Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge

From Wikipedia Quality
Jump to: navigation, search
Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge
Authors
Xianpei Han
Jun Q. Zhao
Publication date
2009
ISBN
978-160558512-3
DOI
10.1145/1645953.1645983
Links

Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge - scientific work about Wikipedia quality published in 2009, written by Xianpei Han and Jun Q. Zhao.

Overview

Name ambiguity problem has raised an urgent demand for efficient, high-quality named entity disambiguation methods. The key problem of named entity disambiguation is to measure the similarity between occurrences of names. The traditional methods measure the similarity using the bag of words (BOW) model. The BOW, however, ignores all the semantic relations such as social relatedness between named entities, associative relatedness between concepts, polysemy and synonymy between key terms. So the BOW cannot reflect the actual similarity. Some research has investigated social networks as background knowledge for disambiguation. Social networks, however, can only capture the social relatedness between named entities, and often suffer the limited coverage problem. To overcome the previous methods' deficiencies, this paper proposes to use Wikipedia as the background knowledge for disambiguation, which surpasses other knowledge bases by the coverage of concepts, rich semantic information and up-to-date content. By leveraging Wikipedia's semantic knowledge like social relatedness between named entities and associative relatedness between concepts, authors can measure the similarity between occurrences of names more accurately. In particular, authors construct a large-scale semantic network from Wikipedia, in order that the semantic knowledge can be used efficiently and effectively. Based on the constructed semantic network, a novel similarity measure is proposed to leverage Wikipedia semantic knowledge for disambiguation. The proposed method has been tested on the standard WePS data sets. Empirical results show that the disambiguation performance of their method gets 10.7% improvement over the traditional BOW based methods and 16.7% improvement over the traditional social network based methods.

Embed

Wikipedia Quality

Han, Xianpei; Zhao, Jun Q.. (2009). "[[Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge]]". International Conference on Information and Knowledge Management, Proceedings 2009, pp. 215-224. ISBN: 978-160558512-3. DOI: 10.1145/1645953.1645983.

English Wikipedia

{{cite journal |last1=Han |first1=Xianpei |last2=Zhao |first2=Jun Q. |title=Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge |date=2009 |isbn=978-160558512-3 |doi=10.1145/1645953.1645983 |url=https://wikipediaquality.com/wiki/Named_Entity_Disambiguation_by_Leveraging_Wikipedia_Semantic_Knowledge |journal=International Conference on Information and Knowledge Management, Proceedings 2009, pp. 215-224}}

HTML

Han, Xianpei; Zhao, Jun Q.. (2009). &quot;<a href="https://wikipediaquality.com/wiki/Named_Entity_Disambiguation_by_Leveraging_Wikipedia_Semantic_Knowledge">Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge</a>&quot;. International Conference on Information and Knowledge Management, Proceedings 2009, pp. 215-224. ISBN: 978-160558512-3. DOI: 10.1145/1645953.1645983.