Abductive Inference for Interpretation of Metaphors

This paper presents a metaphor interpretation pipeline based on abductive inference. In this framework following (Hobbs, 1992) metaphor interpretation is modelled as a part of the general discourse processing problem, such that the overall discourse coherence is supported. We present an experimental evaluation of the proposed approach using linguistic data in English and Russian.

[1]  Jerry R. Hobbs.  Metaphor and Abduction , 1992 .

[2]  Catherine Havasi,et al.  ConceptNet 3 : a Flexible , Multilingual Semantic Network for Common Sense Knowledge , 2007 .

[3]  Catherine Havasi,et al.  ConceptNet 5: A Large Semantic Network for Relational Knowledge , 2013, The People's Web Meets NLP.

[4]  Serge Sharoff,et al.  The proper place of men and machines in language technology Processing Russian without any linguistic knowledge , 2011 .

[5]  David Wible,et al.  Word similarity using constructions as contextual features , 2013, JSSP.

[6]  G. Lakoff,et al.  Metaphors We Live by , 1981 .

[7]  Ekaterina Shutova,et al.  Automatic Metaphor Interpretation as a Paraphrasing Task , 2010, NAACL.

[8]  Joakim Nivre,et al.  MaltParser: A Data-Driven Parser-Generator for Dependency Parsing , 2006, LREC.

[9]  Mark Lee,et al.  An Artificial Intelligence Approach to Metaphor Understanding , 2007 .

[10]  Eduard H. Hovy,et al.  Filling Knowledge Gaps in Text for Machine Reading , 2010, COLING.

[11]  Rodrigo Agerri,et al.  Metaphor, Inference and Domain Independent Mappings , 2007 .

[12]  Jerry R. Hobbs.  Ontological Promiscuity , 1985, ACL.

[13]  Anna Korhonen,et al.  Unsupervised Metaphor Paraphrasing using a Vector Space Model , 2012, COLING.

[14]  Srinivas Narayanan,et al.  Moving Right Along: A Computational Model of Metaphoric Reasoning about Events , 1999, AAAI/IAAI.

[15]  Tony Veale,et al.  A Fluid Knowledge Representation for Understanding and Generating Creative Metaphors , 2008, COLING.

[16]  Peter Clark,et al.  Large-scale extraction and use of knowledge from text , 2009, K-CAP '09.

[17]  Mark Steedman,et al.  Wide-Coverage Semantic Representations from a CCG Parser , 2004, COLING.

[18]  Kentaro Inui,et al.  Large-Scale Cost-Based Abduction in Full-Fledged First-Order Predicate Logic with Cutting Plane Inference , 2012, JELIA.

[19]  Jerry R. Hobbs.  Toward a Useful Concept of Causality for Lexical Semantics , 2005, J. Semant..

[20]  G. Lakoff,et al.  Women, Fire, and Dangerous Things: What Categories Reveal about the Mind , 1988 .

[21]  Alessandro Lenci,et al.  Concepts and properties in word spaces , 2008 .