or semiautomat- ically by means of natural language processing. … text written in natural language, to extract financial data from the unstructured sources and visualize them in the most appropriate form for the user. … Related articles All 3 versions

A Domain Security Ontology Network Constructing and Hardening Technology L Gang, M Yingge, W Kejun… – … and Control (IMCCC), …, 2014 – ieeexplore.ieee.org … In this paper, we introduces a novel method for ontology construction .Based on the object-oriented idea, this method characterizes the field text fragments gained through natural language processing as subjects with its property set and its operation object … SVO Triple Extraction … Related articles

Unsupervised Information Extraction From Text–Extraction and Clustering of Relations between Entities W Wang – 2013 – theses.fr … The application of this method on a newspaper corpus results in a large reference, based on which different clustering methods are evaluated. Keywords: natural language processing, unsupervised information extraction, relation clustering, semantic similarity Page 6. Page 7. … Related articles All 4 versions

Extract conceptual graphs from plain texts in patent claims SY Yang, VW Soo – Engineering Applications of Artificial Intelligence, 2012 – Elsevier … Sheremetyeva (2003) proposed a natural language processing method to extract the structure and chunk phrases of a patent claim. … But in reality in a natural language sentence, a relation usually may allow to link with another relation in order to express a complete notion. … Cited by 9 Related articles All 3 versions

A unified framework for translation and understanding allowing discriminative joint decoding for multilingual speech semantic interpretation B Jabaian, F Lefèvre, L Besacier – Computer Speech & Language, 2014 – Elsevier … translation task (from a natural source language to a target one) and the use of translation for understanding (translation from a natural language into semantic … The tuple extraction process ends when no smallest tuples can be found without violating the previous constraints. … Related articles All 5 versions

Protein interaction sentence detection using multiple semantic kernels. T Polajnar, T Damoulas, M Girolami – J. Biomedical Semantics, 2011 – biomedcentral.com … Page 2 of 18 Page 3. representation, which is easier to extract than the parser-based features, that are required for full triple extraction. … The clo- ser the AUC is to 1, the better the classification results. The F-score is often used in evaluating natural language processing tasks. … Cited by 4 Related articles All 16 versions

Entity extraction: From unstructured text to DBpedia RDF triples P Exner, P Nugues – The Web of Linked Entities Workshop (WoLE …, 2012 – lup.lub.lu.se … 61 Wikipedia articles are composed of text written in natural language annotated with a special markup called wikitext or wiki markup. … DBpedia Mapping Unmapped Triple Extraction Matching of Subject & Object with DBpedia Triplet Subject & Object Classification (B) (C) Fig. … Cited by 12 Related articles All 7 versions

Flower Voice: Virtual Assistant For Open Data T Kawamura, A Ohsuga – International Journal of Web & Semantic …, 2013 – airccse.org … Triple Extraction Answers … In the QA system and database researches, there are many attempts on automatic translation from natural language queries to formal language like SQL and SPARQL to help understanding of the ordinary users and even for DB experts. … Related articles All 3 versions

A data-and ontology-driven text mining-based construction of reliability model to analyze and predict component failures D Rajpathak, S De – Knowledge and Information Systems, 2015 – Springer … Abstract A real-life reliability system is proposed by fusing the field warranty failure data with the failure modes extracted from unstructured repair verbatim data by using the ontology- based natural language processing technique to facilitate accurate estimation of component … Related articles

A multi-dimensional classification approach towards recognizing textual semantic relations R Wang, Y Zhang – Proceedings of CI-CLing, 2011 – coli.uni-saarland.de … Entailment (RTE) has been known as a challenging task, with interesting close relations to both natural language understanding (ie meaning inter- pretation) and natural language processing (ie … Dependency Parsing Semantic Role Labeling T H Dependency Triple Extraction … Cited by 2 Related articles All 2 versions

Improving statistical machine translation through adaptation and learning Q Henriquez, A Carlos – 2014 – tesisenxarxa.net Page 1. Improving Statistical Machine Translation Through Adaptation And Learning Carlos A. Henríquez Q. Thesis advisor: Prof. Dr. José B. Mariño Acebal Thesis co-advisor: Rafael E. Banchs. Thesis presented to obtain the … Related articles All 6 versions

Syntax-based reordering for statistical machine translation M Khalilov, JAR Fonollosa – Computer speech & language, 2011 – Elsevier … One of the fundamental processes underlying any natural language is a linguistic typology defined in terms of the finite verb (V), its subject (S), and its object (O). Typological disparity of languages leads to particularly bad translation performed by monotone SMT systems and to … Cited by 8 Related articles All 11 versions

An NLP Assistant for Clide T Kortkamp – arXiv preprint arXiv:1409.2073, 2014 – arxiv.org … 49 5 Use case: Graph creation from a natural language specification 51 5.1 Triple walks . . . … Bibliography 65 Page 7. 7 1. Introduction While developing software or hardware natural language texts are part of the process and used to record or specify the system requirements. … Related articles All 2 versions

Improving Statistical Machine Translation Through Adaptation And Learning JBM Acebal – 2014 – tdx.cat Page 1. Improving Statistical Machine Translation Through Adaptation And Learning Carlos A. Henríquez Q. Thesis advisor: Prof. Dr. José B. Mariño Acebal Thesis co-advisor: Rafael E. Banchs. Thesis presented to obtain the … Related articles

Fine-grained Named Entity Classification in Machine Reading LIN Xi – 2011 – homes.cs.washington.edu … ticular Mr Edward Thomas Grefenstette, who has introduced to me a variety of useful natural language processing tools. … 47 iv Page 9. Chapter 1 Introduction In the field of natural language processing (NLP), named entity (NE) simply means …

Efficient querying and learning in probabilistic and temporal databases M Dylla – 2014 – pubman.mpdl.mpg.de … about the city of birth. Moreover, ambiguity can cause uncertainty. For instance, most sen- tences in natural language allow more than one interpretation, sometimes leaving the reader in doubt. Likewise, if we lack information … Cited by 1 Related articles All 8 versions

RoboCup@ Home: commanding a service robot by natural language. JY Puigbò Llobet – 2013 – upcommons.upc.edu … RoboCup@Home. Commanding a service robot by natural language. Jordi-Ysard Puigbò Llobet … Given that the context is action-oriented and the imperative sentences are commonly expressed in the form Verb + Complements the use of natural language processing is … Related articles

Effective searching of RDF knowledge bases S Elbassuoni – 2012 – scidok.sulb.uni-saarland.de … Wikipedia and the recent success in automatically extracting structured-information from semi-structured as well as natural-language Web sources have resulted in a strong leap in the amount of structured data available on the Web. … Cited by 2 Related articles All 12 versions

Domain Adaptation for Translation Models in Statistical Machine Translation R Sennrich – 2013 – cl.uzh.ch Page 1. Domain Adaptation for Translation Models in Statistical Machine Translation Thesis Presented to the Faculty of Arts and Social Sciences of the University of Zurich for the degree of Doctor of Philosophy by Rico Sennrich Accepted in the Autumn Term 2013 … Related articles

Extremist Ideological Influence on Terrorist Decision Frameworks WR Sieck, A Penta, P Smart, D Rababy, JL Smith… – 2012 – DTIC Document … The use of the Web as a cultural knowledge source is, however, complicated by its large-scale nature (which makes relevant information hard to find) and the fact that relevant information is often represented in natural language formats (this limits the kind of automated … Related articles

Web-Scale Search-Based Data Extraction and Integration KC Chang, T Shuck, G Kabra – 2011 – DTIC Document … 88 100 Summary of the different outlier detection algorithms 89 101 Breakdown of various types of ambiguity errors associated with the natural language parsing of Apartment feature descriptions 90 102 An example of ambiguous community area/neighborhood distinction. … Related articles

Recognizing Deverbal Events In Context F RUBINO – International Journal of Computational Linguistics and …, 2011 – gelbukh.com … with interesting close relations to both natural language understand- ing (ie meaning interpretation) and natural language processing (ie … Recognition & Classification Preprocessing Dependency Parsing Semantic Role Labeling T H Dependency Triple Extraction Path Extraction … Related articles