Automated reasoning: 33 BASIC research problems
Automated reasoning: 33 BASIC research problems
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Structural ambiguity and lexical relations
Computational Linguistics - Special issue on using large corpora: I
Lexical chains for question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
COGEX: a logic prover for question answering
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Assigning time-stamps to event-clauses
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
Question answering with lexical chains propagating verb arguments
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A logic-based semantic approach to recognizing textual entailment
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Temporal reasoning about fuzzy intervals
Artificial Intelligence
Acquiring Vague Temporal Information from the Web
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Temporal classification of text and automatic document dating
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Automatic dating of documents and temporal text classification
ARTE '06 Proceedings of the Workshop on Annotating and Reasoning about Time and Events
Extending TimeML with typical durations of events
ARTE '06 Proceedings of the Workshop on Annotating and Reasoning about Time and Events
Using visual context and region semantics for high-level concept detection
IEEE Transactions on Multimedia - Special issue on integration of context and content
A framework for reasoning under uncertainty with temporal constraints
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Qme!: a speech-based question-answering system on mobile devices
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Speech-driven access to the deep web on mobile devices
ACLDemos '10 Proceedings of the ACL 2010 System Demonstrations
Editorial: Introduction to the special issue on question answering
Information Processing and Management: an International Journal
Time dimension in the dolphin nick knowledge base using transparent intensional logic
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
Context-sensitive user interfaces for semantic services
ACM Transactions on Internet Technology (TOIT)
LCC's poweranswer at QA@CLEF 2006
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Automatic answer validation using COGEX
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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This paper demonstrates how a model for temporal context reasoning can be implemented. The approach is to detect temporally related events in natural language text and convert the events into an enriched logical representation. Reasoning is provided by a first order logic theorem prover adapted to text. Results show that temporal context reasoning boosts the performance of a Question Answering system.