Robust temporal processing of news
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Knowledge Representation and the Semantics of Natural Language (Cognitive Technologies)
Coreference resolution with syntactico-semantic rules and corpus statistics
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
From temporal expressions to temporal information: semantic tagging of news messages
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
Semantic interpretation of prepositions for NLP applications
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
Extending knowledge and deepening linguistic processing for the question answering system insicht
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Making stone soup: evaluating a recall-oriented multi-stream question answering system for dutch
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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The German question answering (QA) system InSicht participated in QA@CLEF for the third time. InSicht implements a deep QA approach: it builds on full sentence parses, inferences on semantic representations, and matching semantic representations derived from questions and documents. InSicht was improved for QA@CLEF 2006 as follows: temporal expressions are normalized and temporal deictic expressions are resolved to explicit date representations; the coreference module was extended by a fallback strategy for increased robustness; equivalence rules can introduce negated relations; answer candidates are clustered in order to avoid multiple occurrences of one real-world entity in the answers to a list question; and finally a shallow QA subsystem that produces a second answer stream was integrated into InSicht. The current system is evaluated in an ablation study on the German questions from QA@CLEF 2006.