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Integrated Environmental Assessment and Management, Volume 19, Issue 6, Page 1581-1599, November 2023., 2023 Abstract Synthetic pesticides are important agricultural tools that increase crop yield and help feed the world's growing population. These products are also highly regulated to balance benefits and potential environmental and human risks. Public perception of pesticide use, safety, and regulation is an important topic necessitating discussion across a
Inyoung Jun +5 more
wiley +1 more source
BUT-FIT at SemEval-2020 Task 4: Multilingual Commonsense [PDF]
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020 This paper describes work of the BUT-FIT's team at SemEval 2020 Task 4 - Commonsense Validation and Explanation. We participated in all three subtasks. In subtasks A and B, our submissions are based on pretrained language representation models (namely ALBERT) and data augmentation.
Pavel Smrz +3 more
openaire +3 more sources
Semantic Orientation of Crosslingual Sentiments: Employment of Lexicon and Dictionaries
IEEE Access, 2023 Sentiment Analysis is a modern discipline at the crossroads of data mining and natural language processing. It is concerned with the computational treatment of public moods shared in the form of text over social networking websites.
Arslan Ali Raza +4 more
doaj +1 more source
INRIASAC: Simple Hypernym Extraction Methods [PDF]
, 2015 Given a set of terms from a given domain, how can we structure them into a taxonomy without manual intervention? This is the task 17 of SemEval 2015. Here we present our simple taxonomy structuring techniques which, despite their simplicity, ranked first
Grefenstette, Gregory
core +4 more sources
SemEval-2016 Task 3: Community Question Answering [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 This paper describes the SemEval--2016 Task 3 on Community Question Answering, which we offered in English and Arabic. For English, we had three subtasks: Question--Comment Similarity (subtask A), Question--Question Similarity (B), and Question--External Comment Similarity (C).
Nakov, Preslav +7 more
openaire +3 more sources
Affect detection from arabic tweets using ensemble and deep learning techniques
Journal of King Saud University: Computer and Information Sciences, 2022 Affect detection from text has captured the attention of researchers recently. This is due to the rapid use of social media sites (e.g. Twitter, Facebook), which allows users to express their feelings, emotions, and thoughts in textual format.
Omar AlZoubi +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
SemEval-2018 Task 10: Capturing Discriminative Attributes [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 This paper describes the SemEval 2018 Task 10 on Capturing Discriminative Attributes. Participants were asked to identify whether an attribute could help discriminate between two concepts. For example, a successful system should determine that ‘urine’ is a discriminating feature in the word pair ‘kidney’, ‘bone’.
Alicia Krebs +2 more
openaire +4 more sources
A Method of Word Sense Disambiguation with Restricted Boltzmann Machine
Journal of Harbin University of Science and Technology, 2019 For polysemy phenomenon in Chinese, Restricted Boltzmann Machine (RBM) is adopted to determine the true meaning of ambiguous vocabulary where linguistic knowledge in context is used Word form, part of speech and semantic categories in four left and ...
ZHANG Chun-xiang +2 more
doaj +1 more source
Applied Sciences, 2023 Relation extraction tasks aim to predict the type of relationship between two entities from a given text. However, many existing methods fail to fully utilize the semantic information and the probability distribution of the output of pre-trained language
Ping Feng +4 more
doaj +1 more source