mlsanityData to 7 Oct 2026

Improve Text Classification Accuracy with Intent Information

arXiv 2212.07649 ↗First posted 15 Dec 2022cs.CLcited by 0

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Abstract (arXiv)

Text classification, a core component of task-oriented dialogue systems, attracts continuous research from both the research and industry community, and has resulted in tremendous progress. However, existing method does not consider the use of label information, which may weaken the performance of text classification systems in some token-aware scenarios. To address the problem, in this paper, we introduce the use of label information as label embedding for the task of text classification and achieve remarkable performance on benchmark dataset.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 15 of its 23 references that are in the map. First posted on arXiv 15 Dec 2022.

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15 of 23 references.

References · 15

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  4. 2020DynaBERT: Dynamic BERT with Adaptive Width and Depthcited by 246
  5. 2020SLURP: A Spoken Language Understanding Resource Packagecited by 197
  6. 2019BERT for Joint Intent Classification and Slot Fillingcited by 195
  7. 2018Joint Embedding of Words and Labels for Text Classificationcited by 69
  8. 2019Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representationscited by 36
  9. 2022Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentationcited by 22
  10. 2019Learning ASR-Robust Contextualized Embeddings for Spoken Language Understandingcited by 20
  11. 2020Adapting Pretrained Transformer to Lattices for Spoken Language Understandingcited by 12
  12. 2020PIN: A Novel Parallel Interactive Network for Spoken Language Understandingcited by 11
3 more
  1. 2021Towards Joint Intent Detection and Slot Filling via Higher-order Attentioncited by 11
  2. 2019Spoken Language Intent Detection using Confusion2Veccited by 8
  3. 2022Contrastive Learning for Improving ASR Robustness in Spoken Language Understandingcited by 4

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