An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Answering English questions by computer: a survey
Communications of the ACM
Learn - Filter - Apply - Forget. Mixed Approaches to Named Entity Recognition
NLDB'01 Proceedings of the 6th International Workshop on Applications of Natural Language to Information Systems
Lucene in Action (In Action series)
Lucene in Action (In Action series)
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Building a reusable test collection for question answering
Journal of the American Society for Information Science and Technology - Research Articles
Overview of the CLEF 2005 multilingual question answering track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
Finnish as source language in bilingual question answering
CLEF'04 Proceedings of the 5th conference on Cross-Language Evaluation Forum: multilingual Information Access for Text, Speech and Images
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This paper presents a question answering (QA) system called Tikka. Tikka’s approach to QA is based on question classification, semantic annotation and answer extraction pattern matching. Tikka’s performance is evaluated by conducting experiments in the following tasks: monolingual Finnish and French and bilingual Finnish-English QA. Tikka is the first system ever reported to perform monolingual textual QA in the Finnish language. This is also the task in which its performance is best: 23 % of all questions are answered correctly. Tikka’s performance in the monolingual French task is a little inferior to its performance in the monolingual Finnish task, and when compared to the other systems evaluated with the same data in the same task, its performance is near the average. In the bilingual Finnish-English task, Tikka was the only participating system, and – as is expected – its performance was inferior to those attained in the monolingual tasks.