메뉴 건너뛰기




Volumn 1, Issue , 2013, Pages 1222-1232

Spred: Large-scale harvesting of semantic predicates

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84903561626     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (63)
  • 1
    • 84856173463 scopus 로고    scopus 로고
    • Learning entailment relations by global graph structure optimization
    • Jonathan Berant, Ido Dagan, and Jacob Goldberger. 2012. Learning entailment relations by global graph structure optimization. Computational Linguistics, 38(1):73-111.
    • (2012) Computational Linguistics , vol.38 , Issue.1 , pp. 73-111
    • Berant, J.1    Dagan, I.2    Goldberger, J.3
  • 2
    • 79952274978 scopus 로고    scopus 로고
    • Discriminative learning of selectional preference from unlabeled text
    • Stroudsburg, PA, USA
    • Shane Bergsma, Dekang Lin, and Randy Goebel. 2008. Discriminative learning of selectional preference from unlabeled text. In Proc. of EMNLP, pages 59-68, Stroudsburg, PA, USA.
    • (2008) Proc. of EMNLP , pp. 59-68
    • Bergsma, S.1    Lin, D.2    Goebel, R.3
  • 4
    • 84859970910 scopus 로고    scopus 로고
    • Collocation extraction beyond the independence assumption
    • Uppsala, Sweden
    • Gerlof Bouma. 2010. Collocation Extraction beyond the Independence Assumption. In Proc. of ACL, Short Papers, pages 109-114, Uppsala, Sweden.
    • (2010) Proc. of ACL, Short Papers , pp. 109-114
    • Bouma, G.1
  • 6
    • 84855240161 scopus 로고    scopus 로고
    • Improving the use of pseudo-words for evaluating selectional preferences
    • Stroudsburg, PA, USA
    • Nathanael Chambers and Dan Jurafsky. 2010. Improving the use of pseudo-words for evaluating selectional preferences. In Proc. of ACL, pages 445-453, Stroudsburg, PA, USA.
    • (2010) Proc. of ACL , pp. 445-453
    • Chambers, N.1    Jurafsky, D.2
  • 7
    • 85033690108 scopus 로고    scopus 로고
    • VerbOcean: Mining the Web for fine-grained semantic verb relations
    • Barcelona, Spain
    • Tim Chklovski and Patrick Pantel. 2004. VerbOcean: Mining the Web for fine-grained semantic verb relations. In Proc. of EMNLP, pages 33-40, Barcelona, Spain.
    • (2004) Proc. of EMNLP , pp. 33-40
    • Chklovski, T.1    Pantel, P.2
  • 8
    • 63449086637 scopus 로고    scopus 로고
    • An experimental study of the impact of information extraction accuracy on semantic search performance
    • Lisbon, Portugal
    • Jennifer Chu-Carroll and John Prager. 2007. An experimental study of the impact of information extraction accuracy on semantic search performance. In Proc. of CIKM, pages 505-514, Lisbon, Portugal.
    • (2007) Proc. of CIKM , pp. 505-514
    • Chu-Carroll, J.1    Prager, J.2
  • 9
    • 80053364056 scopus 로고    scopus 로고
    • Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger
    • Sydney, Australia
    • Massimiliano Ciaramita and Yasemin Altun. 2006. Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger. In Proc. of EMNLP, pages 594-602, Sydney, Australia.
    • (2006) Proc. of EMNLP , pp. 594-602
    • Ciaramita, M.1    Altun, Y.2
  • 10
    • 0040669675 scopus 로고    scopus 로고
    • Class-based probability estimation using a semantic hierarchy
    • Stephen Clark and David Weir. 2002. Class-based probability estimation using a semantic hierarchy. Computational Linguistics, 28(2):187-206.
    • (2002) Computational Linguistics , vol.28 , Issue.2 , pp. 187-206
    • Clark, S.1    Weir, D.2
  • 12
    • 84907300399 scopus 로고    scopus 로고
    • GlossBoot: Bootstrapping multilingual domain glossaries from the Web
    • Sofia, Bulgaria
    • Flavio De Benedictis, Stefano Faralli, and Roberto Navigli. 2013. GlossBoot: Bootstrapping multilingual domain glossaries from the Web. In Proc. of ACL, Sofia, Bulgaria.
    • (2013) Proc. of ACL
    • De Benedictis, F.1    Faralli, S.2    Navigli, R.3
  • 13
    • 78651269398 scopus 로고    scopus 로고
    • MENTA: Inducing multilingual taxonomies from Wikipedia
    • New York, NY, USA
    • Gerard de Melo and Gerhard Weikum. 2010. MENTA: Inducing Multilingual Taxonomies from Wikipedia. In Proc. of CIKM, pages 1099-1108, New York, NY, USA.
    • (2010) Proc. of CIKM , pp. 1099-1108
    • De Melo, G.1    Weikum, G.2
  • 14
    • 80053246559 scopus 로고    scopus 로고
    • Graded word sense assignment
    • Stroudsburg, PA, USA
    • Katrin Erk and Diana McCarthy. 2009. Graded word sense assignment. In Proc. of EMNLP, pages 440-449, Stroudsburg, PA, USA.
    • (2009) Proc. of EMNLP , pp. 440-449
    • Erk, K.1    McCarthy, D.2
  • 15
    • 77958537272 scopus 로고    scopus 로고
    • A simple, similarity-based model for selectional preferences
    • Prague, Czech Republic
    • Katrin Erk. 2007. A Simple, Similarity-based Model for Selectional Preferences. In Proc. of ACL, pages 216-223, Prague, Czech Republic.
    • (2007) Proc. of ACL , pp. 216-223
    • Erk, K.1
  • 17
    • 80053288463 scopus 로고    scopus 로고
    • Identifying relations for open information extraction
    • Edinburgh, UK
    • Anthony Fader, Stephen Soderland, and Oren Etzioni. 2011. Identifying Relations for Open Information Extraction. In Proc. of EMNLP, pages 1535-1545, Edinburgh, UK.
    • (2011) Proc. of EMNLP , pp. 1535-1545
    • Fader, A.1    Soderland, S.2    Etzioni, O.3
  • 18
    • 84910609395 scopus 로고    scopus 로고
    • A Java framework for multilingual definition and hypernym extraction
    • Sofia, Bulgaria
    • Stefano Faralli and Roberto Navigli. 2013. A Java framework for multilingual definition and hypernym extraction. In Proc. of ACL, Comp. Volume, Sofia, Bulgaria.
    • (2013) Proc. of ACL, Comp. Volume
    • Faralli, S.1    Navigli, R.2
  • 21
    • 84856197089 scopus 로고    scopus 로고
    • Semisupervised semantic role labeling via structural alignment
    • Hagen Fürstenau and Mirella Lapata. 2012. Semisupervised semantic role labeling via structural alignment. Computational Linguistics, 38(1):135-171.
    • (2012) Computational Linguistics , vol.38 , Issue.1 , pp. 135-171
    • Fürstenau, H.1    Lapata, M.2
  • 22
    • 85118719409 scopus 로고    scopus 로고
    • Learning semantic constraints for the automatic discovery of part-whole relations
    • Edmonton, Canada
    • Roxana Girju, Adriana Badulescu, and Dan Moldovan. 2003. Learning semantic constraints for the automatic discovery of part-whole relations. In Proc. of HLT-NAACL, pages 1-8, Edmonton, Canada.
    • (2003) Proc. of HLT-NAACL , pp. 1-8
    • Girju, R.1    Badulescu, A.2    Moldovan, D.3
  • 23
    • 85120004163 scopus 로고    scopus 로고
    • Inducing frame semantic verb classes from WordNet and LDOCE
    • Barcelona, Spain
    • Rebecca Green, Bonnie J. Dorr, and Philip Resnik. 2004. Inducing Frame Semantic Verb Classes from WordNet and LDOCE. In Proc. of ACL, pages 375-382, Barcelona, Spain.
    • (2004) Proc. of ACL , pp. 375-382
    • Green, R.1    Dorr, B.J.2    Resnik, P.3
  • 25
    • 0012990385 scopus 로고
    • Automatic acquisition of hyponyms from large text corpora
    • Nantes, France
    • Marti A. Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In Proc. of COLING, pages 539-545, Nantes, France.
    • (1992) Proc. of COLING , pp. 539-545
    • Hearst, M.A.1
  • 26
    • 84870293219 scopus 로고    scopus 로고
    • Yago2: A spatially and temporally enhanced knowledge base from wikipedia
    • Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, and Gerhard Weikum. 2013. Yago2: A spatially and temporally enhanced knowledge base from wikipedia. Artificial Intelligence, 194:28-61.
    • (2013) Artificial Intelligence , vol.194 , pp. 28-61
    • Hoffart, J.1    Suchanek, F.M.2    Berberich, K.3    Weikum, G.4
  • 27
    • 84870297580 scopus 로고    scopus 로고
    • Collaboratively built semistructured content and artificial intelligence: The story so far
    • Eduard H. Hovy, Roberto Navigli, and Simone Paolo Ponzetto. 2013. Collaboratively built semistructured content and artificial intelligence: The story so far. Artificial Intelligence, 194:2-27.
    • (2013) Artificial Intelligence , vol.194 , pp. 2-27
    • Hovy, E.H.1    Navigli, R.2    Ponzetto, S.P.3
  • 28
    • 84859956127 scopus 로고    scopus 로고
    • Inducing domain-specific semantic class taggers from (almost) nothing
    • Uppsala, Sweden
    • Ruihong Huang and Ellen Riloff. 2010. Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing. In Proc. of ACL, pages 275-285, Uppsala, Sweden.
    • (2010) Proc. of ACL , pp. 275-285
    • Huang, R.1    Riloff, E.2
  • 29
    • 83155166639 scopus 로고    scopus 로고
    • Corpus-based semantic lexicon induction with Web-based corroboration
    • Stroudsburg, PA, USA
    • Sean P. Igo and Ellen Riloff. 2009. Corpus-based semantic lexicon induction with Web-based corroboration. In Proc. of UMSLLS, pages 18-26, Stroudsburg, PA, USA.
    • (2009) Proc. of UMSLLS , pp. 18-26
    • Igo, S.P.1    Riloff, E.2
  • 30
    • 79959667564 scopus 로고    scopus 로고
    • An empirical study on class-based word sense disambiguation
    • Athens, Greece
    • Rubén Izquierdo, Armando Suárez, and German Rigau. 2009. An Empirical Study on Class-Based Word Sense Disambiguation. In Proc. of EACL, pages 389-397, Athens, Greece.
    • (2009) Proc. of EACL , pp. 389-397
    • Izquierdo, R.1    Suárez, A.2    Rigau, G.3
  • 31
    • 84957604092 scopus 로고    scopus 로고
    • Inferring selectional preferences from part-of-speech n-grams
    • Stroudsburg, PA, USA
    • Hyeju Jang and Jack Mostow. 2012. Inferring selectional preferences from part-of-speech n-grams. In Proc. of EACL, pages 377-386, Stroudsburg, PA, USA.
    • (2012) Proc. of EACL , pp. 377-386
    • Jang, H.1    Mostow, J.2
  • 33
    • 84859968040 scopus 로고    scopus 로고
    • Learning arguments and supertypes of semantic relations using recursive patterns
    • Uppsala, Sweden
    • Zornitsa Kozareva and Eduard Hovy. 2010. Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns. In Proc. of ACL, pages 1482-1491, Uppsala, Sweden.
    • (2010) Proc. of ACL , pp. 1482-1491
    • Kozareva, Z.1    Hovy, E.2
  • 34
    • 84859906327 scopus 로고    scopus 로고
    • Semantic class learning from the web with hyponym pattern linkage graphs
    • Columbus, Ohio
    • Zornitsa Kozareva, Ellen Riloff, and Eduard H. Hovy. 2008. Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs. In Proc. ACL/HLT, pages 1048-1056, Columbus, Ohio.
    • (2008) Proc. ACL/HLT , pp. 1048-1056
    • Kozareva, Z.1    Riloff, E.2    Hovy, E.H.3
  • 35
    • 84868536333 scopus 로고    scopus 로고
    • Large-scale learning of relationextraction rules with distant supervision from the web
    • Boston, MA
    • Sebastian Krause, Hong Li, Hans Uszkoreit, and Feiyu Xu. 2012. Large-scale learning of relationextraction rules with distant supervision from the web. In Proc. of ISWC 2012, Part I, pages 263-278, Boston, MA.
    • (2012) Proc. of ISWC 2012, Part I , pp. 263-278
    • Krause, S.1    Li, H.2    Uszkoreit, H.3    Xu, F.4
  • 36
    • 0000216534 scopus 로고    scopus 로고
    • Generalizing case frames using a thesaurus and the MDL principle
    • Hang Li and Naoki Abe. 1998. Generalizing case frames using a thesaurus and the MDL principle. Computational Linguistics, 24(2):217-244.
    • (1998) Computational Linguistics , vol.24 , Issue.2 , pp. 217-244
    • Li, H.1    Abe, N.2
  • 38
    • 80053256782 scopus 로고    scopus 로고
    • Discovering relations between noun categories
    • Edinburgh, Scotland, UK
    • Thahir Mohamed, Estevam Hruschka, and Tom Mitchell. 2011. Discovering Relations between Noun Categories. In Proc. of EMNLP, pages 1447-1455, Edinburgh, Scotland, UK.
    • (2011) Proc. of EMNLP , pp. 1447-1455
    • Mohamed, T.1    Hruschka, E.2    Mitchell, T.3
  • 39
    • 84871066590 scopus 로고    scopus 로고
    • WiSeNet: Building a wikipedia-based semantic network with ontologized relations
    • Maui, HI, USA
    • Andrea Moro and Roberto Navigli. 2012. WiSeNet: Building a Wikipedia-based semantic network with ontologized relations. In Proc. of CIKM, pages 1672-1676, Maui, HI, USA.
    • (2012) Proc. of CIKM , pp. 1672-1676
    • Moro, A.1    Navigli, R.2
  • 40
    • 84896059864 scopus 로고    scopus 로고
    • Integrating syntactic and semantic analysis into the open information extraction paradigm
    • Beijing, China
    • Andrea Moro and Roberto Navigli. 2013. Integrating Syntactic and Semantic Analysis into the Open Information Extraction Paradigm. In Proc. of IJCAI, Beijing, China.
    • (2013) Proc. of IJCAI
    • Moro, A.1    Navigli, R.2
  • 41
    • 84870290509 scopus 로고    scopus 로고
    • Transforming wikipedia into a large scale multilingual concept network
    • Vivi Nastase and Michael Strube. 2013. Transforming wikipedia into a large scale multilingual concept network. Artificial Intelligence, 194:62-85.
    • (2013) Artificial Intelligence , vol.194 , pp. 62-85
    • Nastase, V.1    Strube, M.2
  • 42
    • 84867003885 scopus 로고    scopus 로고
    • BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
    • Roberto Navigli and Simone Paolo Ponzetto. 2012. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial Intelligence, 193:217-250.
    • (2012) Artificial Intelligence , vol.193 , pp. 217-250
    • Navigli, R.1    Ponzetto, S.P.2
  • 43
    • 80053605999 scopus 로고    scopus 로고
    • Learning word-class lattices for definition and hypernym extraction
    • Uppsala, Sweden
    • Roberto Navigli and Paola Velardi. 2010. Learning Word-Class Lattices for Definition and Hypernym Extraction. In Proc. of ACL, pages 1318-1327, Uppsala, Sweden.
    • (2010) Proc. of ACL , pp. 1318-1327
    • Navigli, R.1    Velardi, P.2
  • 44
    • 61949087310 scopus 로고    scopus 로고
    • Word sense disambiguation: A survey
    • Roberto Navigli. 2009. Word Sense Disambiguation: A survey. ACM Computing Surveys, 41(2):1-69.
    • (2009) ACM Computing Surveys , vol.41 , Issue.2 , pp. 1-69
    • Navigli, R.1
  • 45
    • 84858383754 scopus 로고    scopus 로고
    • ISP: Learning inferential selectional preferences
    • Rochester, NY
    • Patrick Pantel, Rahul Bhagat, Timothy Chklovski, and Eduard Hovy. 2007. ISP: learning inferential selectional preferences. In Proc. of NAACL, pages 564-571, Rochester, NY.
    • (2007) Proc. of NAACL , pp. 564-571
    • Pantel, P.1    Bhagat, R.2    Chklovski, T.3    Hovy, E.4
  • 46
    • 18744373348 scopus 로고    scopus 로고
    • Acquisition of categorized named entities for web search
    • New York, NY, USA
    • Marius Pasca. 2004. Acquisition of categorized named entities for web search. In Proc. of CIKM, pages 137-145, New York, NY, USA.
    • (2004) Proc. of CIKM , pp. 137-145
    • Pasca, M.1
  • 47
    • 47749103567 scopus 로고    scopus 로고
    • Ontologizing semantic relations
    • Sydney, Australia
    • Marco Pennacchiotti and Patrick Pantel. 2006. Ontologizing semantic relations. In Proc. of COLING, pages 793-800, Sydney, Australia.
    • (2006) Proc. of COLING , pp. 793-800
    • Pennacchiotti, M.1    Pantel, P.2
  • 48
    • 79955566948 scopus 로고    scopus 로고
    • Taxonomy induction based on a collaboratively built knowledge repository
    • Simone Paolo Ponzetto and Michael Strube. 2011. Taxonomy induction based on a collaboratively built knowledge repository. Artificial Intelligence, 175(9-10):1737-1756.
    • (2011) Artificial Intelligence , vol.175 , Issue.9-10 , pp. 1737-1756
    • Ponzetto, S.P.1    Strube, M.2
  • 49
    • 0030254974 scopus 로고    scopus 로고
    • Selectional constraints: An information-theoretic model and its computational realization
    • Philip Resnik. 1996. Selectional constraints: An information-theoretic model and its computational realization. Cognition, 61(1):127-159.
    • (1996) Cognition , vol.61 , Issue.1 , pp. 127-159
    • Resnik, P.1
  • 50
    • 84859980796 scopus 로고    scopus 로고
    • A latent dirichlet allocation method for selectional preferences
    • Uppsala, Sweden. ACL
    • Alan Ritter, Mausam, and Oren Etzioni. 2010. A latent dirichlet allocation method for selectional preferences. In Proc. of ACL, pages 424-434, Uppsala, Sweden. ACL.
    • (2010) Proc. of ACL , pp. 424-434
    • Ritter, A.1    Mausam2    Etzioni, O.3
  • 51
    • 78650701722 scopus 로고    scopus 로고
    • Inducing a semantically annotated lexicon via EM-based clustering
    • Stroudsburg, PA, USA
    • Mats Rooth, Stefan Riezler, Detlef Prescher, Glenn Carroll, and Franz Beil. 1999. Inducing a semantically annotated lexicon via EM-based clustering. In Proc. of ACL, pages 104-111, Stroudsburg, PA, USA.
    • (1999) Proc. of ACL , pp. 104-111
    • Rooth, M.1    Riezler, S.2    Prescher, D.3    Carroll, G.4    Beil, F.5
  • 52
    • 84859952910 scopus 로고    scopus 로고
    • Latent variable models of selectional preference
    • Uppsala, Sweden
    • Diarmuid O Séaghdha. 2010. Latent variable models of selectional preference. In Proc. of ACL, pages 435-444, Uppsala, Sweden.
    • (2010) Proc. of ACL , pp. 435-444
    • Séaghdha, D.O.1
  • 53
    • 34247123828 scopus 로고    scopus 로고
    • Learning syntactic patterns for automatic hypernym discovery
    • Cambridge, Mass
    • Rion Snow, Daniel Jurafsky, and Andrew Y. Ng. 2004. Learning Syntactic Patterns for Automatic Hypernym Discovery. In NIPS, pages 1297-1304, Cambridge, Mass.
    • (2004) NIPS , pp. 1297-1304
    • Snow, R.1    Jurafsky, D.2    Ng, A.Y.3
  • 54
    • 84907328385 scopus 로고    scopus 로고
    • Biutee: A modular open-source system for recognizing textual entailment
    • Jeju Island, Korea
    • Asher Stern and Ido Dagan. 2012. Biutee: A modular open-source system for recognizing textual entailment. In Proc. of ACL 2012, System Demonstrations, pages 73-78, Jeju Island, Korea.
    • (2012) Proc. of ACL 2012, System Demonstrations , pp. 73-78
    • Stern, A.1    Dagan, I.2
  • 55
    • 85149133991 scopus 로고    scopus 로고
    • Using predicate-argument structures for information extraction
    • Stroudsburg, PA, USA
    • Mihai Surdeanu, Sanda Harabagiu, John Williams, and Paul Aarseth. 2003. Using predicate-argument structures for information extraction. In Proc. ACL, pages 8-15, Stroudsburg, PA, USA.
    • (2003) Proc. ACL , pp. 8-15
    • Surdeanu, M.1    Harabagiu, S.2    Williams, J.3    Aarseth, P.4
  • 56
    • 85037064574 scopus 로고    scopus 로고
    • A bootstrapping method for learning semantic lexicons using extraction pattern contexts
    • Salt Lake City, UT, USA
    • M. Thelen and E. Riloff. 2002. A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts. In Proc. of EMNLP, pages 214-221, Salt Lake City, UT, USA.
    • (2002) Proc. of EMNLP , pp. 214-221
    • Thelen, M.1    Riloff, E.2
  • 57
    • 84880161071 scopus 로고    scopus 로고
    • OntoLearn Reloaded: A graph-based algorithm for taxonomy induction
    • Paola Velardi, Stefano Faralli, and Roberto Navigli. 2013. OntoLearn Reloaded: A graph-based algorithm for taxonomy induction. Computational Linguistics, 39 (3).
    • (2013) Computational Linguistics , vol.39 , Issue.3
    • Velardi, P.1    Faralli, S.2    Navigli, R.3
  • 58
    • 0016487535 scopus 로고
    • A preferential, pattern-seeking, semantics for natural language inference
    • Yorick Wilks. 1975. A preferential, pattern-seeking, semantics for natural language inference. Artificial Intelligence, 6(1):53-74.
    • (1975) Artificial Intelligence , vol.6 , Issue.1 , pp. 53-74
    • Wilks, Y.1
  • 59
    • 84455197425 scopus 로고    scopus 로고
    • Open information extraction using wikipedia
    • Uppsala, Sweden
    • Fei Wu and Daniel S. Weld. 2010. Open Information Extraction Using Wikipedia. In Proc. of ACL, pages 118-127, Uppsala, Sweden.
    • (2010) Proc. of ACL , pp. 118-127
    • Wu, F.1    Weld, D.S.2
  • 60
    • 80053355333 scopus 로고    scopus 로고
    • Automatic construction of predicate-argument structure patterns for biomedical information extraction
    • Stroudsburg, PA, USA
    • Akane Yakushiji, Yusuke Miyao, Tomoko Ohta, Yuka Tateisi, and Jun'ichi Tsujii. 2006. Automatic construction of predicate-argument structure patterns for biomedical information extraction. In Proc. of EMNLP, pages 284-292, Stroudsburg, PA, USA.
    • (2006) Proc. of EMNLP , pp. 284-292
    • Yakushiji, A.1    Miyao, Y.2    Ohta, T.3    Tateisi, Y.4    Jun'ichi Tsujii5
  • 61
    • 85141919230 scopus 로고
    • Unsupervised word sense disambiguation rivaling supervised methods
    • Cambridge, MA, USA
    • David Yarowsky. 1995. Unsupervised Word Sense Disambiguation Rivaling Supervised Methods. In Proc. of ACL, pages 189-196, Cambridge, MA, USA.
    • (1995) Proc. of ACL , pp. 189-196
    • Yarowsky, D.1
  • 62
    • 65349191273 scopus 로고    scopus 로고
    • Unsupervised methods for determining object and relation synonyms on the web
    • Alexander Yates and Oren Etzioni. 2009. Unsupervised methods for determining object and relation synonyms on the web. Journal of Artificial Intelligence Research, 34(1):255.
    • (2009) Journal of Artificial Intelligence Research , vol.34 , Issue.1 , pp. 255
    • Yates, A.1    Etzioni, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.