Searcher adaptation: A response to topic difficulty
نویسندگان
چکیده
منابع مشابه
Sensitivity of IR systems Evaluation to Topic Difficulty
The difficulty of the topics or queries is one of important factors in evaluating information retrieval (IR) systems. This paper analyzes the differences of system ranking affected by the topic difficulty using a test collection ’NTCIR-1,’ which is constructed for evaluating Japanese IR systems and composed of (1) the topics, (2) the document database, and (3) the lists of relevant judgments. F...
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Entity ranking has recently emerged as a research field that aims at retrieving entities as answers to a query. Unlike entity extraction where the goal is to tag the names of the entities in documents, entity ranking is primarily focused on returning a ranked list of relevant entity names for the query. Many approaches to entity ranking have been proposed, and most of them were evaluated on the...
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Advances in topic modeling have yielded effective methods for characterizing the latent semantics of textual data. However, applying standard topic modeling approaches to sentence-level tasks introduces a number of challenges. In this paper, we adapt the approach of latent-Dirichlet allocation to include an additional layer for incorporating information about the sentence boundaries in document...
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The sentence The secretary began the memo requires specifying what event the secretary began, because the memo does not refer to an event. McElree, Traxler, Pickering, Seely, and Jackendoff (2001) and Traxler, Pickering, and McElree (2002) found evidence from both self-paced reading and eye-tracking that such sentences caused processing difficulty, and thus argued that people "coerced" the obje...
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ژورنال
عنوان ژورنال: Proceedings of the American Society for Information Science and Technology
سال: 2008
ISSN: 0044-7870
DOI: 10.1002/meet.2008.1450450381