Empirical Analysis of Dialogue Relation Extraction with Large Language Models

27 April 2024

Papers citing "Empirical Analysis of Dialogue Relation Extraction with Large Language Models"

8 / 8 papers shown

Title
Revisiting Large Language Models as Zero-shot Relation Extractors Guozheng Li Peng Wang Wenjun Ke KELM LRM ReLM 50 26 0 08 Oct 2023
GPT-RE: In-context Learning for Relation Extraction using Large Language Models Michele Focchi Fei Cheng Zhuoyuan Mao Qianying Liu Haiyue Song Jiwei Li Sadao Kurohashi LRM 41 90 0 03 May 2023
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention Xiao Liu Jian Zhang Heng Zhang Fuzhao Xue Yang You 37 13 0 29 Apr 2023
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! Yubo Ma Yixin Cao YongChing Hong Aixin Sun RALM 80 135 0 15 Mar 2023
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 211 207 0 05 Oct 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 322 4,077 0 24 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,657 0 15 Oct 2021
Graph Based Network with Contextualized Representations of Turns in Dialogue Bongseok Lee Y. Choi 60 69 0 09 Sep 2021