Community Evaluation and Exchange of Word Vectors at wordvectors.org
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SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change
2020-12-02 · SEMEVAL 2020
· Maurício Gruppi, Sibel Adali, Pin-Yu Chen
This paper describes SChME (Semantic Change Detection with Model Ensemble), a method usedin SemEval-2020 Task 1 on unsupervised detection of lexical semantic change. SChME usesa model ensemble combining signals of distri…
Change DetectionWord EmbeddingsProblems With Evaluation of Word Embeddings Using Word Similarity Tasks
2016-05-08 · WS 2016 8
· Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi, Chris Dyer
Lacking standardized extrinsic evaluation methods for vector representations of words, the NLP community has relied heavily on word similarity tasks as a proxy for intrinsic evaluation of word vectors. Word similarity ev…
Semantic SimilaritySemantic Textual SimilarityWord EmbeddingsWord SimilarityWord vectors, reuse, and replicability: Towards a community repository of large-text resources
2017-05-01 · WS 2017 5
· Murhaf Fares, Andrey Kutuzov, Stephan Oepen, Erik Velldal
Semantic Textual SimilarityWord Embeddings
VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
2015-06-01 · SEMEVAL 2015 6
· Yonatan Belinkov, Mitra Mohtarami, Scott Cyphers, James Glass
Answer SelectionCommunity Question AnsweringQuestion Answering
TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters
2019-06-01 · SEMEVAL 2019 6
· R{\'e}ka Juh{\'a}sz, Franziska Barbara Linnenschmidt, Teslin Roys
The SemEval 2019 Task 8 on Fact-Checking in community question answering forums aimed to classify questions into categories and verify the correctness of answers given on the QatarLiving public forum. The task was divide…
Community Question AnsweringFact CheckingQuestion Answering