Logistic Regression for IR4QA
نویسنده
چکیده
منابع مشابه
High Baseline Japanese Information Retrieval for Question-Answering
For NTCIR Workshop 7 UC Berkeley participated in IR4QA (Information Retrieval for Question Answering) as well as the Patent Mining tracks. For IR4QA we only did Japanese monolingual search. Our focus was thus upon Japanese topic search against the Japanese News document collection as in past NTCIR participations. We preprocessed the text using the ChaSen morphological analyzer for term segmenta...
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This paper presents an overview of the IR4QA (Information Retrieval for Question Answering) Task of the NTCIR-7 ACLIA (Advanced Cross-lingual Information Access) Task Cluster. IR4QA evaluates traditional ranked retrieval of documents using wellstudied metrics such as Average Precision, but the retrieval task is embedded in the context of cross-lingual question answering. That is, document retri...
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The ACLIA IR4QA Task at NTCIR-7 is an ad hoc document retrieval task involving three document languages. Although IR4QA used pooling for collecting relevance assessments, it was unique in that the pooled documents were sorted before presenting them to the assessors, based on the assumption that “popular” documents are more likely to be relevant than others. We show that this assumption is indee...
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This document is a postscript to the Overview of the NTCIR-7 ACLIA IR4QA Task [2]. At the NTCIR7 Workshop Meeting (December 2008), participating systems of IR4QA were evaluated based on “qrels version 1,” which covered the depth-30 pool for every topic and went further down the pool for a limited number of topics. Here, we report on revised results based on “qrels version 2” which covers the de...
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This paper describes our work in NTCIR-7 on the subtask of simplified Chinese monolingual information retrieval for question answering (CS-CS IR4QA). Based on the observation that inappropriate key terms and term mismatch often result in depressed precision and impressive recall, we employ a special question analysis method extracting more appropriate key terms and apply the query expansion tec...
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