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Volumn 8218 LNCS, Issue PART 1, 2013, Pages 347-362

Semantic rule filtering for web-scale relation extraction

Author keywords

Relation Extraction; Rule Filtering; Semantic relations; Semantics; Web scale; WSD

Indexed keywords

CORRESPONDING RELATIONS; KNOWLEDGE BUILDING; LEXICAL SEMANTIC NETWORKS; RELATION EXTRACTION; SEMANTIC RELATIONS; WEB-SCALE; WORD SENSE DISAMBIGUATION; WSD;

EID: 84891942889     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41335-3_22     Document Type: Conference Paper
Times cited : (22)

References (60)
  • 2
    • 85016599197 scopus 로고    scopus 로고
    • Maltoptimizer: An optimization tool for maltparser
    • Ballesteros, M., Nivre, J.: Maltoptimizer: An optimization tool for maltparser. In: Proc. of EACL, pp. 58-62 (2012)
    • (2012) Proc. of EACL , pp. 58-62
    • Ballesteros, M.1    Nivre, J.2
  • 3
    • 70449650184 scopus 로고    scopus 로고
    • The Tradeoffs Between Open and Traditional Relation Extraction
    • Banko, M., Etzioni, O.: The Tradeoffs Between Open and Traditional Relation Extraction. In: Proc. of ACL/HLT, pp. 28-36 (2008)
    • (2008) Proc. of ACL/HLT , pp. 28-36
    • Banko, M.1    Etzioni, O.2
  • 6
    • 57149137628 scopus 로고    scopus 로고
    • Freebase: A collaboratively created graph database for structuring human knowledge
    • Bollacker, K.D., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proc. of SIGMOD, pp. 1247-1250 (2008)
    • (2008) Proc. of SIGMOD , pp. 1247-1250
    • Bollacker, K.D.1    Evans, C.2    Paritosh, P.3    Sturge, T.4    Taylor, J.5
  • 7
    • 0003146263 scopus 로고    scopus 로고
    • Extracting patterns and relations from the World Wide Web
    • Brin, S.: Extracting patterns and relations from the World Wide Web. In: Proc. of WebDB, pp. 172-183 (1998)
    • (1998) Proc. of WebDB , pp. 172-183
    • Brin, S.1
  • 11
    • 84859031856 scopus 로고    scopus 로고
    • Exploiting Syntactico-Semantic Structures for Relation Extraction
    • Chan, Y.S., Roth, D.: Exploiting Syntactico-Semantic Structures for Relation Extraction. In: Proc. of ACL, pp. 551-560 (2011)
    • (2011) Proc. of ACL , pp. 551-560
    • Chan, Y.S.1    Roth, D.2
  • 14
    • 80053288463 scopus 로고    scopus 로고
    • Identifying Relations for Open Information Extraction
    • Fader, A., Soderland, S., Etzioni, O.: Identifying Relations for Open Information Extraction. In: Proc. of EMNLP, pp. 1535-1545 (2011)
    • (2011) Proc. of EMNLP , pp. 1535-1545
    • Fader, A.1    Soderland, S.2    Etzioni, O.3
  • 16
    • 84859918687 scopus 로고    scopus 로고
    • Incorporating non-local information into information extraction systems by gibbs sampling
    • Finkel, J.R., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by gibbs sampling. In: Proc. of ACL, pp. 363-370 (2005)
    • (2005) Proc. of ACL , pp. 363-370
    • Finkel, J.R.1    Grenager, T.2    Manning, C.3
  • 18
    • 84870293219 scopus 로고    scopus 로고
    • YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
    • Hoffart, J., Suchanek, F.M., Berberich, K.,Weikum, G.: YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia. Artificial Intelligence 194, 28-61 (2013)
    • (2013) Artificial Intelligence , vol.194 , pp. 28-61
    • Hoffart, J.1    Suchanek, F.M.2    Berberich, K.3    Weikum, G.4
  • 19
    • 84858434398 scopus 로고    scopus 로고
    • A Systematic Exploration of the Feature Space for Relation Extraction
    • Jiang, J., Zhai, C.: A Systematic Exploration of the Feature Space for Relation Extraction. In: Proc. of NAACL, pp. 113-120 (2007)
    • (2007) Proc. of NAACL , pp. 113-120
    • Jiang, J.1    Zhai, C.2
  • 20
    • 33746077149 scopus 로고    scopus 로고
    • Combining lexical, syntactic, and semantic features with maximum entropy models for information extraction
    • Kambhatla, N.: Combining lexical, syntactic, and semantic features with maximum entropy models for information extraction. In: Proc. of ACL (Demonstration), pp. 178-181 (2004)
    • (2004) Proc. of ACL (Demonstration) , pp. 178-181
    • Kambhatla, N.1
  • 21
    • 80053269546 scopus 로고    scopus 로고
    • A semi-supervised method to learn and construct taxonomies using the Web
    • Kozareva, Z.,Hovy, E.H.: A semi-supervised method to learn and construct taxonomies using the Web. In: Proc. of EMNLP, pp. 1110-1118 (2010)
    • (2010) Proc. of EMNLP , pp. 1110-1118
    • Kozareva, Z.1    Hovy, E.H.2
  • 22
    • 84868536333 scopus 로고    scopus 로고
    • Large-scale learning of relation-extraction rules with distant supervision from the web
    • Cudré-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., Euzenat, J., Hauswirth, M., Parreira, J.X., Hendler, J., Schreiber, G., Bernstein, A., Blomqvist, E. (eds.) ISWC 2012, Part I. Springer, Heidelberg
    • Krause, S., Li, H., Uszkoreit, H., Xu, F.: Large-scale learning of relation-extraction rules with distant supervision from the web. In: Cudré-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., Euzenat, J., Hauswirth, M., Parreira, J.X., Hendler, J., Schreiber, G., Bernstein, A., Blomqvist, E. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 263-278. Springer, Heidelberg (2012)
    • (2012) LNCS , vol.7649 , pp. 263-278
    • Krause, S.1    Li, H.2    Uszkoreit, H.3    Xu, F.4
  • 23
    • 80053232762 scopus 로고    scopus 로고
    • Random walk inference and learning in a large scale knowledge base
    • Lao, N., Mitchell, T., Cohen, W.W.: Random walk inference and learning in a large scale knowledge base. In: Proc. of EMNLP, pp. 529-539 (2011)
    • (2011) Proc. of EMNLP , pp. 529-539
    • Lao, N.1    Mitchell, T.2    Cohen, W.W.3
  • 24
    • 85048535737 scopus 로고    scopus 로고
    • A Novel Use of Statistical Parsing to Extract Information from Text
    • Miller, S., Fox, H., Ramshaw, L., Weischedel, R.: A Novel Use of Statistical Parsing to Extract Information from Text. In: Proc. of NAACL, pp. 226-233 (2000)
    • (2000) Proc. of NAACL , pp. 226-233
    • Miller, S.1    Fox, H.2    Ramshaw, L.3    Weischedel, R.4
  • 25
    • 85184862820 scopus 로고    scopus 로고
    • Distant supervision for relation extraction without labeled data
    • Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In: Proc. of ACL/AFNLP, pp. 1003-1011 (2009)
    • (2009) Proc. of ACL/AFNLP , pp. 1003-1011
    • Mintz, M.1    Bills, S.2    Snow, R.3    Jurafsky, D.4
  • 26
    • 80053256782 scopus 로고    scopus 로고
    • Discovering relations between noun categories
    • Mohamed, T., Hruschka, E., Mitchell, T.: Discovering relations between noun categories. In: Proc. of EMNLP, pp. 1447-1455 (2011)
    • (2011) Proc. of EMNLP , pp. 1447-1455
    • Mohamed, T.1    Hruschka, E.2    Mitchell, T.3
  • 27
    • 84871066590 scopus 로고    scopus 로고
    • WiSeNet: Building a wikipedia-based semantic network with ontologized relations
    • Moro, A., Navigli, R.: WiSeNet: building a wikipedia-based semantic network with ontologized relations. In: Proc. of CIKM, pp. 1672-1676 (2012)
    • (2012) Proc. of CIKM , pp. 1672-1676
    • Moro, A.1    Navigli, R.2
  • 28
    • 84896059864 scopus 로고    scopus 로고
    • Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm
    • Moro, A., Navigli, R.: Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm. In: Proc. of IJCAI, pp. 2148-2154 (2013)
    • (2013) Proc. of IJCAI , pp. 2148-2154
    • Moro, A.1    Navigli, R.2
  • 29
    • 84870290509 scopus 로고    scopus 로고
    • Transforming Wikipedia into a large scale multilingual concept network
    • Nastase, V., Strube, M.: Transforming Wikipedia into a large scale multilingual concept network. Artificial Intelligence 194, 62-85 (2013)
    • (2013) Artificial Intelligence , vol.194 , pp. 62-85
    • Nastase, V.1    Strube, M.2
  • 30
    • 61949087310 scopus 로고    scopus 로고
    • Word Sense Disambiguation: A survey
    • Navigli, R.:Word Sense Disambiguation: A survey. ACM Comput. Surv. 41(2), 1-69 (2009)
    • (2009) ACM Comput. Surv. , vol.41 , Issue.2 , pp. 1-69
    • Navigli, R.1
  • 31
    • 84867003885 scopus 로고    scopus 로고
    • BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
    • Navigli, R., Ponzetto, S.P.: BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial Intelligence 193, 217-250 (2012)
    • (2012) Artificial Intelligence , vol.193 , pp. 217-250
    • Navigli, R.1    Ponzetto, S.P.2
  • 32
    • 84891926523 scopus 로고    scopus 로고
    • BabelNet goes to the (Multilingual) Semantic Web
    • Navigli, R.: BabelNet goes to the (Multilingual) Semantic Web. In: Proc. of MSW (2012)
    • Proc. of MSW (2012)
    • Navigli, R.1
  • 33
    • 84870290978 scopus 로고    scopus 로고
    • Joining forces pays off: Multilingual Joint Word Sense Disambiguation
    • Navigli, R., Ponzetto, S.P.: Joining forces pays off: Multilingual Joint Word Sense Disambiguation. In: Proc. of EMNLP-CoNLL, pp. 1399-1410 (2012)
    • (2012) Proc. of EMNLP-CoNLL , pp. 1399-1410
    • Navigli, R.1    Ponzetto, S.P.2
  • 34
    • 84937602158 scopus 로고    scopus 로고
    • Multilingual WSD with Just a Few Lines of Code: The BabelNet API
    • Navigli, R., Ponzetto, S.P.: Multilingual WSD with Just a Few Lines of Code: the BabelNet API. In: Proc. of ACL (System Demonstrations), pp. 67-72 (2012)
    • (2012) Proc. of ACL (System Demonstrations) , pp. 67-72
    • Navigli, R.1    Ponzetto, S.P.2
  • 35
    • 84863237864 scopus 로고    scopus 로고
    • Simple tricks for improving pattern-based information extraction from the biomedical literature
    • Nguyen, Q., Tikk, D., Leser, U.: Simple tricks for improving pattern-based information extraction from the biomedical literature. Journal of Biomedical Semantics 1(1) (2010)
    • (2010) Journal of Biomedical Semantics , vol.1 , Issue.1
    • Nguyen, Q.1    Tikk, D.2    Leser, U.3
  • 36
    • 84878205059 scopus 로고    scopus 로고
    • Joint distant and direct supervision for relation extraction
    • Nguyen, T.V.T., Moschitti, A.: Joint distant and direct supervision for relation extraction. In: Proc. of 5th IJCNLP, pp. 732-740 (2011)
    • (2011) Proc. of 5th IJCNLP , pp. 732-740
    • Nguyen, T.V.T.1    Moschitti, A.2
  • 37
    • 19944407315 scopus 로고    scopus 로고
    • 5th edn. Linguistic Data Consortium. Philadelphia
    • Parker, R.: English Gigaword, 5th edn. Linguistic Data Consortium. Philadelphia (2011)
    • (2011) English Gigaword
    • Parker, R.1
  • 39
    • 84978127045 scopus 로고    scopus 로고
    • Learning surface text patterns for a Question Answering System
    • Ravichandran, D., Hovy, E.H.: Learning surface text patterns for a Question Answering System. In: Proc. of ACL, pp. 41-47 (2002)
    • (2002) Proc. of ACL , pp. 41-47
    • Ravichandran, D.1    Hovy, E.H.2
  • 40
    • 84858385171 scopus 로고    scopus 로고
    • Preemptive Information Extraction using Unrestricted Relation Discovery
    • Shinyama, Y., Sekine, S.: Preemptive Information Extraction using Unrestricted Relation Discovery. In: Proc. of HLT-NAACL (2006)
    • Proc. of HLT-NAACL (2006)
    • Shinyama, Y.1    Sekine, S.2
  • 41
    • 79953704003 scopus 로고    scopus 로고
    • Adapting Open Information Extraction to Domain-Specific Relations
    • Soderland, S., Roof, B., Qin, B., Xu, S., Mausam, E.O.: Adapting Open Information Extraction to Domain-Specific Relations. AI Magazine 31(3), 93-102 (2010)
    • (2010) AI Magazine , vol.31 , Issue.3 , pp. 93-102
    • Soderland, S.1    Roof, B.2    Qin, B.3    Xu, S.4    Mausam, E.O.5
  • 42
    • 51449096194 scopus 로고    scopus 로고
    • YAGO: A large ontology from Wikipedia and WordNet
    • Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: A large ontology from Wikipedia and WordNet. J. Web. Semant. 6, 203-217 (2008)
    • (2008) J. Web. Semant. , vol.6 , pp. 203-217
    • Suchanek, F.M.1    Kasneci, G.2    Weikum, G.3
  • 45
    • 79952263475 scopus 로고    scopus 로고
    • Learning relation extraction grammars with minimal human intervention: Strategy, results, insights and plans
    • Gelbukh, A. (ed.) CICLing 2011, Part II. Springer, Heidelberg
    • Uszkoreit, H.: Learning relation extraction grammars with minimal human intervention: Strategy, results, insights and plans. In: Gelbukh, A. (ed.) CICLing 2011, Part II. LNCS, vol. 6609, pp. 106-126. Springer, Heidelberg (2011)
    • (2011) LNCS , vol.6609 , pp. 106-126
    • Uszkoreit, H.1
  • 46
    • 84987993982 scopus 로고    scopus 로고
    • Comparing the benefit of different dependency parsers for textual entailment using syntactic constraints only
    • Volokh, A., Neumann, G.: Comparing the benefit of different dependency parsers for textual entailment using syntactic constraints only. In: Proc. of SemEval, pp. 308-312 (2010)
    • (2010) Proc. of SemEval , pp. 308-312
    • Volokh, A.1    Neumann, G.2
  • 47
    • 63749101574 scopus 로고    scopus 로고
    • Using Wikipedia to bootstrap open information extraction
    • Weld, D.S.,Hoffmann, R.,Wu, F.: Using Wikipedia to bootstrap open information extraction. SIGMOD Record 37, 62-68 (2008)
    • (2008) SIGMOD Record , vol.37 , pp. 62-68
    • Weld, D.S.1    Hoffmann, R.2    Wu, F.3
  • 48
    • 84455197425 scopus 로고    scopus 로고
    • Open Information Extraction Using Wikipedia
    • Wu, F., Weld, D.S.: Open Information Extraction Using Wikipedia. In: Proc. of ACL (2010)
    • Proc. of ACL (2010)
    • Wu, F.1    Weld, D.S.2
  • 49
    • 65449144450 scopus 로고    scopus 로고
    • Information extraction fromWikipedia: Moving down the long tail
    • Wu, F., Hoffmann, R.,Weld, D.S.: Information extraction fromWikipedia: moving down the long tail. In: Proc. of KDD, pp. 731-739 (2008)
    • (2008) Proc. of KDD , pp. 731-739
    • Wu, F.1    Hoffmann, R.2    Weld, D.S.3
  • 51
    • 80053392853 scopus 로고    scopus 로고
    • Boosting relation extraction with limited closed-world knowledge
    • Xu, F., Uszkoreit, H., Krause, S., Li, H.: Boosting relation extraction with limited closed-world knowledge. In: Proc. of COLING (Posters), pp. 1354-1362 (2010)
    • (2010) Proc. of COLING (Posters) , pp. 1354-1362
    • Xu, F.1    Uszkoreit, H.2    Krause, S.3    Li, H.4
  • 52
    • 84860504661 scopus 로고    scopus 로고
    • A seed-driven bottom-up machine learning framework for extracting relations of various complexity
    • Xu, F., Uszkoreit, H., Li, H.: A seed-driven bottom-up machine learning framework for extracting relations of various complexity. In: Proc. of ACL (2007)
    • (2007) Proc. of ACL
    • Xu, F.1    Uszkoreit, H.2    Li, H.3
  • 53
    • 84868539150 scopus 로고    scopus 로고
    • Passage retrieval for information extraction using distant supervision
    • Xu, W., Grishman, R., Zhao, L.: Passage retrieval for information extraction using distant supervision. In: Proc. of IJCNLP, pp. 1046-1054 (2011)
    • (2011) Proc. of IJCNLP , pp. 1046-1054
    • Xu, W.1    Grishman, R.2    Zhao, L.3
  • 54
    • 85055541740 scopus 로고    scopus 로고
    • Counter-training in discovery of semantic patterns
    • Yangarber, R.: Counter-training in discovery of semantic patterns. In: Proc. of ACL (2003)
    • (2003) Proc. of ACL
    • Yangarber, R.1
  • 55
    • 0001964498 scopus 로고    scopus 로고
    • Automatic acquisition of domain knowledge for information extraction
    • Yangarber, R., Grishman, R., Tapanainen, P.: Automatic acquisition of domain knowledge for information extraction. In: Proc. of COLING, pp. 940-946 (2000)
    • (2000) Proc. of COLING , pp. 940-946
    • Yangarber, R.1    Grishman, R.2    Tapanainen, P.3
  • 57
    • 84858390061 scopus 로고    scopus 로고
    • Unsupervised Resolution of Objects and Relations on the Web
    • Yates, A., Etzioni, O.: Unsupervised Resolution of Objects and Relations on the Web. In: Proc. of HLT-NAACL, pp. 121-130 (2007)
    • (2007) Proc. of HLT-NAACL , pp. 121-130
    • Yates, A.1    Etzioni, O.2
  • 59
    • 75149177074 scopus 로고    scopus 로고
    • Tree kernel-based semantic relation extraction with rich syntactic and semantic information
    • Zhou, G., Qian, L., Fan, J.: Tree kernel-based semantic relation extraction with rich syntactic and semantic information. Inf. Sci. 180(8), 1313-1325 (2010)
    • (2010) Inf. Sci. , vol.180 , Issue.8 , pp. 1313-1325
    • Zhou, G.1    Qian, L.2    Fan, J.3
  • 60
    • 33947183528 scopus 로고    scopus 로고
    • Extracting relation information from text documents by exploring various types of knowledge
    • Zhou, G., Zhang, M.: Extracting relation information from text documents by exploring various types of knowledge. Inf. Process. Manage. 43(4), 969-982 (2007)
    • (2007) Inf. Process. Manage. , vol.43 , Issue.4 , pp. 969-982
    • Zhou, G.1    Zhang, M.2


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