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SigmaLaw PBSA - A Deep Learning Approach For Aspect Based Sentiment Analysis in Legal Opinion Texts., , , , , и . J. Data Intell., 3 (1): 101-115 (2022)Shift-of-Perspective Identification within Legal Cases., , , , , и . ASAIL@ICAIL, том 2385 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Multi-Document Summarization: A Comparative Evaluation., , и . ICIIS, стр. 19-24. IEEE, (2023)Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning., , , , , и . WASSA@EMNLP, стр. 260-265. Association for Computational Linguistics, (2018)Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting., , , и . PACLIC, стр. 252-260. Association for Computational Linguistics, (2020)Learning Sentence Embeddings In The Legal Domain with Low Resource Settings., , , , , и . PACLIC, стр. 494-502. De La Salle University, (2022)Concept and Attention-Based CNN for Question Retrieval in Multi-View Learning., , , , , , и . ACM Trans. Intell. Syst. Technol., 9 (4): 41:1-41:24 (2018)Fine Tuning Named Entity Extraction Models for the Fantasy Domain., и . CoRR, (2024)Selecting Seed Words for Wordle using Character Statistics.. CoRR, (2022)Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora., , , , и . EACL (1), стр. 860-880. Association for Computational Linguistics, (2024)