emnlp emnlp2011 emnlp2011-116 emnlp2011-116-reference knowledge-graph by maker-knowledge-mining
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Author: Johannes Hoffart ; Mohamed Amir Yosef ; Ilaria Bordino ; Hagen Furstenau ; Manfred Pinkal ; Marc Spaniol ; Bilyana Taneva ; Stefan Thater ; Gerhard Weikum
Abstract: Disambiguating named entities in naturallanguage text maps mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base such as DBpedia or YAGO. This paper presents a robust method for collective disambiguation, by harnessing context from knowledge bases and using a new form of coherence graph. It unifies prior approaches into a comprehensive framework that combines three measures: the prior probability of an entity being mentioned, the similarity between the contexts of a mention and a candidate entity, as well as the coherence among candidate entities for all mentions together. The method builds a weighted graph of mentions and candidate entities, and computes a dense subgraph that approximates the best joint mention-entity mapping. Experiments show that the new method significantly outperforms prior methods in terms of accuracy, with robust behavior across a variety of inputs.
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