Proceedings of the 4th International Workshop on Semantic Evaluations

By Eneko Agirre, L. Màrquez, R. Wicentowski. 2007

63 citations recorded by the source corpus.

Subfields: Natural Language Processing, Information Extraction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Roberto Navigli
2. Rada Mihalcea
3. Aparna Garimella
4. Mohammad Taher Pilehvar
5. José Camacho-Collados
6. Mirella Lapata
7. Alessandro Raganato
8. Simone Paolo Ponzetto

In Information Extraction

1. Rada Mihalcea
2. Roberto Navigli

Citations in the corpus

• Word sense disambiguation: A survey (2009, methodology): “However, we want to comment on the following points: the performance variations are quite consistent with the baseline changes across the competitions: for the lexical sample task, there is a general decrease in performance between Senseval-1 and -2 and a general increase between Senseval-2 and -3”
• Zooming in on Gender Differences in Social Media (2016, background): “…improvements are obtained for all parts-of-speech, the nouns lead to the highest disambiguation results, with the largest improvement over the baseline, which interestingly aligns with previous observations from work on word sense disambiguation (Mihalcea and Edmonds, 2004; Agirre et al., 2007).”