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Disambiguation of "Amir, Silvio"

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INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces.

, , , , , and . SemEval@NAACL-HLT, page 652-656. The Association for Computer Linguistics, (2015)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Silvio Bischoff

Miniaturisierte Hochdrehzahl-Kühlmittelpumpen für Kfz-Motoren. TU Braunschweig, (2009)

Manutschehr Amirfeyz

Iradj Amirzadeh-Asl

Mahmud Amirian-Khaffadjeh

Belal Amireh

 

Other publications of authors with the same name

SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts., , , and . SemEval@ACL, page 2266-2274. Association for Computational Linguistics, (2023)Open (Clinical) LLMs are Sensitive to Instruction Phrasings., , , , , , and . CoRR, (2024)RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media., , , and . EACL (Findings), page 797. Association for Computational Linguistics, (2023)UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing., , , , , , and . WWW (Companion Volume), page 1176-1177. ACM, (2022)Early Detection of Online Hate Speech Spreaders with Learned User Representations., , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 2004-2010. CEUR-WS.org, (2021)Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation., , , , , , , and . EMNLP, page 1520-1530. The Association for Computational Linguistics, (2015)Not All Contexts Are Created Equal: Better Word Representations with Variable Attention., , , , , , , and . EMNLP, page 1367-1372. The Association for Computational Linguistics, (2015)Quantifying Mental Health from Social Media with Neural User Embeddings., , , , and . MLHC, volume 68 of Proceedings of Machine Learning Research, page 306-321. PMLR, (2017)POPmine: Tracking Political Opinion on the Web., , , and . CIT/IUCC/DASC/PICom, page 1521-1526. IEEE, (2015)TUGAS: Exploiting unlabelled data for Twitter sentiment analysis., , , , and . SemEval@COLING, page 673-677. The Association for Computer Linguistics, (2014)