The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
Open accessAbstract
Eneko Agirre, Carmen Banea, Claire Cardie, Daniel Cer, Mona Diab, Aitor Gonzalez-Agirre, Weiwei Guo, Iñigo Lopez-Gazpio, Montse Maritxalar, Rada Mihalcea, German Rigau, Larraitz Uria, Janyce Wiebe. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015). 2015.
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Efficient Estimation of Word Representations in Vector Space
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568
Numerical recipes in C: the art of scientific computing
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5638 · Cited by 17,933
WordNet: a lexical database for English
Miller, G. A. (1995) · Communications of the ACM · doi:10.1145/219717.219748 · Cited by 14,015 · cited 2×
“They use WordNet (Miller, 1995), Mikolov Embeddings (Mikolov et al.”
Method5.7 The WORDNET lexical database of English
(2019) · Computer Corpus Lexicography · doi:10.1515/9781474471459-050 · Cited by 1,865
Baroni, M., Dinu, G., & Kruszewski, G. (2014) · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · doi:10.3115/v1/p14-1023 · Cited by 1,364
Abney, S. P. (1991) · Studies in Linguistics and Philosophy · doi:10.1007/978-94-011-3474-3_10 · Cited by 882
Introduction to the CoNLL-2000 shared task: chunking
Tjong Kim Sang, E. F., & Buchholz, S. (2000) · Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - · doi:10.3115/1117601.1117631 · Cited by 705
SemEval-2012 Task 6: A Pilot on Semantic Textual Similarity
Agirre, E., Cer, D. M., Diab, M., & González-Agirre, A. (2012) · Cited by 649
Self-citationCollecting Image Annotations Using Amazon's Mechanical Turk
Rashtchian, C., Young, P., Hodosh, M., & Hockenmaier, J. (2010) · Cited by 541
SemEval-2014 Task 10: Multilingual Semantic Textual Similarity
Agirre, E., Banea, C., Cardie, C., Cer, D., Diab, M., Gonzalez-Agirre, A., Guo, W., Mihalcea, R., Rigau, G., & Wiebe, J. (2014) · Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) · doi:10.3115/v1/s14-2010 · Cited by 490
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Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reimers, N., & Gurevych, I. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1410 · Cited by 12,778
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Gao, T., Yao, X., & Chen, D. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2021.emnlp-main.552 · Cited by 2,851
Ethayarajh, K. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · doi:10.18653/v1/d19-1006 · Cited by 841
On the Sentence Embeddings from Pre-trained Language Models
Li, B., Zhou, H., He, J., Wang, M., Yang, Y., & Li, L. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.733 · Cited by 593
MTEB: Massive Text Embedding Benchmark
Muennighoff, N., Tazi, N., Magne, L., & Reimers, N. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2023.eacl-main.148 · Cited by 548
Metadata
- Authors
- Agirre, E., Banea, C., Cardie, C., Cer, D., Diab, M., Gonzalez-Agirre, A., Guo, W., Lopez-Gazpio, I., Maritxalar, M., Mihalcea, R., Rigau, G., Uria, L., & Wiebe, J.
- Venue
- Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
- Published
- 2015
- Pages
- 252-263
- OpenAlex
- W2133458109
- Cited by
- 466
- References
- 15
- FWCI
- 26.51
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Agirre, E., Banea, C., Cardie, C., Cer, D., Diab, M., Gonzalez-Agirre, A., Guo, W., Lopez-Gazpio, I., Maritxalar, M., Mihalcea, R., Rigau, G., Uria, L., & Wiebe, J. (2015). SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability. Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015). https://doi.org/10.18653/v1/s15-2045
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