Results 31 to 40 of about 14,560 (254)
MIPT-NSU-UTMN at SemEval-2021 Task 5: Ensembling Learning with Pre-trained Language Models for Toxic Spans Detection [PDF]
Proceedings of the 15th International Workshop on Semantic
Evaluation (SemEval-2021)", pp. 913-918, 2021, 2021 This paper describes our system for SemEval-2021 Task 5 on Toxic Spans Detection. We developed ensemble models using BERT-based neural architectures and post-processing to combine tokens into spans. We evaluated several pre-trained language models using various ensemble techniques for toxic span identification and achieved sizable improvements over our
arxiv +1 more source
Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning [PDF]
Proceedings of the 15th International Workshop on Semantic
Evaluation (SemEval-2021), pp. 163-168, 2021, 2021 This paper presents our contribution to SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC). Our experiments cover English (EN-EN) sub-track from the multilingual setting of the task. We experiment with several pre-trained language models and investigate an impact of different top-layers on fine-tuning.
arxiv +1 more source
SemEval-2018 Task 9: Hypernym Discovery [PDF]
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018 Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebrat els dies 5 i 6 de juny de 2018 a Nova Orleans, EUA. 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 ...
Jose Camacho-Collados +8 more
openaire +3 more sources
Improving Semantic Dependency Parsing with Higher-Order Information Encoded by Graph Neural Networks
Applied Sciences, 2022 Higher-order information brings significant accuracy gains in semantic dependency parsing. However, modeling higher-order information is non-trivial. Graph neural networks (GNNs) have been demonstrated to be an effective tool for encoding higher-order ...
Bin Li +4 more
doaj +1 more source
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
A survey of consumer health question answering systems
AI Magazine, Volume 44, Issue 4, Page 482-507, Winter 2023., 2023 Abstract Consumers are increasingly using the web to find answers to their health‐related queries. Unfortunately, they often struggle with formulating the questions, further compounded by the burden of having to traverse long documents returned by the search engine to look for reliable answers. To ease these burdens for users, automated consumer health
Anuradha Welivita, Pearl Pu
wiley +1 more source
TWE‐WSD: An effective topical word embedding based word sense disambiguation
CAAI Transactions on Intelligence Technology, 2021 Word embedding has been widely used in word sense disambiguation (WSD) and many other tasks in recent years for it can well represent the semantics of words.
Lianyin Jia +5 more
doaj +1 more source
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
Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 In this paper we describe the English Lexical Substitution task for SemEval. In the task, annotators and systems find an alternative substitute word or phrase for a target word in context. The task involves both finding the synonyms and disambiguating the context. Participating systems are free to use any lexical resource.
D. MCCARTHY, NAVIGLI, ROBERTO
openaire +3 more sources
Hybrid Feature Model for Emotion Recognition in Arabic Text
IEEE Access, 2020 In recent years, research into developing state-of-the-art models for Arabic natural language processing tasks has gained momentum. These models must address the added difficulties related to the nature and structure of the Arabic language. In this paper,
Nourah Alswaidan +1 more
doaj +1 more source