static embedding

A Comparative Study of Static and Contextual Embeddings for Analyzing Semantic Changes in Medieval Latin Charters COLING 2025 Debiasing Static Embeddings for Hate Speech Detection ACL 2025 Rethinking Light Decoder-based Solvers for Vehicle Routing Problems ICLR 2025 Vector Spaces for Quantifying Disparity of Multiword Expressions in Annotated Text ACL 2024 Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space EACL 2023 Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias Metrics EMNLP 2023 „Mann“ is to “Donna” as「国王」is to « Reine » Adapting the Analogy Task for Multilingual and Contextual Embeddings ACL 2023 Reconstruction Probing ACL 2023 Representation of Lexical Stylistic Features in Language Models’ Embedding Space ACL 2023 Combining Static and Contextualised Multilingual Embeddings ACL 2022 Exploring Nominal Coercion in Semantic Spaces with Static and Contextualized Word Embeddings AACL 2022 How about Time? Probing a Multilingual Language Model for Temporal Relations COLING 2022 Large Scale Substitution-based Word Sense Induction ACL 2022 On the Curious Case of l2 norm of Sense Embeddings EMNLP 2022 Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models EMNLP 2022 UAlberta at LSCDiscovery: Lexical Semantic Change Detection via Word Sense Disambiguation ACL 2022 Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings ACL 2022 When Polysemy Matters: Modeling Semantic Categorization with Word Embeddings NAACL 2022 Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives ACL 2021 Multi-task Learning Using a Combination of Contextualised and Static Word Embeddings for Arabic Sarcasm Detection and Sentiment Analysis EACL 2021 Obtaining Better Static Word Embeddings Using Contextual Embedding Models ACL 2021 Static Embeddings as Efficient Knowledge Bases? NAACL 2021 ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries EMNLP 2021 Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection SemEval 2020 Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings ACL 2020