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- 491 creator chi-wang.
- 491 creator kaushik-chakrabarti.
- 491 creator surajit-chaudhuri.
- 491 creator tao-cheng.
- 491 type InProceedings.
- 491 label "Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities".
- 491 sameAs 491.
- 491 abstract "In many entity extraction applications, the entities to be recognized are constrained to be from a list of “target entities”. In many cases, these target entities are (i) ad-hoc, i.e., do not exist in a knowledge base and (ii) homogeneous (e.g., all are IT companies, all are shoe brands). We study the following novel disambiguation problem in this unique setting: given the candidate mentions of all the target entities, determine which ones are true mentions of a target entity. Prior techniques only consider target entities present in a knowledgebase and/or having a rich set of attributes. In this paper, we develop novel techniques that requires no knowledge about the entities except their names. Our main insight is to leverage the homogeneity constraint and disambiguate the candidate mentions collectively across all documents. We propose a novel graph-based model, called MentionRank, for that purpose. Furthermore, if additional knowledge is available for some or all of the entities, our model can leverage it to further improve quality. Our experiments demonstrate the effectiveness of our model. To the best of our knowledge, this is the first work on targeted entity disambiguation for ad-hoc entities.".
- 491 hasAuthorList authorList.
- 491 isPartOf proceedings.
- 491 keyword "ad-hoc entity".
- 491 keyword "graph-based ranking".
- 491 keyword "semi-supervised".
- 491 keyword "target domain".
- 491 keyword "unsupervised".
- 491 title "Targeted Disambiguation of Ad-hoc, Homogeneous Sets of Named Entities".