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Word embedding

Features extraction and fusion by attention mechanism for software defect prediction

Shaoming Qiu, Bicong E, Jingjie He

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

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

Accurate disaster entity recognition based on contextual embeddings in self-attentive BiLSTM-CRF

Noor E. Hafsa, Hadeel Mohammed Alzoubi, Atikah Saeed Almutlq

Sound symbolism is not “marginal” in Chinese: Evidence from diachronic rhyme books

Yingying Meng, Yuwei Wan, Chunyu Kit

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

Abdulrahman Alharbi, Rafaa Aljurbua, Shelly Gupta, Zoran Obradovic

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

Mingming Li, Xingjie Wang, Chunhua Li, Anping Zeng

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

Leonardo Costa Ribeiro, Valbona Muzaka

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

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

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

Abdelrahman Hamdy, Ayman Youssef, Conor Ryan

Extracting Chinese events with a joint label space model

Wenzhi Huang, Junchi Zhang, Donghong Ji

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

Dávid Držík, Lívia Kelebercová

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

Amira Turki

Image classification with symbolic hints using limited resources

Mikkel Godsk Jørgensen, Lenka Tětková, Lars Kai Hansen

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