Answering contextual questions based on ontologies and question templates

Contextual question answering (CQA), in which user information needs are satisfied through an interactive question answering (QA) dialog, has recently attracted more research attention. One challenge is to fuse contextual information into the understanding process of relevant questions. In this paper, a discourse structure is proposed to maintain semantic information, and approaches for recognition of relevancy type and fusion of contextual information according to relevancy type are proposed. The system is evaluated on real contextual QA data. The results show that better performance is achieved than a baseline system and almost the same performance as when these contextual phenomena are resolved manually. A detailed evaluation analysis is presented.

[1]  C. L. Sidner,et al.  Attention, Intention and the Structure of Discourse. Technical Report No. 380. , 1986 .

[2]  Katunobu Itou,et al.  Question Answering Experiments at NTCIR-5: Acquisition of Answer Evaluation Patterns and Context Processing using Passage Retrieval , 2005, NTCIR.

[3]  Suresh Manandhar,et al.  User Modelling for Personalized Question Answering , 2007, AI*IA.

[4]  Jun-ichi Fukumoto,et al.  Answering Questions of IAD Task using Reference Resolution of Follow-up Questions , 2005, NTCIR.

[5]  Suresh Manandhar,et al.  Implementing clarification dialogues in open domain question answering , 2005, Natural Language Engineering.

[6]  Raffaella Bernardi,et al.  Analyzing Interactive QA Dialogues Using Logistic Regression Models , 2009, AI*IA.

[7]  Tatsunori Mori,et al.  Answering Contextual Questions Based on the Cohesion with Knowledge , 2006, ICCPOL.

[8]  Joyce Yue Chai,et al.  Towards intelligent QA interfaces: discourse processing for context questions , 2006, IUI '06.

[9]  Rieks op den Akker,et al.  Follow-up question handling in the IMIX and Ritel systems: A comparative study , 2009, Natural Language Engineering.

[10]  N. F. Noy,et al.  Ontology Development 101: A Guide to Creating Your First Ontology , 2001 .

[11]  Ellen M. Voorhees,et al.  Overview of the TREC 2004 Novelty Track. , 2005 .

[12]  Arne Jönsson,et al.  Empirical Studies Of Discourse Representations For Natural Language Interfaces , 1989, EACL.

[13]  Ellen M. Voorhees,et al.  The Tenth Text REtrieval Conference, TREC 2001 | NIST , 2002 .

[14]  Junlan Feng,et al.  A Data Driven Approach to Relevancy Recognition for Contextual Question Answering , 2006, HLT-NAACL 2006.

[15]  Raffaella Bernardi,et al.  Towards an Empirically Motivated Typology of Follow-Up Questions: The Role of Dialogue Context , 2010, SIGDIAL Conference.

[16]  Suresh Manandhar,et al.  Adaptivity in Question Answering with User Modelling and a Dialogue Interface , 2006, EACL.

[17]  Tsuneaki Kato,et al.  Handling Information Access Dialogue through QA Technologies - A novel challenge for open-domain question answering , 2004 .

[18]  Suresh Manandhar,et al.  Designing an interactive open-domain question answering system , 2009, Natural Language Engineering.

[19]  Raffaella Bernardi,et al.  Context Fusion: The Role of Discourse Structure and Centering Theory , 2010, LREC.

[20]  Jaime G. Carbonell,et al.  Discourse Pragmatics and Ellipsis Resolution in Task-Oriented Natural Language Interfaces , 1983, ACL.

[21]  Joyce Chai,et al.  Discourse Structure for Context Question Answering , 2004, HLT-NAACL 2004.

[22]  Noriko Kando,et al.  Are open-domain question answering technologies useful for information access dialogues?---an empirical study and a proposal of a novel challenge , 2005, TALIP.

[23]  J. Hobbs.  On the coherence and structure of discourse , 1985 .

[24]  William C. Mann,et al.  RHETORICAL STRUCTURE THEORY: A THEORY OF TEXT ORGANIZATION , 1987 .

[25]  Uwe Reyle,et al.  From discourse to logic , 1993 .

[26]  Bonnie L. Webber,et al.  Special issue on interactive question answering: Introduction , 2009, Natural Language Engineering.

[27]  D. S. Wang.  A Domain-Specific Question Answering System Based on Ontology and Question Templates , 2010, 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.