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An Empirical Study on Large-Scale Multi-Label Text Classification
  Including Few and Zero-Shot Labels

An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels

4 October 2020
Ilias Chalkidis
Manos Fergadiotis
Sotiris Kotitsas
Prodromos Malakasiotis
Nikolaos Aletras
Ion Androutsopoulos
    VLM
    AI4TS
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Papers citing "An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels"

14 / 14 papers shown
Title
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Xiang Li
Pin-Yu Chen
Wenqi Wei
34
3
0
06 Oct 2024
Making LLMs Worth Every Penny: Resource-Limited Text Classification in
  Banking
Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking
Lefteris Loukas
Ilias Stogiannidis
Odysseas Diamantopoulos
Prodromos Malakasiotis
Stavros Vassos
10
43
0
10 Nov 2023
An Exploration of Encoder-Decoder Approaches to Multi-Label
  Classification for Legal and Biomedical Text
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text
Yova Kementchedjhieva
Ilias Chalkidis
26
21
0
09 May 2023
Bayesian Optimization of Catalysis With In-Context Learning
Bayesian Optimization of Catalysis With In-Context Learning
M. C. Ramos
Shane S. Michtavy
Marc D. Porosoff
Andrew D. White
BDL
44
30
0
11 Apr 2023
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack
Julian McAuley
Zachary Chase Lipton
Saurabh Garg
VLM
21
79
0
06 Feb 2023
PLM-ICD: Automatic ICD Coding with Pretrained Language Models
PLM-ICD: Automatic ICD Coding with Pretrained Language Models
Chao-Wei Huang
Shang-Chi Tsai
Yun-Nung Chen
26
49
0
12 Jul 2022
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
ICDBigBird: A Contextual Embedding Model for ICD Code Classification
George Michalopoulos
Michal Malyska
Nicola Sahar
Alexander Wong
Helen H. Chen
17
20
0
21 Apr 2022
LitMC-BERT: transformer-based multi-label classification of biomedical
  literature with an application on COVID-19 literature curation
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation
Qingyu Chen
Jingcheng Du
Alexis Allot
Zhiyong Lu
16
25
0
19 Apr 2022
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
Lefteris Loukas
Manos Fergadiotis
Ilias Chalkidis
Eirini Spyropoulou
Prodromos Malakasiotis
Ion Androutsopoulos
G. Paliouras
15
56
0
12 Mar 2022
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research
  for Language Understanding Tasks
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
Aakanksha Naik
J. Lehman
Carolyn Rose
35
7
0
02 Nov 2021
MultiEURLEX -- A multi-lingual and multi-label legal document
  classification dataset for zero-shot cross-lingual transfer
MultiEURLEX -- A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer
Ilias Chalkidis
Manos Fergadiotis
Ion Androutsopoulos
AILaw
16
106
0
02 Sep 2021
Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK
  Framework: A Self-Distillation Approach
Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach
Benjamin Ampel
Sagar Samtani
Steven Ullman
Hsinchun Chen
25
35
0
03 Aug 2021
The Emerging Trends of Multi-Label Learning
The Emerging Trends of Multi-Label Learning
Weiwei Liu
Haobo Wang
Xiaobo Shen
Ivor W. Tsang
38
252
0
23 Nov 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
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