ISCAS_NLP at SemEval-2016 Task 1: Sentence Similarity Based on Support Vector Regression using Multiple Features [PDF]
, 2016 Cheng Fu, Bo An, Xianpei Han, Le Sun
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MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification [PDF]
, 2016 Hang Gao, Tim Oates
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GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis [PDF]
, 2016 Tamara Álvarez-López +4 more
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Tohoku at SemEval-2016 Task 6: Feature-based Model versus Convolutional Neural Network for Stance Detection [PDF]
, 2016 Yuki Igarashi +4 more
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MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? [PDF]
, 2016 Francisco Guzmán +2 more
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SemEval-2010 Task 14: Word Sense Induction & Disambiguation
, 2010 Suresh Manandhar +3 more
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USAAR at SemEval-2016 Task 13: Hyponym Endocentricity [PDF]
, 2016 Liling Tan +2 more
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FlexSTS: Um Framework para Similaridade Semântica Textual
Linguamática, 2016 Desde 2012, os eventos de Semantic Evaluation (SemEval) propõem a tarefa de Similaridade Semântica Textual (STS) como um tema de competição, demonstrando sua relevância.
Jânio Freire +2 more
doaj
JU_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines [PDF]
, 2016 Braja Gopal Patra +2 more
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LEIA: Linguistic Embeddings for the Identification of Affect. [PDF]
EPJ Data Sci, 2023 Aroyehun ST +5 more
europepmc +1 more source