Papers
Visual Grounding of Inter-lingual Word-Embeddings
Wafaa Mohammed, Hassan Shahmohammadi, Hendrik P. A. Lensch et al.
Combining WordNet and Word Embeddings in Data Augmentation for Legal Texts
Sezen Perçin, Andrea Galassi, Francesca Lagioia et al.
Robust textual embedding against word-level adversarial attacks
Yichen Yang, Xiaosen Wang, Kun He
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
dongsheng wang, Dan dan Guo, He Zhao et al.
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings
Jan Engler, Sandipan Sikdar, Marlene Lutz et al.
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings
Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra et al.
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Lei Ding, Dengdeng Yu, Jinhan Xie et al.
Gender and Racial Stereotype Detection in Legal Opinion Word Embeddings
Sean Matthews, John Hudzina, Dawn Sepehr
Interactive Visualizations of Word Embeddings for K-12 Students
Saptarashmi Bandyopadhyay, Jason Xu, Neel Pawar et al.
AI Snap! Blocks for Speech Input and Output, Computer Vision, Word Embeddings, and Neural Net Creation, Training, and Use
Ken Kahn, Ramana Prasad, Gayathri Veera
JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio et al.
SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment
Maurício Gruppi, Sibel Adalı, Pin-Yu Chen
Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models
Shotaro Ishihara, Hiromu Takahashi, Hono Shirai
Affective Retrofitted Word Embeddings
Sapan Shah, Sreedhar Reddy, Pushpak Bhattacharyya
Analogy-Guided Evolutionary Pretraining of Binary Word Embeddings
R. Alexander Knipper, Md. Mahadi Hassan, Mehdi Sadi et al.
Exploring Nominal Coercion in Semantic Spaces with Static and Contextualized Word Embeddings
Chenxin Liu, Emmanuele Chersoni
Domain-specific Evaluation of Word Embeddings for Philosophical Text using Direct Intrinsic Evaluation
Goya van Boven, Jelke Bloem
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation
Jason Hoelscher-Obermaier, Edward Stevinson, Valentin Stauber et al.
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings
Jiangbin Zheng, Yile Wang, Ge Wang et al.
Learning Bias-reduced Word Embeddings Using Dictionary Definitions
Haozhe An, Xiaojiang Liu, Donald Zhang
Seeing the advantage: visually grounding word embeddings to better capture human semantic knowledge
Danny Merkx, Stefan Frank, Mirjam Ernestus
A Neural Model for Compositional Word Embeddings and Sentence Processing
Shalom Lappin, Jean-Philippe Bernardy