Ana Licuanan

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This paper evaluates an extraction-based approach to answering definitional questions. Our system extracted useful linguistic constructs called <i>linguistic features</i> from raw text using information extraction tools and formulated answers based on such features. The features employed include appositives, copulas, structured patterns, relations,(More)
We focused on two issues: answer selection and confidence estimation. We found that some simple constraints on the candidate answers can improve a pure IR-based technique for answer selection. We also found that a few simple features derived from the questionanswer pairs can be used for effective confidence estimation. Our results also confirmed findings by(More)
We describe BBN’s Question Answering work at TREC 2002. We focus on two issues: answer selection and confidence estimation. We found that some simple constraints on the candidate answers can improve a pure IRbased technique for answer selection. We also found that a few simple features derived from the question-answer pairs can be used for effective(More)
We explore a hybrid approach for Chinese definitional question answering by combining deep linguistic analysis with surface pattern learning. We answer four questions in this study: 1) How helpful are linguistic analysis and pattern learning? 2) What kind of questions can be answered by pattern matching? 3) How much annotation is required for a(More)
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