Wikipedia-Similarity
From WikiPapers
| Wikipedia-Similarity (Alternative names for this tool) | |
| Keyword(s) | Unknown [+] |
| Operating system(s) | Unknown [+] |
| Language(s) | Unknown [+] |
| Programming language(s) | Unknown [+] |
| Author(s) | Unknown [+] |
| License(s) | Unknown [+] |
| Website | http://www.h-its.org/english/research/nlp/download/wikipediasimilarity.php |
| Related material | |
| Related tool(s) | Unknown [+] |
| Related dataset(s) | Unknown [+] |
| Search | |
| Google Scholar | |
| Export and share | |
| BibTeX, CSV, RDF, JSON | |
      
| |
| Browse properties · List of tools | |
Wikipedia-Similarity ...
Publications
| Title | Author(s) | Keyword(s) | Published in | Language | DateThis property is a special property in this wiki. | Abstract |
|---|---|---|---|---|---|---|
| Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution | Simone Paolo Ponzetto Michael Strube |
Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics | English | 2006 | In this paper we present an extension of a machine learning based coreference resolution system which uses features induced from different semantic knowledge sources. These features represent knowledge mined from WordNet and Wikipedia, as well as information about semantic role labels. We show that semantic features indeed improve the performance on different referring expression types such as pronouns and common nouns. | |
| WikiRelate! Computing Semantic Relatedness Using Wikipedia | Michael Strube Simone Paolo Ponzetto |
English | 2006 |
