Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned
Language Models

Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models

16 May 2023

Na Li

Steven Schockaert

Papers citing "Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models"

7 / 7 papers shown

Title
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy Na Li Zied Bouraoui Steven Schockaert 27 9 0 22 May 2023
Unsupervised Lexical Substitution with Decontextualised Embeddings Takashi Wada Timothy Baldwin Yuji Matsumoto Jey Han Lau 88 6 0 17 Sep 2022
A Property Induction Framework for Neural Language Models Kanishka Misra Julia Taylor Rayz Allyson Ettinger 21 12 0 13 May 2022
Contextual Semantic Embeddings for Ontology Subsumption Prediction Jiaoyan Chen Yuan He Yuxia Geng Ernesto Jiménez-Ruiz Hang Dong Ian Horrocks 33 49 0 20 Feb 2022
BERTMap: A BERT-based Ontology Alignment System Yuan He Jiaoyan Chen Denvar Antonyrajah Ian Horrocks 27 82 0 05 Dec 2021
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models Qianchu Liu Fangyu Liu Nigel Collier Anna Korhonen Ivan Vulić 128 21 0 19 Sep 2021
All Bark and No Bite: Rogue Dimensions in Transformer Language Models Obscure Representational Quality William Timkey Marten van Schijndel 213 110 0 09 Sep 2021