Semantic role labeling using different syntactic views
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
The LIMSI Participation in the QAst Track
Advances in Multilingual and Multimodal Information Retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
The LIMSI participation in the QAst 2009 track: experimenting on answer scoring
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
The LIMSI participation in the QAst 2009 track: experimenting on answer scoring
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Sibyl, a factoid question-answering system for spoken documents
ACM Transactions on Information Systems (TOIS)
Methods combination and ML-based re-ranking of multiple hypothesis for question-answering systems
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
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We present in this paper the three LIMSI question-answering systems on speech transcripts which participated to the QAst 2009 evaluation. These systems are based on a complete and multi-level analysis of both queries and documents. These systems use an automatically generated research descriptor. A score based on those descriptors is used to select documents and snippets. Three different methods are tried to extract and score candidate answers, and we present in particular a tree transformation based ranking method. We participated to all the tasks and submitted 30 runs (for 24 sub-tasks). The evaluation results for manual transcripts range from 27% to 36% for accuracy depending on the task and from 20% to 29% for automatic transcripts.