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Word embedding

Pre-training Model Based on Parallel Cross-Modality Fusion Layer

Xuewei Li, Dezhi Han, Chin-Chen Chang

BI-SENT: bilingual aspect-based sentiment analysis of COVID-19 Tweets in Urdu language

Ehtesham Hashmi, Amna Altaf, [ ... ], Usama Ijaz Bajwa

Considering similarity and the rating conversion of neighbors on neural collaborative filtering

Thitiporn Neammanee, Saranya Maneeroj, Atsuhiro Takasu

Harnessing interpretable novel combination of GloVe embedding with deep CNN-BiLSTM neural network for fake news detection

Sidra khalid, Shabana Ramzan, [ ... ], Muhammad Syafrudin

Flexibility in conceptual combinations: A neural network model of gradable adjective modification

Georgia-Ann Carter, Frank Keller, Paul Hoffman

TriLex: A fusion approach for unsupervised sentiment analysis of short texts

Abdulrahman Alharbi, Rafaa Aljurbua, Shelly Gupta, Zoran Obradovic

Arab2Vec: An Arabic word embedding model for use in Twitter NLP applications

Abdelrahman Hamdy, Ayman Youssef, Conor Ryan

Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding

Mingming Li, Xingjie Wang, Chunhua Li, Anping Zeng

WBA: Word Boundary Attention for Chinese Named Entity Recognition

Zhongguo Xu

Automated framework for multi-domain social media text analysis for business strategy employing multilayer perceptron with Word2Vec features and LIME XAI

Amira Turki

Back-translation effects on static and contextual word embeddings for topic classification embedding in classification tasks

Dávid Držík, Lívia Kelebercová

Needle in a haystack: Harnessing AI in drug patent searches and prediction

Leonardo Costa Ribeiro, Valbona Muzaka

Multi-task learning by using contextualized word representations for syntactic parsing of a morphologically rich language

Toqeer Ehsan, Miriam Butt, [ ... ], Ali Al-Laith

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