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Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains.

, , and . CoRR, (2018)

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Determining the Degree of Compositionality of German Particle Verbs by Clustering Approaches., and . KONVENS, page 47-56. universaar, Universitätsverlag des Saarlandes / Saarland University Press / Presses universitaires de la Sarre, (2010)GermaNet Synsets as Selectional Preferences in Semantic Verb Clustering.. LDV Forum, 19 (1/2): 69-79 (2004)You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP., , , and . EMNLP/IJCNLP (1), page 4706-4716. Association for Computational Linguistics, (2019)Clustering Verbs Semantically According to their Alternation Behaviour.. COLING, page 747-753. Morgan Kaufmann, (2000)A Multimodal LDA Model integrating Textual, Cognitive and Visual Modalities., and . EMNLP, page 1146-1157. ACL, (2013)Human Verb Associations as the Basis for Gold Standard Verb Classes: Validation against GermaNet and FrameNet.. LREC, page 825-830. European Language Resources Association (ELRA), (2006)Using subcategorization knowledge to improve case prediction for translation to German., , and . ACL (1), page 593-603. The Association for Computer Linguistics, (2013)Distinguishing Literal and Non-Literal Usage of German Particle Verbs., and . HLT-NAACL, page 353-362. The Association for Computational Linguistics, (2016)A Laypeople Study on Terminology Identification across Domains and Task Definitions., and . NAACL-HLT (2), page 321-326. Association for Computational Linguistics, (2018)Analogies in Complex Verb Meaning Shifts: the Effect of Affect in Semantic Similarity Models., and . NAACL-HLT (2), page 150-156. Association for Computational Linguistics, (2018)