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A Comparison of SVM against Pre-trained Language Models (PLMs) for Text
  Classification Tasks

A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks

4 November 2022
Yasmen Wahba
N. Madhavji
John Steinbacher
    VLM
ArXiv (abs)PDFHTML

Papers citing "A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks"

14 / 14 papers shown
Title
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFinMQAI4MH
144
854
0
14 Jun 2021
PTR: Prompt Tuning with Rules for Text Classification
PTR: Prompt Tuning with Rules for Text Classification
Xu Han
Weilin Zhao
Ning Ding
Zhiyuan Liu
Maosong Sun
VLM
102
526
0
24 May 2021
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan
Ana Marasović
Swabha Swayamdipta
Kyle Lo
Iz Beltagy
Doug Downey
Noah A. Smith
VLMAI4CECLL
155
2,428
0
23 Apr 2020
BERT Goes to Law School: Quantifying the Competitive Advantage of Access
  to Large Legal Corpora in Contract Understanding
BERT Goes to Law School: Quantifying the Competitive Advantage of Access to Large Legal Corpora in Contract Understanding
Emad Elwany
David A. Moore
Gaurav Oberoi
AILawELM
41
34
0
01 Nov 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
234
7,520
0
02 Oct 2019
FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
Dogu Araci
AIFin
118
648
0
27 Aug 2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Hao Tian
Hua Wu
Haifeng Wang
CLL
87
810
0
29 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
232
8,433
0
19 Jun 2019
Rare Words: A Major Problem for Contextualized Embeddings And How to Fix
  it by Attentive Mimicking
Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking
Timo Schick
Hinrich Schütze
59
97
0
14 Apr 2019
Publicly Available Clinical BERT Embeddings
Publicly Available Clinical BERT Embeddings
Emily Alsentzer
John R. Murphy
Willie Boag
W. Weng
Di Jin
Tristan Naumann
Matthew B. A. McDermott
AI4MH
158
1,979
0
06 Apr 2019
SciBERT: A Pretrained Language Model for Scientific Text
SciBERT: A Pretrained Language Model for Scientific Text
Iz Beltagy
Kyle Lo
Arman Cohan
148
2,974
0
26 Mar 2019
BioBERT: a pre-trained biomedical language representation model for
  biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee
Wonjin Yoon
Sungdong Kim
Donghyeon Kim
Sunkyu Kim
Chan Ho So
Jaewoo Kang
OOD
167
5,659
0
25 Jan 2019
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
216
11,556
0
15 Feb 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
903
6,796
0
26 Sep 2016
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