Using Encyclopedic Knowledge for Named Entity Disambiguation
Impact in
Classified as
- Authors
- Răzvan BunescuMarius Paşca
- Journal
- Conference of the European Chapter of the Association for Computational Linguistics
In The Last Decade
doi.org/w5486673 →Countries where authors are citing Using Encyclopedic Knowledge for Named Entity Disambiguation
This map shows the geographic impact of Using Encyclopedic Knowledge for Named Entity Disambiguation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Using Encyclopedic Knowledge for Named Entity Disambiguation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Using Encyclopedic Knowledge for Named Entity Disambiguation more than expected).
Fields of papers citing Using Encyclopedic Knowledge for Named Entity Disambiguation
This network shows the impact of Using Encyclopedic Knowledge for Named Entity Disambiguation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Using Encyclopedic Knowledge for Named Entity Disambiguation.
About Using Encyclopedic Knowledge for Named Entity Disambiguation
This paper, published in 2006, received 487 indexed citations . Written by Răzvan Bunescu and Marius Paşca covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (462 citations), Management Science and Operations Research (115 citations), Information Systems (110 citations), Communication (76 citations) and Molecular Biology (43 citations). Published in Conference of the European Chapter of the Association for Computational Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w5486673.