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SigmaLaw PBSA - A Deep Learning Approach For Aspect Based Sentiment Analysis in Legal Opinion Texts., , , , , and . J. Data Intell., 3 (1): 101-115 (2022)Multi-Document Summarization: A Comparative Evaluation., , and . ICIIS, page 19-24. IEEE, (2023)Shift-of-Perspective Identification within Legal Cases., , , , , and . ASAIL@ICAIL, volume 2385 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning., , , , , and . WASSA@EMNLP, page 260-265. Association for Computational Linguistics, (2018)Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting., , , and . PACLIC, page 252-260. Association for Computational Linguistics, (2020)Learning Sentence Embeddings In The Legal Domain with Low Resource Settings., , , , , and . PACLIC, page 494-502. De La Salle University, (2022)Legal Document Retrieval using Document Vector Embeddings and Deep Learning., , , , , , and . CoRR, (2018)Sigmalaw PBSA - A Deep Learning Model for Aspect-Based Sentiment Analysis for the Legal Domain., , , , , and . DEXA (1), volume 12923 of Lecture Notes in Computer Science, page 125-137. Springer, (2021)Semantic Oppositeness Embedding Using an Autoencoder-Based Learning Model., and . DEXA (1), volume 11706 of Lecture Notes in Computer Science, page 159-174. Springer, (2019)Synergistic union of Word2Vec and lexicon for domain specific semantic similarity., , , , , , and . ICIIS, page 1-6. IEEE, (2017)