Discovery of inference rules for question-answering
Natural Language Engineering
Bulgarian-english question answering: adaptation of language resources
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
Towards the automatic extraction of definitions in Slavic
ACL '07 Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies
Question classification for a Croatian QA system
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
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This paper describes the architecture of a Bulgarian– Bulgarian question answering system — BulQA. The system relies on a partially parsed corpus for answer extraction. The questions are also analyzed partially. Then on the basis of the analysis some queries to the corpus are created. After the retrieval of the documents that potentially contain the answer, each of them is further processed with one of several additional grammars. The grammar depends on the question analysis and the type of the question. At present these grammars can be viewed as patterns for the type of questions, but our goal is to develop them further into a deeper parsing system for Bulgarian.