Results 111 to 120 of about 14,560 (254)
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
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
A Weighted Diffusion Graph Convolutional Network for Relation Extraction
Journal of Electrical and Computer Engineering, Volume 2024, Issue 1, 2024.Currently, graph convolutional network (GCN) is widely used in relation extraction (RE) tasks. Within RE tasks in the form of directed graphs, the placement of entities in the sentence context generates a large number of remote entity nodes in the directed graph.
Jiusheng Chen +4 more
wiley +1 more source
SemEval 2014 Task 5 - L2 Writing Assistant [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 We present a new cross-lingual task for SemEval concerning the translation of L1 fragments in an L2 context. The task is at the boundary of Cross-Lingual Word Sense Disambiguation and Machine Translation. It finds its application in the field of computer-assisted translation, particularly in the context of second language learning.
Gompel, M. van +4 more
openaire +3 more sources
Word Sense Disambiguation Using Clustered Sense Labels
Applied Sciences, 2022 Sequence labeling models for word sense disambiguation have proven highly effective when the sense vocabulary is compressed based on the thesaurus hierarchy.
Jeong Yeon Park +2 more
doaj +1 more source
SemEval-2015 Task 9: CLIPEval Implicit Polarity of Events [PDF]
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015 Sentiment analysis tends to focus on the po- larity of words, combining their values to de- tect which portion of a text is opinionated. CLIPEval wants to promote a more holistic approach, looking at psychological researches that frame the connotations of words as the emotional values activated by them.
Russo Irene +2 more
openaire +4 more sources
Duluth at Semeval-2017 Task 7 : Puns upon a midnight dreary, Lexical Semantics for the weak and weary [PDF]
arXiv, 2017 This paper describes the Duluth systems that participated in SemEval-2017 Task 7 : Detection and Interpretation of English Puns. The Duluth systems participated in all three subtasks, and relied on methods that included word sense disambiguation and measures of semantic relatedness.
arxiv
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis [PDF]
Proceedings of the 11th International Workshop on Semantic Evaluation
(SemEval-2017), 2017 Cet article décrit deux systèmes qui ont été utilisés par le NileTMRG pour traiter l'analyse du sentiment arabe dans le cadre de SemEval-2017, tâche 4. NileTMRG a participé à trois sous-tâches liées à l'arabe qui sont : Sous-tâche A (classification de la polarité des messages), Sous-tâche B (classification de la polarité des messages par sujet) et Sous-
Samhaa R. El-Beltagy +2 more
openaire +3 more sources
Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter [PDF]
, 2017 This paper describes the Amobee sentiment analysis system, adapted to compete in SemEval 2017 task 4. The system consists of two parts: a supervised training of RNN models based on a Twitter sentiment treebank, and the use of feedforward NN, Naive Bayes and logistic regression classifiers to produce predictions for the different sub-tasks.
arxiv +1 more source
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