Results 51 to 60 of about 21,648 (265)
International Workshop on Semantic Evaluation, 2023 We describe SemEval-2023 task 3 on Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multilingual Setup: the dataset, the task organization process, the evaluation setup, the results, and the participating systems ...
J. Piskorski +3 more
semanticscholar +1 more source
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 We present a brief overview of the main challenges in understanding the semantics of noun compounds and consider some known methods. We introduce a new task to be part of SemEval-2010: the interpretation of noun compounds using paraphrasing verbs and prepositions.
Cristina Butnariu +5 more
openaire +1 more source
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
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data [PDF]
International Workshop on Semantic Evaluation, 2023 This paper describes the results of SemEval 2023 task 7 – Multi-Evidence Natural Language Inference for Clinical Trial Data (NLI4CT) – consisting of 2 tasks, a Natural Language Inference (NLI) task, and an evidence selection task on clinical trial data ...
Mael Jullien +5 more
semanticscholar +1 more source
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
openaire +3 more sources
Aspect Based Sentimental Analysis of Hotel Reviews: A Comparative Study
Sukkur IBA Journal of Computing and Mathematical Sciences, 2020 The increasing use of the internet enables users to share their opinion about what they like and dislike regarding products and services. For efficient decision making, there is a need to analyze these reviews.
Sindhu Abro +4 more
doaj +5 more sources
Chinese Word Sense Disambiguation Based on Word translation and Part of speech
Journal of Harbin University of Science and Technology, 2020 For vocabulary ambiguity problem in Chinese, CNN (Convolution Neural Network) is adopted to determine true meaning of ambiguous vocabulary where word, part of speech and translation around its left and right adjacent words are used.
ZHANG Chunxiang +2 more
doaj +1 more source
SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification
International Workshop on Semantic Evaluation, 2022 The paper describes the SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification (MAMI),which explores the detection of misogynous memes on the web by taking advantage of available texts and images. The task has been organised in two related sub-
E. Fersini +7 more
semanticscholar +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
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles [PDF]
International Workshop on Semantic Evaluation, 2020 We present the results and the main findings of SemEval-2020 Task 11 on Detection of Propaganda Techniques in News Articles. The task featured two subtasks.
Giovanni Da San Martino +4 more
semanticscholar +1 more source