Distilling Relation Embeddings from Pre-trained Language Models

21 September 2021

Papers citing "Distilling Relation Embeddings from Pre-trained Language Models"

7 / 7 papers shown

Title
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation Representation Shuyi Li Shaojuan Wu Xiaowang Zhang Zhiyong Feng 37 0 0 13 Jun 2024
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes Chengxu Zhuang Evelina Fedorenko Jacob Andreas 20 10 0 20 Oct 2023
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities Asahi Ushio Jose Camacho-Collados Steven Schockaert 19 1 0 24 May 2023
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,916 0 31 Dec 2020
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets Chuanrong Li Lin Shengshuo Leo Z. Liu Xinyi Wu Xuhui Zhou Shane Steinert-Threlkeld VLM 128 38 0 16 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,586 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,584 0 03 Sep 2019