Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models

Author:

Mulang' Isaiah Onando1,Singh Kuldeep2,Prabhu Chaitali3,Nadgeri Abhishek4,Hoffart Johannes5,Lehmann Jens6

Affiliation:

1. Fraunhofer IAIS and Zerotha Research, Bonn, Germany

2. Cerence GmbH and Zerotha Research, Aachen, Germany

3. University of Bonn, Bonn, Germany

4. Zerotha Research, Mumbai, India

5. Goldman Sachs, Frankfurt, Germany

6. University of Bonn, Sankt Augustin, Germany

Funder

German Ministry for Education and Research (BMBF) through the Software Campus Initiative

Publisher

ACM

Reference30 articles.

1. Krisztian Balog. 2018. Entity Linking. Springer International. Krisztian Balog. 2018. Entity Linking. Springer International.

2. Kurt D. Bollacker Colin Evans Praveen Paritosh Tim Sturge and Jamie Taylor. 2008. Freebase: a collaboratively created graph database for structuring human knowledge. In ACM SIGMOD. Kurt D. Bollacker Colin Evans Praveen Paritosh Tim Sturge and Jamie Taylor. 2008. Freebase: a collaboratively created graph database for structuring human knowledge. In ACM SIGMOD.

3. Alberto Cetoli et al. 2019. A Neural Approach to Entity Linking on Wikidata. In ECIR. 78--86. Alberto Cetoli et al. 2019. A Neural Approach to Entity Linking on Wikidata. In ECIR. 78--86.

4. Shuang Chen Jinpeng Wang Feng Jiang and Chin-Yew Lin. 2020. Improving Entity Linking by Modeling Latent Entity Type Information. CoRR (2020). Shuang Chen Jinpeng Wang Feng Jiang and Chin-Yew Lin. 2020. Improving Entity Linking by Modeling Latent Entity Type Information. CoRR (2020).

5. Antonin Delpeuch. 2019. OpenTapioca: Lightweight Entity Linking for Wikidata. CoRR (2019). Antonin Delpeuch. 2019. OpenTapioca: Lightweight Entity Linking for Wikidata. CoRR (2019).

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