Results 111 to 120 of about 15,528 (226)
Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
, 2017 We consider the problem of learning general-purpose, paraphrastic sentence embeddings, revisiting the setting of Wieting et al. (2016b). While they found LSTM recurrent networks to underperform word averaging, we present several developments that ...
Gimpel, Kevin, Wieting, John
core +1 more source
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
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
, 2018 This paper demonstrates that word sense disambiguation (WSD) can improve neural machine translation (NMT) by widening the source context considered when modeling the senses of potentially ambiguous words.
Henderson, James +3 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
Robust Incremental Neural Semantic Graph Parsing
, 2017 Parsing sentences to linguistically-expressive semantic representations is a key goal of Natural Language Processing. Yet statistical parsing has focused almost exclusively on bilexical dependencies or domain-specific logical forms.
Blunsom, Phil, Buys, Jan
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
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
Learning for clinical named entity recognition without manual annotations
Informatics in Medicine Unlocked, 2018 Background: Named entity recognition (NER) systems are commonly built using supervised methods that use machine learning to learn from corpora manually annotated with named entities.
Omid Ghiasvand, Rohit J. Kate
doaj +1 more source
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
Aspect-Level Sentiment Analysis through Aspect-Oriented Features
HighTech and Innovation JournalAspect-level sentiment analysis is essential for businesses to comprehend sentiment polarities associated with various aspects within unstructured texts.
Mikail Bin Muhammad Azman Busst +2 more
doaj +1 more source