Results 81 to 90 of about 15,278 (236)

Multi-prompt Learning Based Aspect-Category Sentiment Analysis [PDF]

Jisuanji kexue yu tansuo
Aspect-category sentiment analysis (ACSA) aims to discern aspect categories in review texts and simultaneously predict their sentiment polarity. It is an important fine-grained subtask in the field of sentiment analysis.
LIU Jinhang, LI Lin, WU Renwei, LIU Jia
doaj   +1 more source

Complex Word Identification: Challenges in Data Annotation and System Performance

, 2017
This paper revisits the problem of complex word identification (CWI) following up the SemEval CWI shared task. We use ensemble classifiers to investigate how well computational methods can discriminate between complex and non-complex words.
Malmasi, Shervin, Paetzold, Gustavo, Specia, Lucia, Zampieri, Marcos   +3 more
core   +1 more source

Drug–drug interaction extraction‐based system: An natural language processing approach

Expert Systems, Volume 42, Issue 1, January 2025.
Abstract Poly‐medicated patients, especially those over 65, have increased. Multiple drug use and inappropriate prescribing increase drug–drug interactions, adverse drug reactions, morbidity, and mortality. This issue was addressed with recommendation systems.
José Machado, Carla Rodrigues, Regina Sousa, Luis Mendes Gomes   +3 more
wiley   +1 more source

SemEval-2010 task 2 [PDF]

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009
In this paper we describe the SemEval-2010 Cross-Lingual Lexical Substitution task, which is based on the English Lexical Substitution task run at SemEval-2007. In the English version of the task, annotators and systems had to find an alternative substitute word or phrase for a target word in context.
Ravi Sinha, Diana McCarthy, Rada Mihalcea   +2 more
openaire   +2 more sources

archer at SemEval-2021 Task 1: Contextualising Lexical Complexity [PDF]

Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 2021
Evaluating the complexity of a target word in a sentential context is the aim of the Lexical Complexity Prediction task at SemEval-2021. This paper presents the system created to assess single words lexical complexity, combining linguistic and psycholinguistic variables in a set of experiments involving random forest and XGboost regressors.
openaire   +4 more sources

RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media

Journal of Big Data
The earliest detection of rumors across social media is the need to the hour in present global village. User’s are seamlessly connected in an unstructured network leading to rapid flow of information.
Zafran Khan, Jeonghwan Gwak, Naima Iltaf, Witold Pedrycz, Moongu Jeon   +4 more
doaj   +1 more source

What Matters in Irony Detection: An Extended Feature Engineering for Irony Detection in English Tweets.

Proceedings of the International Florida Artificial Intelligence Research Society Conference
In recent years, large-scale language models (LLMs) have nearly become the dominant force in almost every natural language processing (NLP) task. The primary research approach has focused on selecting the most appropriate language model for specific NLP ...
Linrui Zhang, Qixiang Pang, Belinda Copus   +2 more
doaj   +1 more source

Sarcasm Detection in Sentiment Analysis Using Recurrent Neural Networks

International Journal of Distributed Sensor Networks, Volume 2025, Issue 1, 2025.
In recent years, online opinionated textual data volume has surged, necessitating automated analysis to extract valuable insights. Data mining and sentiment analysis have become essential for analysing this type of text. Sentiment analysis is a text classification problem associated with many challenges, including better data preprocessing and sarcasm ...
Maneeha Rani, Muhammad Babar, Syed Zafar Ali Shah, Ali Abbas, Muhammad Sohail Hayat, Shafiq Ahmad, Sadaqat Jan, Rahul Priyadarshi   +7 more
wiley   +1 more source

SemEval-2010 task 7 [PDF]

Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009
In this paper, we describe the Argument Selection and Coercion task, currently in development for the SemEval-2 evaluation exercise scheduled for 2010. This task involves characterizing the type of compositional operation that exists between a predicate and the arguments it selects.
Anna Rumshisky, James Pustejovsky
openaire   +2 more sources

Modern Approaches to Aspect-Based Sentiment Analysis

Труды Института системного программирования РАН, 2018
The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences.
I. . Andrianov, V. . Mayorov, D. . Turdakov   +2 more
doaj   +1 more source