Results 101 to 110 of about 14,560 (254)

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

OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers using Piecewise Convolutional Neural Networks

, 2018
We describe our system for SemEval-2018 Shared Task on Semantic Relation Extraction and Classification in Scientific Papers where we focus on the Classification task.
Dhyani, Dushyanta
core   +1 more source

Multiple dependence representation of attention graph convolutional network relation extraction model

IET Cyber-Physical Systems: Theory &Applications, Volume 9, Issue 3, Page 247-257, September 2024.
A new model based on graph convolutional networks, which uses a variety of representations describing dependency trees from different perspectives and combines these representations to obtain a better sentence representation for relation classification is proposed. A newly defined module is added, and this module uses the attention mechanism to capture
Zhao Liangfu, Xiong Yujie, Gao Yongbin, Yu Wenjun   +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

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, Saja Khaled Tawalbeh, Mohammad AL-Smadi   +2 more
doaj  

CCheXR‐Attention: Clinical concept extraction and chest x‐ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention

International Journal of Imaging Systems and Technology, Volume 34, Issue 1, January 2024.
Abstract Radiology reports cover different aspects from radiological observation to the diagnosis of an imaging examination, such as x‐rays, magnetic resonance imaging, and computed tomography scans. Abundant patient information presented in radiology reports poses a few major challenges.
Somiya Rani, Amita Jain, Akshi Kumar, Guang Yang   +3 more
wiley   +1 more source

SemEval-2007 task 12 [PDF]

Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007
This paper presents the task definition, resources, and the single participant system for Task 12: Turkish Lexical Sample Task (TLST), which was organized in the SemEval-2007 evaluation exercise. The methodology followed for developing the specific linguistic resources necessary for the task has been described in this context.
Emine Çelik, Demirgüç Neslihan, Zeynep Orhan   +2 more
openaire   +2 more sources

Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations

Ain Shams Engineering Journal, 2022
The way of expressing sentiment (−ve/+ve) in the form of textual information depends on the way of thinking of human beings. Identifying aspect extraction and sentiment polarity from written texts is a crucial task.
Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu   +2 more
doaj  

Exploring Metaphorical Senses and Word Representations for Identifying Metonyms [PDF]

, 2015
A metonym is a word with a figurative meaning, similar to a metaphor. Because metonyms are closely related to metaphors, we apply features that are used successfully for metaphor recognition to the task of detecting metonyms. On the ACL SemEval 2007 Task
Gelernter, Judith, Zhang, Wei
core