Entity Mention Recognition and Linking Task
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An Entity Mention Recognition and Linking Task is an word mention recognition and linking task that is restricted to entity mentions (and combines entity mention recognition and entity mention linking).
- Context:
- It can be solved by an Entity Mention Recognition and Linking System.
- …
- Example(s):
- Counter-Example(s):
- See: Entity Mention Recognition System, Entity Mention Linking System, Wikification Task.
References
2014
- http://dl.acm.org/citation.cfm?id=2633211&picked=prox
- With the emerging focus of search engines on semantic search, there is a growing need to understand queries and documents not only syntactically, but semantically as well. Over the recent years, major search engines have redesigned their output to accommodate some semantic information about the entities recognized in queries and search results. Recent information retrieval studies published in SIGIR have also paid a significant amount of attention to entity-related research. However, techniques for accurate entity recognition and disambiguation are still far from perfect. The motivation of this workshop is to advance the state of the art in entity recognition and disambiguation for both long and short web documents.
2012
- (Lin, Mausam & Etzioni, 2012) ⇒ Thomas Lin, Mausam, and Oren Etzioni. (2012). “No Noun Phrase Left Behind: Detecting and Typing Unlinkable Entities.” In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing, and Computational Natural Language Learning (EMNLP-CoNLL, 2012).
2010
- (Melli, 2010b) ⇒ Gabor Melli. (2010). “Supervised Ontology to Document Interlinking..” Ph.D. Thesis, Simon Fraser University.
- (Melli & Ester, 2010) ⇒ Gabor Melli, and Martin Ester. (2010). “Supervised Identification and Linking of Concept Mentions to a Domain-Specific Ontology.” In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM 2010). doi:10.1145/1871437.1871712