Results 101 to 110 of about 15,278 (236)
An AI based cross‐language aspect‐level sentiment analysis model using English corpus
Engineering Reports, Volume 6, Issue 12, December 2024.First, a multi‐channel XLNet (Multi‐XLNet) model is used to extract contextual information from the text. Then, in the RCNN module, the contextual features are output by the forward and reverse series GRU (BiGRU) to extract deeper emotional features. Finally, the multi‐head attention mechanism obtains text attention emotion representation.
Jing Chen, Li Pan
wiley +1 more source
Proceedings of the 4th International Workshop on Semantic Evaluations - SemEval '07, 2007 The TempEval task proposes a simple way to evaluate automatic extraction of temporal relations. It avoids the pitfalls of evaluating a graph of inter-related labels by defining three sub tasks that allow pairwise evaluation of temporal relations. The task not only allows straightforward evaluation, it also avoids the complexities of full temporal ...
Robert Gaizauskas +5 more
openaire +2 more sources
Amobee at IEST 2018: Transfer Learning from Language Models
, 2018 This paper describes the system developed at Amobee for the WASSA 2018 implicit emotions shared task (IEST). The goal of this task was to predict the emotion expressed by missing words in tweets without an explicit mention of those words. We developed an
Fleischer, Daniel +2 more
core +1 more source
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 +3 more
wiley +1 more source
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 +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
Cross-Language Question Re-Ranking
, 2017 We study how to find relevant questions in community forums when the language of the new questions is different from that of the existing questions in the forum. In particular, we explore the Arabic-English language pair. We compare a kernel-based system
Brown Peter F. +15 more
core +1 more source
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 +3 more
wiley +1 more source
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 +2 more
openaire +2 more sources
An NLP‐Based Framework to Spot Extremist Networks in Social Media
Complexity, Volume 2024, Issue 1, 2024.Governments and law enforcement agencies (LEAs) are increasingly concerned about growing illicit activities in cyberspace, such as cybercrimes, cyberespionage, cyberterrorism, and cyberwarfare. In the particular context of cyberterrorism, hostile social manipulation (HSM) represents a strategy that employs different manipulation methods, mostly through
Andrés Zapata Rozo +5 more
wiley +1 more source