Results 51 to 60 of about 15,951 (231)
Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations
Ain Shams Engineering Journal, 2022 The way of expressing sentiment (−ve/+ve) in the form of textual information depends on the way of thinking of human beings. Identifying aspect extraction and sentiment polarity from written texts is a crucial task.
Anima Pradhan +2 more
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Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 This paper presents the task "Coreference Resolution in Multiple Languages" to be run in SemEval-2010 (5th International Workshop on Semantic Evaluations). This task aims to evaluate and compare automatic coreference resolution systems for three different languages (Catalan, English, and Spanish) by means of two ...
Recasens Potau, Marta +4 more
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Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 In this paper, we describe the SemEval-2010 shared task on "Linking Events and Their Participants in Discourse". This task is a variant of the classical semantic role labelling task. The novel aspect is that we focus on linking local semantic argument structures across sentence boundaries.
Ruppenhofer, J. +4 more
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SemEval-2018 Task 9: Hypernym Discovery [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 This paper describes the SemEval 2018 Shared Task on Hypernym Discovery. We put forward this task as a complementary benchmark for modeling hypernymy, a problem which has traditionally been cast as a binary classification task, taking a pair of candidate words as input. Instead, our reformulated task is defined as follows: given an input term, retrieve
Jose Camacho-Collados +8 more
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SemEval-2018 Task 1: Affect in Tweets [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. For each task, we created labeled data from English, Arabic, and Spanish tweets. The individual tasks are: 1. emotion intensity regression, 2. emotion intensity ordinal classification, 3.
Mohammad Salameh +3 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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The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing [PDF]
, 2017 We evaluate a semantic parser based on a character-based sequence-to-sequence model in the context of the SemEval-2017 shared task on semantic parsing for AMRs.
Bos, Johan, van Noord, Rik
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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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Combining Sentiment Lexica with a Multi-View Variational Autoencoder [PDF]
, 2019 When assigning quantitative labels to a dataset, different methodologies may rely on different scales. In particular, when assigning polarities to words in a sentiment lexicon, annotators may use binary, categorical, or continuous labels.
Augenstein, Isabelle +4 more
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, 2018 Luminoso participated in the SemEval 2018 task on "Capturing Discriminative Attributes" with a system based on ConceptNet, an open knowledge graph focused on general knowledge.
Lowry-Duda, Joanna, Speer, Robyn
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