Co-occurring keywords · papers mentioning both
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