@inproceedings{camacho-collados-etal-2017-semeval,
title = "{S}em{E}val-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity",
author = "Camacho-Collados, Jose and
Pilehvar, Mohammad Taher and
Collier, Nigel and
Navigli, Roberto",
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-2002",
doi = "10.18653/v1/S17-2002",
pages = "15--26",
abstract = "This paper introduces a new task on Multilingual and Cross-lingual SemanticThis paper introduces a new task on Multilingual and Cross-lingual Semantic Word Similarity which measures the semantic similarity of word pairs within and across five languages: English, Farsi, German, Italian and Spanish. High quality datasets were manually curated for the five languages with high inter-annotator agreements (consistently in the 0.9 ballpark). These were used for semi-automatic construction of ten cross-lingual datasets. 17 teams participated in the task, submitting 24 systems in subtask 1 and 14 systems in subtask 2. Results show that systems that combine statistical knowledge from text corpora, in the form of word embeddings, and external knowledge from lexical resources are best performers in both subtasks. More information can be found on the task website: \url{http://alt.qcri.org/semeval2017/task2/}",
}
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%0 Conference Proceedings
%T SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
%A Camacho-Collados, Jose
%A Pilehvar, Mohammad Taher
%A Collier, Nigel
%A Navigli, Roberto
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F camacho-collados-etal-2017-semeval
%X This paper introduces a new task on Multilingual and Cross-lingual SemanticThis paper introduces a new task on Multilingual and Cross-lingual Semantic Word Similarity which measures the semantic similarity of word pairs within and across five languages: English, Farsi, German, Italian and Spanish. High quality datasets were manually curated for the five languages with high inter-annotator agreements (consistently in the 0.9 ballpark). These were used for semi-automatic construction of ten cross-lingual datasets. 17 teams participated in the task, submitting 24 systems in subtask 1 and 14 systems in subtask 2. Results show that systems that combine statistical knowledge from text corpora, in the form of word embeddings, and external knowledge from lexical resources are best performers in both subtasks. More information can be found on the task website: http://alt.qcri.org/semeval2017/task2/
%R 10.18653/v1/S17-2002
%U https://aclanthology.org/S17-2002
%U https://doi.org/10.18653/v1/S17-2002
%P 15-26
Markdown (Informal)
[SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity](https://aclanthology.org/S17-2002) (Camacho-Collados et al., SemEval 2017)
ACL