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conftrace_

contextual embedding

248 papers

Papers

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph ACL 2022 Evaluating Contextual Embeddings and their Extraction Layers for Depression Assessment ACL 2022 Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task EMNLP 2022 Finetuning Latin BERT for Word Sense Disambiguation on the Thesaurus Linguae Latinae AACL 2022 Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions? EMNLP 2022 From BERT‘s Point of View: Revealing the Prevailing Contextual Differences ACL 2022 GetSmartMSEC at SemEval-2022 Task 6: Sarcasm Detection using Contextual Word Embedding with Gaussian model for Irony Type Identification SemEval 2022 HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection SemEval 2022 HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization SemEval 2022 IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweets COLING 2022 ICDBigBird: A Contextual Embedding Model for ICD Code Classification ACL 2022 Is anisotropy really the cause of BERT embeddings not being semantic? EMNLP 2022 Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics NAACL 2022 LexSubCon: Integrating Knowledge from Lexical Resources into Contextual Embeddings for Lexical Substitution ACL 2022 McPhraSy: Multi-Context Phrase Similarity and Clustering EMNLP 2022 Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models NAACL 2022 Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models EMNLP 2022 Predicting Long-Term Citations from Short-Term Linguistic Influence EMNLP 2022 Probing for Labeled Dependency Trees ACL 2022 Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models EMNLP 2022 Probing with Noise: Unpicking the Warp and Weft of Embeddings EMNLP 2022 Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words ACL 2022 Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let’s Keep It Simple EMNLP 2022 Team Stanford ACMLab at SemEval 2022 Task 4: Textual Analysis of PCL Using Contextual Word Embeddings SemEval 2022 Temporal Word Meaning Disambiguation using TimeLMs EMNLP 2022