Results 51 to 60 of about 15,771 (225)
JokeMeter at SemEval-2020 Task 7: Convolutional Humor [PDF]
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020 This paper describes our system that was designed for Humor evaluation within the SemEval-2020 Task 7. The system is based on convolutional neural network architecture. We investigate the system on the official dataset, and we provide more insight to model itself to see how the learned inner features look.
Martin Docekal +3 more
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SemEval-2017 Task 3: Community Question Answering [PDF]
Proceedings of the 11th International Workshop on Semantic Evaluation
(SemEval-2017), 2017 We describe SemEval-2017 Task 3 on Community Question Answering. This year, we reran the four subtasks from SemEval-2016:(A) Question-Comment Similarity,(B) Question-Question Similarity,(C) Question-External Comment Similarity, and (D) Rerank the correct answers for a new question in Arabic, providing all the data from 2015 and 2016 for training, and ...
Preslav Nakov +6 more
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On SemEval-2010 Japanese WSD Task
Journal of Natural Language Processing, 2011 An overview of the SemEval-2 Japanese WSD task is presented. The new characteristics of our task are (1) the task will use the first balanced Japanese sense-tagged corpus, and (2) the task will take into account not only the instances that have a sense in the given set but also the instances that have a sense that cannot be found in the set.
Manabu Okumura +3 more
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SemEval-2013 Task 5: Evaluating Phrasal Semantics [PDF]
, 2013 This paper describes the SemEval-2013 Task 5: “Evaluating Phrasal Semantics”. Its first subtask is about computing the semantic similarity of words and compositional phrases of minimal length. The second one addresses deciding the compositionality of phrases in a given context.
Korkontzelos, I +3 more
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SemEval-2020 Task 4: Commonsense Validation and Explanation [PDF]
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020 In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation (ComVE), which includes three subtasks, aiming to evaluate whether a system can distinguish a natural language statement that makes sense to humans from one that does not, and provide the reasons.
Yilong Wang +5 more
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A Single Attention-Based Combination of CNN and RNN for Relation Classification
IEEE Access, 2019 As a vital task in natural language processing, relation classification aims to identify relation types between entities from texts. In this paper, we propose a novel Att-RCNN model to extract text features and classify relations by combining recurrent ...
Xiaoyu Guo +4 more
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Word Sense Disambiguation Based on RegNet With Efficient Channel Attention and Dilated Convolution
IEEE Access, 2023 Word sense disambiguation (WSD) is one of key problems in field of natural language processing. Ambiguous word often has different meanings in different contexts.
Chun-Xiang Zhang +2 more
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ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge
, 2017 This paper describes Luminoso's participation in SemEval 2017 Task 2, "Multilingual and Cross-lingual Semantic Word Similarity", with a system based on ConceptNet. ConceptNet is an open, multilingual knowledge graph that focuses on general knowledge that
Lowry-Duda, Joanna, Speer, Robyn
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IEEE AccessTarget Aspect Sentiment Detection (TASD) is challenging because it involves various Natural Language Processing (NLP) subtasks including opinion target detection and sentiment polarity classification.
Mohammad Radi, Nazlia Omar, Wandeep Kaur
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PLoS ONE, 2021 Research into semantic similarity has a long history in lexical semantics, and it has applications in many natural language processing (NLP) tasks like word sense disambiguation or machine translation.
Ponrudee Netisopakul +3 more
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