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A Comparison of Word-Embeddings in Emotion Detection from Text using BiLSTM, CNN and Self-Attention.

, , , and . UMAP (Adjunct Publication), page 63-68. ACM, (2019)

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Conversational Recommender Systems and natural language: : A study through the ConveRSE framework., , and . Decis. Support Syst., (2020)Intelligent Information Retrieval in a Digital Library Service., , , and . DELOS, volume 01/W001 of ERCIM Workshop Proceedings, ERCIM, (2000)A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation, , and . User Modeling and User-Adapted Interaction, 17 (3): 217--255 (July 2007)Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service., , , , and . Int. J. Digit. Libr., 2 (1): 3-19 (1998)Latent Relational Model for Relation Extraction., , , and . ESWC, volume 11503 of Lecture Notes in Computer Science, page 283-297. Springer, (2019)Personalized Searching by Learning WordNet-based User Profiles.. J. Digit. Inf. Manag., 5 (5): 309-322 (2007)Contextualized BERT Sentence Embeddings for Author Profiling: The Cost of Performances., , and . ICCSA (4), volume 12252 of Lecture Notes in Computer Science, page 135-149. Springer, (2020)UMAP 2017 THUM Workshop Chairs' Welcome & Organization., , , , , , , , , and . UMAP (Adjunct Publication), page 368-369. ACM, (2017)A framework for Personalized Wealth Management exploiting Case-Based Recommender Systems., , , and . Intelligenza Artificiale, 9 (1): 89-103 (2015)Learning Customer Profiles Using Unlabelled Data., , and . Informatica (Slovenia), 27 (4): 385-389 (2003)