Searching for "Mean Reciprocal Rank." – sorted by Relevance.
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The Effectiveness of Dictionary and Web-Based Answer Reranking
- % in mean reciprocal rank score and 14% in finding answers in the top 5. 1 Introduction In an attempt
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The Impact of Syntactic Evidence On The Effectiveness of Question Answering
- can perform about 8% better than the ranking heuristics on their own in terms of mean reciprocal rank
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Web-Based Unsupervised Learning for Query Formulation in Question Answering
- approach outperforms a naive keywordbased approach in terms of mean reciprocal rank and human effort. 1
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SiteQ/J: AQuestion Answering System for Japanese
- evaluated by mean reciprocal rank (MRR) in NTCIR 3. Keywords: question answering, passage selection, lexico
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SHAPAQA: Shallow Parsing for Question Answering on the World Wide Web
- . This mean reciprocal rank (MRR) metric was also used in TREC. The results are shown in the first two columns
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Sanchis: TPIRS: A System for Document Indexing Reduction on WebCLEF, Extended abstract in Working notes of CLEF’05, Viena
- to determine the best one. We observed that after reducing the 82.55% of the corpus, a Mean Reciprocal Rank
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Evaluating High Accuracy Retrieval Techniques
- the mean reciprocal rank (MRR) of the first relevant result. We evaluate three different methods
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An empirical comparison of text categorization methods
- variations of the Vector and LSA models. We report the results obtained using the Mean Reciprocal Rank as a
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Improving passage retrieval in question answering using NLP
- ). The optimization yielded a significant improvement of about 19% in mean reciprocal rank scores on unseen evaluation
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Rijke. Overview of the WiQA task at CLEF 2006
- -able as participants achieved impressive scores as measured in terms of yield, mean reciprocal rank, and precision, (ii
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