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Extraction of Atypical Aspects from Customer Reviews: Datasets and
  Experiments with Language Models

Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models

5 November 2023
Smita Nannaware
Erfan Al-Hossami
Razvan Bunescu
ArXivPDFHTML

Papers citing "Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models"

5 / 5 papers shown
Title
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
150
3,742
0
03 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
101
370
0
02 Sep 2021
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
137
2,730
0
05 Jun 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
409
20,114
0
23 Oct 2019
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
182
2,700
0
02 Sep 2015
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