Results 61 to 70 of about 14,560 (254)

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, Doris Hoogeveen, Llu'is M`arquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor   +6 more
openaire   +3 more sources

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, Hui Zhang, Haijun Yang, Lianyuan Xu, Zhiwen Ye   +4 more
doaj   +1 more source

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, Ya-Li Shao, Xue-Yao Gao   +2 more
doaj   +1 more source

Sentiment Analysis in Twitter: A SemEval Perspective [PDF]

Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 2016
The recent rise of social media has greatly democratized content creation. Facebook, Twitter, Skype, Whatsapp and LiveJournal are now commonly used to share thoughts and opinions about anything in the surrounding world. This proliferation of social media content has created new opportunities to study public opinion, with Twitter being especially ...
openaire   +2 more sources

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information.

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, Gerhard Wohlgenannt, Aleksei Pulich, Zar Zar Hlaing   +3 more
doaj   +1 more source

Huge automatically extracted training sets for multilingual Word Sense Disambiguation [PDF]

, 2017
We release to the community six large-scale sense-annotated datasets in multiple language to pave the way for supervised multilingual Word Sense Disambiguation.
Carr, A.J., Collins, G.S., Cook, J., Feakins, B.G., Gerry, S., Judge, A., Wartolowska, K.A.   +6 more
core   +4 more sources

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, Kiyoaki Shirai, Kanako Komiya, Hikaru Yokono   +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. The paper discusses the importance and background of these subtasks and
Korkontzelos, I, Zesch, T, ZANZOTTO, FABIO MASSIMO, Biemann, C.   +3 more
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SemEval-2023 Task 11: Learning with Disagreements (LeWiDi)

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
NLP datasets annotated with human judgments are rife with disagreements between the judges. This is especially true for tasks depending on subjective judgments such as sentiment analysis or offensive language detection. Particularly in these latter cases, the NLP community has come to realize that the approach of 'reconciling' these different ...
Leonardelli, Elisa, Uma, Alexandra, Abercrombie, Gavin, Almanea, Dina, Basile, Valerio, Fornaciari, Tommaso, Plank, Barbara, Rieser, Verena, Poesio, Massimo   +8 more
openaire   +2 more sources

Two knowledge-based methods for High-Performance Sense Distribution Learning [PDF]

, 2018
Knowing the correct distribution of senses within a corpus can potentially boost the performance of Word Sense Disambiguation (WSD) systems by many points.
Navigli, Roberto, Pasini, Tommaso
core   +1 more source