AORTE for Recognizing Textual Entailment

In this paper we present the use of the AORTE system in recognizing textual entailment. AORTE allows the automatic acquisition and alignment of ontologies from text. The information resulted from aligning ontologies created from text fragments is used in classifying textual entailment. We further introduce the set of features used in classifying textual entailment. At the TAC RTE4 challenge the system evaluation yielded an accuracy of 68% on the two-way task, and 61% on the three way task using a simple decision tree classifier.

[1]  Patrick Pantel,et al.  VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations , 2004, EMNLP.

[2]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[3]  Fredric C. Gey,et al.  ENSM-SE at CLEF 2006 : Fuzzy Proximity Method with an Adhoc Influence Function in Evaluation of Multilingual and Multi-modal Information Retrieval 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain , 2007 .

[4]  York Sure-Vetter,et al.  Evaluation of Ontology-based Tools (EON 2003) : Proceedings of the 2nd International Workshop on Evaluation of Ontology-based Tools, held at the 2nd International Semantic Web Conference ISWC 2003, 20th October 2003 (Workshop day), Sundial Resort, Sanibel Island, Florida, USA , 2003 .

[5]  Andrew Hickl,et al.  A Discourse Commitment-Based Framework for Recognizing Textual Entailment , 2007, ACL-PASCAL@ACL.

[6]  Rada Mihalcea,et al.  A knowledge-based approach to text-to-text similarity , 2007 .

[7]  Rada Mihalcea,et al.  Text Semantic Similarity, with Applications , 2005 .

[8]  Dan I. Moldovan,et al.  Automatic Answer Validation using COGEX , 2006, CLEF.

[9]  Kentaro Inui,et al.  Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing , 2007, ACL 2007.

[10]  Lora Aroyo,et al.  The Semantic Web: Research and Applications , 2009, Lecture Notes in Computer Science.

[11]  Leila Kosseim,et al.  RoDEO : Reasoning over Dependencies Extracted Online , 2008 .

[12]  J. M. Cohen,et al.  Mexico City : México , 1965 .

[13]  Richard Evans,et al.  A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method , 2002, CICLing.

[14]  Bernardo Magnini,et al.  Tree edit distance for textual entailment , 2007 .

[15]  Volker Haarslev,et al.  Racer: A Core Inference Engine for the Semantic Web , 2003, EON.

[16]  Dekang Lin,et al.  Dependency-Based Evaluation of Minipar , 2003 .

[17]  Galia Angelova,et al.  Recent Advances in Natural Language Processing IV: Selected papers from RANLP 2005 , 2007 .

[18]  Fausto Giunchiglia,et al.  S-Match: an Algorithm and an Implementation of Semantic Matching , 2004, ESWS.

[19]  Ido Dagan,et al.  The Third PASCAL Recognizing Textual Entailment Challenge , 2007, ACL-PASCAL@ACL.

[20]  John Davies,et al.  The Semantic Web: Research and Applications: First European Semantic Web Symposium, ESWS 2004, Heraklion, Crete, Greece, May 10-12, 2004, Proceedings , 2004 .

[21]  Alexander Gelbukh,et al.  Computational Linguistics and Intelligent Text Processing , 2015, Lecture Notes in Computer Science.

[22]  Ido Dagan,et al.  PROBABILISTIC TEXTUAL ENTAILMENT: GENERIC APPLIED MODELING OF LANGUAGE VARIABILITY , 2004 .

[23]  Christoph Bussler The semantic Web : research and applications : first European Semantic Web Symposium, ESWS 2004, Heraklion, Crete, Greece, May 10-12, 2004 : proceedings , 2004 .