Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
First story detection using a composite document representation
HLT '01 Proceedings of the first international conference on Human language technology research
TREC: Experiment and Evaluation in Information Retrieval (Digital Libraries and Electronic Publishing)
Optimizing scoring functions and indexes for proximity search in type-annotated corpora
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Improving novelty detection for general topics using sentence level information patterns
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A translation model for sentence retrieval
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Ranking very many typed entities on wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
'Show me more': Incremental length summarisation using novelty detection
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Inferring the most important types of a query: a semantic approach
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Overview of the INEX 2007 Entity Ranking Track
Focused Access to XML Documents
Predicting the readability of short web summaries
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Locally contextualized smoothing of language models for sentiment sentence retrieval
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion
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Foundations and Trends in Information Retrieval
Highly frequent terms and sentence retrieval
SPIRE'07 Proceedings of the 14th international conference on String processing and information retrieval
Computing information retrieval performance measures efficiently in the presence of tied scores
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Ranking related news predictions
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A case for semantic full-text search
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
You should read this! let me explain you why: explaining news recommendations to users
Proceedings of the 21st ACM international conference on Information and knowledge management
Position-based contextualization for passage retrieval
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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We study the problem of finding sentences that explain the relationship between a named entity and an ad-hoc query, which we refer to as entity support sentences. This is an important sub-problem of entity ranking which, to the best of our knowledge, has not been addressed before. In this paper we give the first formalization of the problem, how it can be evaluated, and present a full evaluation dataset. We propose several methods to rank these sentences, namely retrieval-based, entity-ranking based and position-based. We found that traditional bag-of-words models perform relatively well when there is a match between an entity and a query in a given sentence, but they fail to find a support sentence for a substantial portion of entities. This can be improved by incorporating small windows of context sentences and ranking them appropriately.