Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval 2016
DOI: 10.1145/2970398.2970406
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Exploiting Entity Linking in Queries for Entity Retrieval

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Cited by 64 publications
(48 citation statements)
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“…On the other hand, Probabilistic Retrieval Model for Semistructured Data (PRMS) [10] weights query terms according to document collection statistics for the better retrieval performance. To further leverage the entity based interactions between the query and candidate entities, some works [9] calculate the entity mention based exact match feature between query and candidate entities. State-of-theart learning to rank models, such as Coordinate Ascent and RankSVM, provide an opportunity to combine features from different models and different fields, which achieves the state-of-the-art for entity retrieval [6].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…On the other hand, Probabilistic Retrieval Model for Semistructured Data (PRMS) [10] weights query terms according to document collection statistics for the better retrieval performance. To further leverage the entity based interactions between the query and candidate entities, some works [9] calculate the entity mention based exact match feature between query and candidate entities. State-of-theart learning to rank models, such as Coordinate Ascent and RankSVM, provide an opportunity to combine features from different models and different fields, which achieves the state-of-the-art for entity retrieval [6].…”
Section: Related Workmentioning
confidence: 99%
“…The entity mention based exact match feature is introduced by Entity Linking incorporated Retrieval model (ELR) [9] and shows its effectiveness by improving the baseline with Coordinate Ascent and RankSVM almost 1% and 4% for the whole data. Then +ELR model shows a significant improvement on the ListSearch test scenario.…”
Section: Overall Performancementioning
confidence: 99%
“…is includes approaches that tap into linguistic knowledge bases such as WordNet [24,31], as well as retrieval and scoring methods that use entity link annotations (i.e., annotations connecting the mentions of entities to knowledge base entries) for term matching and query expansion [9,19,39]. Combinations of knowledge base retrieval and entity linking methods have been studied for web search queries both for entity ranking tasks [38,42] as well as document ranking tasks [12,29,48].…”
Section: Current Limitationsmentioning
confidence: 99%
“…In addition, we see how both elections and political crises are di cult to track, especially e popular opposition to Ethiopia's current corrupt regime is comparable to the Orange Revolution in Ukraine and the brave Lebanese demonstrators who removed the Syrian puppet regime in their country. 19 …”
Section: Baselinesmentioning
confidence: 99%
“…NEL is a component of query understanding (Pound et al, 2012) over KGs for annotating entities in queries for further query classification (Shen et al, 2006) or query interpretation (Sawant and Chakrabarti, 2013). Hasibi et al (Hasibi et al, 2016) exploit the NEL problem with entity retrieval problem jointly in order to improve the search performance. The efficiency problem of linking entities in queries has been studied in (Blanco et al, 2015) by introducing a probabilistic model, as well as hashing and compression techniques.…”
Section: Named Entity Recognition (Ner) Is An Important Sub-task Of Imentioning
confidence: 99%