Intrinsic and Extrinsic Evaluation of Sentiment-Specific Word Embeddings
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50327-6_16
Reference24 articles.
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3. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135–146 (2017)
4. Finkelstein, L., Gabrilovich, E., Matias, Y., Rivlin, E., Solan, Z., Wolfman, G., Ruppin, E.: Placing search in context: the concept revisited. In: Proceedings of the 10th International Conference on World Wide Web, pp. 406–414 (2001)
5. Gladkova, A., Drozd, A.: Intrinsic evaluations of word embeddings: what can we do better? In: Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, pp. 36–42 (2016)
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