semantic shift detection

Explicit Bayesian Inference to Uncover the Latent Themes of Large Language Models ACL 2025 Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable AISTATS 2025 Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models EMNLP 2023 A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis NeurIPS 2022 Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022 SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment AAAI 2022 TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media COLING 2022 Tracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings EMNLP 2022 What is Done is Done: an Incremental Approach to Semantic Shift Detection ACL 2022 Detecting Contact-Induced Semantic Shifts: What Can Embedding-Based Methods Do in Practice? EMNLP 2021 Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks AAAI 2021 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings EMNLP 2021 Aligning Vector-spaces with Noisy Supervised Lexicon NAACL 2019