Results 11 to 20 of about 21,648 (265)

SemEval-2016 task 5 : aspect based sentiment analysis [PDF]

Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016
International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015.
Al-Ayyoub, Mahmoud, Al-Smadi, Mohammad, Androutsopoulos, Ion, Apidianaki, Marianna, Bel Rafecas, Núria, Bel, Nuria, De Clercq, Orphée, Eryiğit, Gülşen, Galanis, Dimitris, Hoste, Véronique, Jiménez-Zafra, Salud María, Kotelnikov, Evgeniy, Loukachevitch, Natalia, Manandhar, Suresh, Papageorgiou, Haris, Pontiki, Maria, Qin, Bing, Tannier, Xavier, Zhao, Yanyan   +18 more
core   +11 more sources

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval) [PDF]

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at https://github.com/afrisenti-semeval/afrisent-semeval-2023.
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Said Ahmad, Nedjma Ousidhoum, Abinew Ali Ayele, Saif M. Mohammad, Meriem Beloucif, Sebastian Ruder   +9 more
semanticscholar   +8 more sources

A hybrid approach to Twitter sentiment analysis using integration of ESN ISPBO and BERT [PDF]

Scientific Reports
Sentiment analysis is an essential component of natural language processing, which focuses on extracting subjective insights, like emotions and opinions from text.
Zhaojia Chai, Nan Sun, Qingyang Zhang, Navid Razmjooy   +3 more
doaj   +2 more sources

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
Saif M. Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko   +3 more
semanticscholar   +3 more sources

SemEval-2023 Task 6: LegalEval - Understanding Legal Texts [PDF]

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
In populous countries, pending legal cases have been growing exponentially. There is a need for developing NLP-based techniques for processing and automatically understanding legal documents.
Ashutosh Modi, Prathamesh Kalamkar, S. Karn, Aman Tiwari, Abhinav Joshi, Sai Kiran Tanikella, Shouvik K Guha, Sachin Malhan, Vivek Raghavan   +8 more
semanticscholar   +3 more sources

A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model [PDF]

PeerJ Computer Science, 2023
Aspect-based sentiment analysis tasks are well researched in English. However, we find such research lacking in the context of the Arabic language, especially with reference to aspect category detection.
Miada Almasri, Norah Al-Malki, Reem Alotaibi   +2 more
doaj   +3 more sources

Keyphrase extraction by the use of glove and ResNeXt optimized by enhanced human evolutionary optimization (EHEO) algorithm [PDF]

Scientific Reports
Keyphrase extraction (KPE) is an essential process in natural language processing, facilitating the document content summarization for diverse uses like search engine optimization and information retrieval.
Chao Pan, Yanshu Liu, Mohammad Sarabi
doaj   +2 more sources

A hybrid stacked ensemble learning framework for multilabel text emotion detection [PDF]

Scientific Reports
Understanding emotions in text is an important part of sentiment analysis, especially in areas like mental health monitoring, customer feedback analysis, hate speech and disaster management.
Hassan Adamu, Masrah Azrifah Azmi Murad, Nurul Amelina Nasharuddin   +2 more
doaj   +2 more sources

Semeval-2007 task 02 [PDF]

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
The goal of this task is to allow for comparison across sense-induction and discrimination systems, and also to compare these systems to other supervised and knowledge-based systems. In total there were 6 participating systems. We reused the SemEval-2007 English lexical sample subtask of task 17, and set up both clustering-style unsupervised evaluation
Eneko Agirre, Aitor Soroa
openalex   +3 more sources

SemEval-2023 Task 5: Clickbait Spoiling

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
In this overview paper, we report on the second PAN~Clickbait Challenge hosted as Task~5 at SemEval~2023. The challenge’s focus is to better support social media users by automatically generating short spoilers that close the curiosity gap induced by a ...
Maik Fröbe, Benno Stein, Tim Gollub, Matthias Hagen, Martin Potthast   +4 more
semanticscholar   +2 more sources