- Home
- Research
- Research Output
- Others
- Li, W. Y., Chersoni, E., & Ngai, S. B. C. (2024). Evaluating Multilingual Language Models for Cross-Lingual ESG Issue Identification. In C.-C. Chen, Z. Ma, & U. Hahn (Eds.), Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings (pp. 50-58). (Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings). Association for Computational Linguistics (ACL). https://www.researchgate.net/publication/380359538_Evaluating_Multilingual_Language_Models_for_Cross-Lingual_ESG_Issue_Identification
Li, W. Y., Chersoni, E., & Ngai, S. B. C. (2024). Evaluating Multilingual Language Models for Cross-Lingual ESG Issue Identification. In C.-C. Chen, Z. Ma, & U. Hahn (Eds.), Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings (pp. 50-58). (Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services and the 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024 at LREC-COLING 2024 - Workshop Proceedings). Association for Computational Linguistics (ACL). https://www.researchgate.net/publication/380359538_Evaluating_Multilingual_Language_Models_for_Cross-Lingual_ESG_Issue_Identification
This is the default Rich Text Editor in each page.
You can edit this content and add component above or below this area.
For Component List, you may refer to https://www.polyu.edu.hk/cpa/web-design-guide/
If you don't have any content to put in this area, you can clear the content inside.
Then it will become [No text in field], and this area will disappear in preview.