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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)

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Legal Document Retrieval using Document Vector Embeddings and Deep Learning., , , , , , and . CoRR, (2018)Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity., , , , , , and . CoRR, (2017)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)Online Reasoning for Semantic Error Detection in Text., , , and . J. Data Semantics, 6 (3): 139-153 (2017)Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations., , , , , and . CoRR, (2018)Subject Specific Stream Classification Preprocessing Algorithm for Twitter Data Stream., , and . CoRR, (2017)Critical Sentence Identification in Legal Cases Using Multi-Class Classification., , , , and . ICIIS, page 146-151. IEEE, (2021)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)OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data., , , , , , , , , and 7 other author(s). J. Biomedical Semantics, (2016)