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Transformers are Short Text Classifiers: A Study of Inductive Short Text
  Classifiers on Benchmarks and Real-world Datasets

Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets

30 November 2022
Fabian Karl
A. Scherp
    VLM
ArXivPDFHTML

Papers citing "Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets"

11 / 11 papers shown
Title
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works
Taisei Kanda
Mingzhe Jin
Wataru Zaitsu
37
0
0
11 Apr 2025
Efficient Detection of Toxic Prompts in Large Language Models
Efficient Detection of Toxic Prompts in Large Language Models
Yi Liu
Junzhe Yu
Huijia Sun
Ling Shi
Gelei Deng
Yuqi Chen
Yang Liu
29
4
0
21 Aug 2024
Focus on the Core: Efficient Attention via Pruned Token Compression for
  Document Classification
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification
Jungmin Yun
Mihyeon Kim
Youngbin Kim
69
9
0
03 Jun 2024
Combining Denoising Autoencoders with Contrastive Learning to fine-tune
  Transformer Models
Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models
Alejo López-Ávila
Víctor Suárez-Paniagua
19
1
0
23 May 2024
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses
Lois Rink
Job Meijdam
David Graus
13
1
0
07 Feb 2024
AllTogether: Investigating the Efficacy of Spliced Prompt for Web Navigation using Large Language Models
Jiarun Liu
Wentao Hu
Chunhong Zhang
14
2
0
20 Oct 2023
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for
  Subjectivity Detection in News Articles
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles
Georgi Pachov
Dimitar Dimitrov
Ivan Koychev
Preslav Nakov
10
4
0
13 Sep 2023
Leveraging Knowledge Graph Embeddings to Enhance Contextual
  Representations for Relation Extraction
Leveraging Knowledge Graph Embeddings to Enhance Contextual Representations for Relation Extraction
F. Laleye
Loïc Rakotoson
S. Massip
10
1
0
07 Jun 2023
Multi-label classification of open-ended questions with BERT
Multi-label classification of open-ended questions with BERT
Matthias Schonlau
Julia Weiss
Jan Marquardt
VLM
11
0
0
06 Apr 2023
Are We Really Making Much Progress in Text Classification? A Comparative
  Review
Are We Really Making Much Progress in Text Classification? A Comparative Review
Lukas Galke
Andor Diera
Bao Xin Lin
Bhakti Khera
Tim Meuser
Tushar Singhal
Fabian Karl
A. Scherp
VLM
19
3
0
08 Apr 2022
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
250
13,347
0
25 Aug 2014
1