Supervised Distributional Hypernym Discovery via Domain Adaptation

Comunicacio presentada a la Conference on Empirical Methods in Natural Language Processing celebrada els dies 1 a 5 de novembre de 2016 a Austin, Texas.

[1]  See-Kiong Ng,et al.  Taxonomy Construction Using Syntactic Contextual Evidence , 2014, EMNLP.

[2]  Paul Buitelaar,et al.  SemEval-2015 Task 17: Taxonomy Extraction Evaluation (TExEval) , 2015, SemEval@NAACL-HLT.

[3]  Roberto Navigli,et al.  Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis , 2015, TACL.

[4]  Simone Paolo Ponzetto,et al.  BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network , 2012, Artif. Intell..

[5]  Andrew McCallum,et al.  Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space , 2014, EMNLP.

[6]  Zornitsa Kozareva,et al.  A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web , 2010, EMNLP.

[7]  Alessandro Lenci,et al.  How we BLESSed distributional semantic evaluation , 2011, GEMS.

[8]  Eneko Agirre,et al.  Random Walks for Knowledge-Based Word Sense Disambiguation , 2014, CL.

[9]  Quoc V. Le,et al.  Exploiting Similarities among Languages for Machine Translation , 2013, ArXiv.

[10]  Estevam R. Hruschka,et al.  Toward an Architecture for Never-Ending Language Learning , 2010, AAAI.

[11]  Geoffrey Zweig,et al.  Linguistic Regularities in Continuous Space Word Representations , 2013, NAACL.

[12]  Roberto Navigli,et al.  A Unified Multilingual Semantic Representation of Concepts , 2015, ACL.

[13]  Gemma Boleda,et al.  Inclusive yet Selective: Supervised Distributional Hypernymy Detection , 2014, COLING.

[14]  Gerhard Weikum,et al.  HARPY: Hypernyms and Alignment of Relational Paraphrases , 2014, COLING.

[15]  Roberto Navigli,et al.  Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity , 2013, ACL.

[16]  Dan Klein,et al.  Structured Learning for Taxonomy Induction with Belief Propagation , 2014, ACL.

[17]  Sanda M. Harabagiu,et al.  Open-domain textual question answering techniques , 2003, Natural Language Engineering.

[18]  Euripides G. M. Petrakis,et al.  Semantic similarity methods in wordNet and their application to information retrieval on the web , 2005, WIDM '05.

[19]  Raffaella Bernardi,et al.  Entailment above the word level in distributional semantics , 2012, EACL.

[20]  Charles L. A. Clarke,et al.  Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings , 2015, ACL.

[21]  E. Mayr.  The Growth of Biological Thought: Diversity, Evolution, and Inheritance , 1983 .

[22]  Mark Dredze,et al.  Improving Lexical Embeddings with Semantic Knowledge , 2014, ACL.

[23]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[24]  Omer Levy,et al.  Do Supervised Distributional Methods Really Learn Lexical Inference Relations? , 2015, NAACL.

[25]  Doug Downey,et al.  Unsupervised named-entity extraction from the Web: An experimental study , 2005, Artif. Intell..

[26]  Eugene Agichtein,et al.  Finding the right facts in the crowd: factoid question answering over social media , 2008, WWW.

[27]  Kristen Grauman,et al.  Semantic Kernel Forests from Multiple Taxonomies , 2012, NIPS.

[28]  Ido Dagan,et al.  A Probabilistic Classification Approach for Lexical Textual Entailment , 2005, AAAI.

[29]  Marti A. Hearst.  Automatic Acquisition of Hyponyms from Large Text Corpora , 1992, COLING.

[30]  Gerhard Weikum,et al.  PATTY: A Taxonomy of Relational Patterns with Semantic Types , 2012, EMNLP.

[31]  Horacio Saggion,et al.  ExTaSem! Extending, Taxonomizing and Semantifying Domain Terminologies , 2016, AAAI.

[32]  Daniel Jurafsky,et al.  Semantic Taxonomy Induction from Heterogenous Evidence , 2006, ACL.

[33]  Ido Dagan,et al.  Improving Hypernymy Detection with an Integrated Path-based and Distributional Method , 2016, ACL.

[34]  See-Kiong Ng,et al.  Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction , 2015, EMNLP.

[35]  Andrew Y. Ng,et al.  Improving Word Representations via Global Context and Multiple Word Prototypes , 2012, ACL.

[36]  Daniel Jurafsky,et al.  Learning Syntactic Patterns for Automatic Hypernym Discovery , 2004, NIPS.

[37]  Gerhard Weikum,et al.  WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .

[38]  Roberto Navigli,et al.  Knowledge Base Unification via Sense Embeddings and Disambiguation , 2015, EMNLP.

[39]  Luigi Di Caro,et al.  Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases , 2013, ECML/PKDD.

[40]  Simone Paolo Ponzetto,et al.  WikiTaxonomy: A Large Scale Knowledge Resource , 2008, ECAI.

[41]  Jeffrey Dean,et al.  Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.

[42]  Paola Velardi,et al.  Learning Word-Class Lattices for Definition and Hypernym Extraction , 2010, ACL.

[43]  Mirella Lapata,et al.  Taxonomy Induction Using Hierarchical Random Graphs , 2012, NAACL.

[44]  Markus Krötzsch,et al.  Wikidata , 2014, Commun. ACM.

[45]  Haixun Wang,et al.  Learning Term Embeddings for Hypernymy Identification , 2015, IJCAI.

[46]  Preslav Nakov,et al.  SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals , 2009, SEW@NAACL-HLT.

[47]  Enhong Chen,et al.  A Probabilistic Model for Learning Multi-Prototype Word Embeddings , 2014, COLING.

[48]  Wanxiang Che,et al.  Learning Semantic Hierarchies via Word Embeddings , 2014, ACL.

[49]  Tiziano Flati,et al.  Two Is Bigger (and Better) Than One: the Wikipedia Bitaxonomy Project , 2014, ACL.

[50]  Grace Hui Yang,et al.  A Metric-based Framework for Automatic Taxonomy Induction , 2009, ACL.

[51]  Stefano Faralli,et al.  OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction , 2013, CL.

[52]  Roberto Navigli,et al.  Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities , 2016, Artif. Intell..

[53]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[54]  Ignacio Iacobacci,et al.  SensEmbed: Learning Sense Embeddings for Word and Relational Similarity , 2015, ACL.