Recognizing Textual Relatedness with Predicate-Argument Structures

In this paper, we first compare several strategies to handle the newly proposed three-way Recognizing Textual Entailment (RTE) task. Then we define a new measurement for a pair of texts, called Textual Relatedness, which is a weaker concept than semantic similarity or paraphrase. We show that an alignment model based on the predicate-argument structures using this measurement can help an RTE system to recognize the Unknown cases at the first stage, and contribute to the improvement of the overall performance in the RTE task. In addition, several heterogeneous lexical resources are tested, and different contributions from them are observed.

[1]  Peter Clark,et al.  The Seventh PASCAL Recognizing Textual Entailment Challenge , 2011, TAC.

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

[3]  Günter Neumann,et al.  Recognizing Textual Entailment Using a Subsequence Kernel Method , 2007, AAAI.

[4]  Eugene Agichtein,et al.  Combining Lexical, Syntactic, and Semantic Evidence for Textual Entailment Classification , 2008, TAC.

[5]  Ido Dagan,et al.  The Fourth PASCAL Recognizing Textual Entailment Challenge , 2008, TAC.

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

[7]  Paul M. B. Vitányi,et al.  The Google Similarity Distance , 2004, IEEE Transactions on Knowledge and Data Engineering.

[8]  Stefan Thater,et al.  A Semantic Approach To Textual Entailment: System Evaluation and Task Analysis , 2007, ACL-PASCAL@ACL.

[9]  Dekang Lin,et al.  DIRT – Discovery of Inference Rules from Text , 2001 .

[10]  Eric Yeh,et al.  Deciding Entailment and Contradiction with Stochastic and Edit Distance-based Alignment , 2008, TAC.

[11]  Peter Clark,et al.  Recognizing Textual Entailment with Logical Inference , 2008, TAC.

[12]  Patrick Pantel,et al.  DIRT @SBT@discovery of inference rules from text , 2001, KDD '01.

[13]  Fernando Pereira,et al.  Non-Projective Dependency Parsing using Spanning Tree Algorithms , 2005, HLT.

[14]  John B. Lowe,et al.  The Berkeley FrameNet Project , 1998, ACL.

[15]  Richard Johansson,et al.  The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages , 2009, CoNLL Shared Task.

[16]  Sanda M. Harabagiu,et al.  Methods for Using Textual Entailment in Open-Domain Question Answering , 2006, ACL.

[17]  Chris Callison-Burch,et al.  Syntactic Constraints on Paraphrases Extracted from Parallel Corpora , 2008, EMNLP.

[18]  Richard Johansson,et al.  The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies , 2008, CoNLL.

[19]  Yi Zhang,et al.  Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources , 2008, CoNLL.

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

[21]  Christopher D. Manning,et al.  Finding Contradictions in Text , 2008, ACL.

[22]  Leila Kosseim,et al.  Using Ontology Alignment for the TAC RTE Challenge , 2008, TAC.

[23]  Christopher D. Manning,et al.  A Phrase-Based Alignment Model for Natural Language Inference , 2008, EMNLP.