word embedding

Stress Test Evaluation of Biomedical Word Embeddings NAACL 2021 Subword Mapping and Anchoring across Languages EMNLP 2021 SWEAT: Scoring Polarization of Topics across Different Corpora EMNLP 2021 Syntagmatic Word Embeddings for Unsupervised Learning of Selectional Preferences ACL 2021 Taking Notes on the Fly Helps Language Pre-Training ICLR 2021 Text Document Clustering: Wordnet vs. TF-IDF vs. Word Embeddings EACL 2021 TextEssence: A Tool for Interactive Analysis of Semantic Shifts Between Corpora NAACL 2021 The Chinese Remainder Theorem for Compact, Task-Precise, Efficient and Secure Word Embeddings EACL 2021 The Early Modern Dutch Mediascape. Detecting Media Mentions in Chronicles Using Word Embeddings and CRF EMNLP 2021 The More Detail, the Better? – Investigating the Effects of Semantic Ontology Specificity on Vector Semantic Classification with a Plains Cree / nêhiyawêwin Dictionary NAACL 2021 Towards a Comprehensive Understanding and Accurate Evaluation of Societal Biases in Pre-Trained Transformers NAACL 2021 Tracing variation in discourse connectives in translation and interpreting through neural semantic spaces EMNLP 2021 Tracking Semantic Change in Cognate Sets for English and Romance Languages ACL 2021 Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning EACL 2021 TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity SemEval 2021 UMUTeam at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Linguistic Features and Word Embeddings SemEval 2021 UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings EMNLP 2021 Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism EACL 2021 Using Sociolinguistic Variables to Reveal Changing Attitudes Towards Sexuality and Gender EMNLP 2021 Using Word Embedding to Reveal Monetary Policy Explanation Changes EMNLP 2021 ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries EMNLP 2021 WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover’s Distance in Sociocultural Analysis EMNLP 2021 Word2Fun: Modelling Words as Functions for Diachronic Word Representation NeurIPS 2021 Word Embeddings, Cosine Similarity and Deep Learning for Identification of Professions & Occupations in Health-related Social Media NAACL 2021 Word Equations: Inherently Interpretable Sparse Word Embeddings through Sparse Coding EMNLP 2021