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A Multi-Grained Self-Interpretable Symbolic-Neural Model For
  Single/Multi-Labeled Text Classification

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification

6 March 2023
Xiang Hu
Xinyu Kong
Kewei Tu
    MILM
    BDL
ArXivPDFHTML

Papers citing "A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification"

6 / 6 papers shown
Title
Unsupervised Morphological Tree Tokenizer
Unsupervised Morphological Tree Tokenizer
Qingyang Zhu
Xiang Hu
Pengyu Ji
Wei Wu
Kewei Tu
26
0
0
21 Jun 2024
Generative Pretrained Structured Transformers: Unsupervised Syntactic
  Language Models at Scale
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale
Xiang Hu
Pengyu Ji
Qingyang Zhu
Wei Wu
Kewei Tu
LRM
30
4
0
13 Mar 2024
Augmenting Transformers with Recursively Composed Multi-grained
  Representations
Augmenting Transformers with Recursively Composed Multi-grained Representations
Xiang Hu
Qingyang Zhu
Kewei Tu
Wei Wu
21
3
0
28 Sep 2023
Perturbation-based Self-supervised Attention for Attention Bias in Text
  Classification
Perturbation-based Self-supervised Attention for Attention Bias in Text Classification
Hu Feng
Zhenxi Lin
Qianli Ma
28
4
0
25 May 2023
"Will You Find These Shortcuts?" A Protocol for Evaluating the
  Faithfulness of Input Salience Methods for Text Classification
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Jasmijn Bastings
Sebastian Ebert
Polina Zablotskaia
Anders Sandholm
Katja Filippova
110
75
0
14 Nov 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,950
0
20 Apr 2018
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