exploiting shallow linguistic information for relation extraction
Tài liệu Báo cáo khoa học: "Kernels on Linguistic Structures for Answer Extraction" doc
... 113–116,Columbus, Ohio, USA, June 2008.c2008 Association for Computational LinguisticsKernels on Linguistic Structures for Answer Extraction Alessandro Moschitti and Silvia QuarteroniDISI, ... between query and answer, recentwork, e.g. (Shen and Lapata, 2007) has shown that shallow semantic information in the form of predi-cate argument structures (PASs) improves the auto-matic detection ... and S. Manand-har. 2007. Exploiting syntactic and shallow semantickernels for question/answer classification. In ACL’07.A. Moschitti. 2006. Efficient convolution kernels for dependency and constituent...
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Tài liệu Báo cáo khoa học: "Composite Kernels For Relation Extraction" pdf
... tree kernel outperforms all others by 5.7%F-Measure reaching an F-Measure of 71.2%. Thisresult shows that both types of parse trees containrelevant information for relation extraction. The remainder ... benchmarkdataset. We close with a summary and conclu-sions.2 Kernels for Relation Extraction Relation extraction aims at learning a relation from a number of positive and negative instancesin natural ... suggestingthat both types of trees contain comple-mentary information for relation extrac-tion.1 IntroductionThe same semantic relation between entities innatural text can be expressed in...
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Tài liệu Báo cáo khoa học: "Incorporating Context Information for the Extraction of Terms" pdf
... 1996), incorporating information gained from the textual context of the candidate term. 2 Context information for terms The idea of incorporating context information for term extraction came ... Context Information for the Extraction of Terms Katerina T. Frantzi Dept. of Computing Manchester Metropolitan University Manchester, M1 5GD, U.K. K. Frantzi@doc. mmu. ac. uk Abstract The information ... with the relations between terms and concepts). Terms may consist of either one or more words. When the aim is the extraction of single-word terms, domain-dependent linguistic information...
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Báo cáo khoa học: "Dependency Tree Kernels for Relation Extraction" pot
... A. Richardella. 2003.Kernel methods for relation extraction. Jour-nal of Machine Learning Research, pages 1083–1106.Dependency Tree Kernels for Relation Extraction Aron CulottaUniversity of ... semantic la-bels denoting entity and relation types. WhereasMiller et al. (2000) use a generative model to pro-duce parse information as well as relation informa-tion, we hypothesize that a ... Probabilisticreasoning for entity and relation recognition. In19th International Conference on ComputationalLinguistics.Sam Scott and Stan Matwin. 1999. Feature engi-neering for text classification....
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Báo cáo khoa học: "Reducing Wrong Labels in Distant Supervision for Relation Extraction" potx
... Knowledge-based weak supervision for information extraction ofoverlapping relations. In Proceedings of the 49th An-nual Meeting of the Association for ComputationalLinguistics: Human Language Technologies ... dictionar-ies for information extraction by multi-level bootstrap-ping. In AAAI/IAAI, pages 474–479.Chang Wang, James Fan, Aditya Kalyanpur, and DavidGondek. 2011. Relation extraction with relation topics. ... patterns for the relation. 6We averaged the evaluation values in terms of macroaverage over relations before averaging over the datasplits.6Patterns that ambiguously express the relation, for...
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Báo cáo khoa học: "Distant supervision for relation extraction without labeled data" docx
... 2008. Self-supervised relation extraction from the web. Knowl-edge and Information Systems, 17(1):17–33.Yusuke Shinyama and Satoshi Sekine. 2006. Preemp-tive information extraction using unrestricted ... to a small number of relation instances and corpora of less than a mil-lion words.Many early algorithms for relation extraction used little or no syntactic information. For ex-ample, the DIPRE ... supervision for relation extraction without labeled dataMike Mintz, Steven Bills, Rion Snow, Dan JurafskyStanford University / Stanford, CA 94305{mikemintz,sbills,rion,jurafsky}@cs.stanford.eduAbstractModern...
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Tài liệu Báo cáo khoa học: "Exploiting Syntactic and Shallow Semantic Kernels for Question/Answer Classification" docx
... Computational Linguistics, pages 776–783,Prague, Czech Republic, June 2007.c2007 Association for Computational Linguistics Exploiting Syntactic and Shallow Semantic Kernels for Question/Answer ... impact of syntactic and shallow semantic information in automatic classifi-cation of questions and answers and answerre-ranking. We define (a) new tree struc-tures based on shallow semantics encodedin ... our knowledge nostudy uses kernel functions to encode syntactic in-formation. Moreover, the study of shallow semantic information such as predicate argument structuresannotated in the PropBank...
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Báo cáo khoa học: "Exploring Correlation of Dependency Relation Paths for Answer Extraction" doc
... incorporate the correlationsand rank candidate answers.3 Dependency Relation Path CorrelationIn this section, we discuss how the method per-forms in detail.3.1 Dependency Relation Path Extraction We ... Computational Linguistics and 44th Annual Meeting of the ACL, pages 889–896,Sydney, July 2006.c2006 Association for Computational LinguisticsExploring Correlation of Dependency Relation Paths for ... since Cor(P1, P2) = 0.3.3 Relation Correlation EstimationIn the above section, we have described how tomeasure path correlations. The measure requires relation correlations Cor(r1, r2)...
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Báo cáo khoa học: "Combining Tree Structures, Flat Features and Patterns for Biomedical Relation Extraction" ppt
... Relex relation extraction using dependencyparse trees. Bioinformatics, 23(3):365–371.Claudio Giuliano, Alberto Lavelli, and Lorenza Ro-mano. 2006. Exploiting shallow linguistic infor-mation for ... currenttrend for various relation extraction tasksincluding protein-protein interaction (PPI) extraction. PPI information is critical in un-derstanding biological processes. Despiteconsiderable efforts, ... of in-formation that we use are able to comple-ment each other for relation extraction. 1 IntroductionKernel methods are considered the most effectivetechniques for various relation extraction...
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Báo cáo khoa học: "A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction" pptx
... example of annotation projection for rela-tion extraction of a bitext in English and Korean2 Cross-lingual Annotation Projection for Relation Extraction Relation extraction can be considered to ... annual meeting of the Associa-tion for Computational Linguistics, pages 825–832.Z. Zhang. 2004. Weakly-supervised relation classifica-tion for information extraction. In Proceedings of thethirteenth ... dictionaries for information extraction by multi-level bootstrapping.In Proceedings of the National Conference on Artifi-cial Intelligence, pages 474–479.F. Wu and D. Weld. 2010. Open information extraction using...
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Báo cáo khoa học: "Multi-Task Transfer Learning for Weakly-Supervised Relation Extraction" pot
... AFNLPMulti-Task Transfer Learning for Weakly-Supervised Relation Extraction Jing JiangSchool of Information SystemsSingapore Management University80 Stamford Road, Singapore 178902jingjiang@smu.edu.sgAbstractCreating ... not in the form oflabeled instances. For example, we may be giventhe entity type restrictions on the two relation ar-guments. In addition to such limited information about the target relation ... baseline methods.1 Introduction Relation extraction is the task of detecting andcharacterizing semantic relations between entitiesfrom free text. Recent work on relation extraction has shown that...
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Tài liệu Developing Tools and Building Linguistic Resources for Vietnamese Morpho-Syntactic Processing docx
... computational linguistics yet. Therefore there does not exist any valid formal grammar for Vietnamese until now. The formalism that we choose in our project for Vietnamese parsing is Tree Adjoining ... list of all syllables in Vietnamese and a lexicon containing morpho-syntactic information. Our initial sources of information were a syllable base (about 6700 entries, provided by the Vietnam ... Attributes for N1 and N2:countable = + value for N1, - value for N2 (in general)classified = +, - (a positive value constraints the collocation of different classes of nouns for N1...
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- ask for information about cities
- institute for information law
- additional information for new discharges
- exploiting shallow linguistic information
- related classes in relation extraction
- exploiting shallow linguistic information for relation extraction from biomedical literature
- value of information for complex cost effectiveness models
- the tradeoffs between open and traditional relation extraction
- using deep linguistic features for finding deceptive opinion spam
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