Entity-based cross-document coreferencing using the Vector Space Model
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
The SemEval-2007 WePS evaluation: establishing a benchmark for the web people search task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Web People Search with Domain Ranking
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
The role of named entities in web people search
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Unsupervised name ambiguity resolution using a generative model
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
Context-driven semantic enrichment of italian news archive
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
| Hi-index | 0.00 |
In this paper we describe a person clustering system for web pages and report the results we have obtained on the test set of the Semeval 2007 Web Person Search task. Deciding which particular person a name refers to within a text document depends mainly on the capacity to extract the relevant information out of texts when it is present. We consider "relevant" here to stand primarily for two properties: (1) uniqueness and (2) appropriateness. In order to address both (1) and (2) our method gives primary importance to Name Entities (NEs), defined according to the ACE specifications. The common nouns not referring to entities are considered further as coreference clues only if they are found within already coreferred documents.