Publisher
Association for Natural Language Processing
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference9 articles.
1. Anwar, S., Ustalov, D., Arefyev, N., Ponzetto, S. P., Biemann, C., and Panchenko, A. (2019). “HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings.” In Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval 2019), pp. 125–129.
2. Arefyev, N., Sheludko, B., Davletov, A., Kharchev, D., Nevidomsky, A., and Panchenko, A. (2019). “Neural GRANNy at SemEval-2019 Task 2: A Combined Approach for Better Modeling of Semantic Relationships in Semantic Frame Induction.” In Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval 2019), pp. 31–38.
3. Baker, C. F., Fillmore, C. J., and Lowe, J. B. (1998). “The Berkeley FrameNet Project.” In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics (ACL-COLING 1998), pp. 86–90.
4. Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019). “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.” In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019), pp. 4171–4186.
5. Ribeiro, E., Mendonça, V., Ribeiro, R., Martins de Matos, D., Sardinha, A., Santos, A. L., and Coheur, L. (2019). “L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations.” In Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval 2019), pp. 130–136.