Paper: Integrating Linguistic Knowledge In Passage Retrieval For Question Answering

ACL ID H05-1118
Title Integrating Linguistic Knowledge In Passage Retrieval For Question Answering
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2005
Authors

In this paper we investigate the use of lin- guistic knowledge in passage retrieval as part of an open-domain question answer- ing system. We use annotation produced by a deep syntactic dependency parser for Dutch, Alpino, to extract various kinds of linguistic features and syntactic units to be included in a multi-layer index. Sim- ilar annotation is produced for natural lan- guage questions to be answered by the system. From this we extract query terms to be sent to the enriched retrieval index. We use a genetic algorithm to optimize the selection of features and syntactic units to be included in a query. This algo- rithm is also used to optimize further pa- rameters such as keyword weights. The system is trained on questions from the competition on Dutch question answering within the Cr...