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Domain adaptation for part-of-speech tagging of noisy user-generated text., , and . NAACL-HLT (1), page 3415-3420. Association for Computational Linguistics, (2019)Knodle: Modular Weakly Supervised Learning with PyTorch., , , and . RepL4NLP@ACL-IJCNLP, page 100-111. Association for Computational Linguistics, (2021)Intent Recognition in Doctor-Patient Interviews., , and . LREC, page 702-709. European Language Resources Association, (2020)Functionality learning through specification instructions., and . CoRR, (2023)Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features., , , and . IJCNLP(1), page 624-633. Asian Federation of Natural Language Processing, (2017)Web-Based Relation Extraction for the Food Domain., , and . NLDB, volume 7337 of Lecture Notes in Computer Science, page 222-227. Springer, (2012)Data-driven knowledge extraction for the food domain., , and . KONVENS, volume 5 of Scientific series of the ÖGAI, page 21-29. ÖGAI, Wien, Österreich, (2012)Applying Multi-User Virtual Reality to Collaborative Medical Training., , , , , , , , , and 5 other author(s). VR, page 775-776. IEEE Computer Society, (2018)Hypios in the garden of user data., , and . RIAO, page 218-219. CID - Le Centre de Hautes Etudes Internationales D'Informatique Documentaire, (2010)Multilingual Relation Extraction using Compositional Universal Schema., , , , and . HLT-NAACL, page 886-896. The Association for Computational Linguistics, (2016)