The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
CARER: Contextualized Affect Representations for Emotion Recognition
Open accessAbstract
Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs.Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed.We propose a semisupervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text.The pattern-based representations are further enriched with word embeddings and evaluated through several emotion recognition tasks.Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.
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Cited by
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Ziems, C., Held, W., Shaikh, O., Chen, J., Zhang, Z., & Yang, D. (2024) · Computational Linguistics · doi:10.1162/coli_a_00502 · Cited by 585
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
MetaICL: Learning to Learn In Context
Min, S., Lewis, M., Zettlemoyer, L., & Hajishirzi, H. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · doi:10.18653/v1/2022.naacl-main.201 · Cited by 169
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Metadata
- Authors
- Saravia, E., Liu, H.-C. T., Huang, Y.-H., Wu, J., & Chen, Y.-S.
- Venue
- Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Published
- 2018
- Pages
- 3687-3697
- OpenAlex
- W2891575196
- Cited by
- 308
- References
- 40
- FWCI
- 3.43
- Type
- conference paper
- Language
- en
- Open access
- hybrid
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- Saravia, E., Liu, H.-C. T., Huang, Y.-H., Wu, J., & Chen, Y.-S. (2018). CARER: Contextualized Affect Representations for Emotion Recognition. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/v1/d18-1404
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