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
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
Question answering using sentence parsing and semantic network matching
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Question answering pilot task at CLEF 2004
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Finding an answer to a question
Proceedings of the 2006 international workshop on Research issues in digital libraries
Adapting the JIRS Passage Retrieval System to the Arabic Language
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Semantic Decomposition for Question Answering
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Semantic interpretation of prepositions for NLP applications
Prepositions '06 Proceedings of the Third ACL-SIGSEM Workshop on Prepositions
On distance between deep syntax and semantic representation
LAC '06 Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora 2006
Logical validation, answer merging and witness selection a study in multi-stream question answering
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Interpretation and normalization of temporal expressions for question answering
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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The German question answering (QA) system InSicht participated in QA@CLEF for the second time. It relies on complete sentence parsing, inferences, and semantic representation matching. This year, the system was improved in two main directions. First, the background knowledge was extended by large semantic networks and large rule sets. Second, linguistic processing was deepened by treating a phenomenon that appears prominently on the level of text semantics: coreference resolution. A new source of lexico-semantic relations and equivalence rules has been established based on compound analyses from document parses. These analyses were used in three ways: to project lexico-semantic relations from compound parts to compounds, to establish a subordination hierarchy for compounds, and to derive equivalence rules between nominal compounds and their analytic counterparts. The lack of coreference resolution in InSicht was one major source of missing answers in QA@CLEF 2004. Therefore the coreference resolution module CORUDIS was integrated into the parsing during document processing. The central step in the QA system InSicht, matching semantic networks derived from the question parse (one by one) with document sentence networks, was generalized. Now, a question network can be split at certain semantic relations (e.g. relations for local or temporal specifications). To evaluate the different extensions, the QA system was run on all 400 German questions from QA@CLEF 2004 and 2005 with varying setups. Some extensions showed positive effects, but currently they are minor and not statistically significant. The paper ends with a discussion why improvements are not larger, yet.