Integrating Rhetorical-Semantic Relation Models for Query-Focused Summarization

We present our recent work on query-focused summarization, focusing on our efforts in building and applying models of rhetorical-semantic relations (RSRs) such as contrast and causality. We overview ongoing work in extracting and evaluating RSR models. We describe our system for query-focused summarization, focusing on an enhanced, feature-based framework. We present results of experiments to measure the impact of both RSR and other features on selection and ordering of summary content. We conclude with an overview of results from the official DUC06 evaluation.

[1]  Jeannett Martin,et al.  English Text: System and structure , 1992 .

[2]  Vasudeva Varma,et al.  A Relevance-Based Language Modeling approach to DUC 2005 , 2005 .

[3]  Daniel Marcu,et al.  An Unsupervised Approach to Recognizing Discourse Relations , 2002, ACL.

[4]  Johanna D. Moore,et al.  Discourse in Computational Linguistics and Artificial Intelligence , 2003 .

[5]  David Evans,et al.  Columbia University at DUC 2004 , 2004 .

[6]  Candace L. Sidner,et al.  Attention, Intentions, and the Structure of Discourse , 1986, CL.

[7]  Daniel Marcu,et al.  The rhetorical parsing, summarization, and generation of natural language texts , 1998 .

[8]  Sasha Blair-Goldensohn From Definitions to Complex Topics: Columbia University at DUC 2005 , 2005 .

[9]  Eduard Hovy,et al.  Parsimonious or Profligate: How Many and Which Discourse Structure Relations? , 1992 .

[10]  Daniel Marcu,et al.  The rhetorical parsing of unrestricted texts: a surface-based approach , 2000, CL.

[11]  Mirella Lapata,et al.  Probabilistic Text Structuring: Experiments with Sentence Ordering , 2003, ACL.

[12]  Johanna D. Moore,et al.  Toward a Synthesis of Two Accounts of Discourse Structure , 1996, CL.

[13]  David Reitter,et al.  The Embra System at DUC 2005: Query-oriented Multi-document Summarization with a Very Large Latent Semantic Space , 2005 .

[14]  Regina Barzilay,et al.  Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization , 2004, NAACL.

[15]  Peter W. Foltz,et al.  The Measurement of Textual Coherence with Latent Semantic Analysis. , 1998 .

[16]  Tristan Miller,et al.  Latent semantic analysis and the construction of coherent extracts , 2003, RANLP.

[17]  Daniel Marcu,et al.  Towards Automatic Classification of Discourse Elements in Essays , 2001, ACL.

[18]  Johanna D. Moore,et al.  Planning Text for Advisory Dialogues: Capturing Intentional and Rhetorical Information , 1993, CL.

[19]  Jerry R. Hobbs Coherence and Coreference , 1979, Cogn. Sci..

[20]  William C. Mann,et al.  Rhetorical Structure Theory: Toward a functional theory of text organization , 1988 .

[21]  Sasha Blair-Goldensohn,et al.  Answering Definitional Questions: A Hybrid Approach , 2004, New Directions in Question Answering.

[22]  Kathleen McKeown,et al.  Text generation: using discourse strategies and focus constraints to generate natural language text , 1985 .