mlsanityData to 7 Oct 2026

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

arXiv 2110.15063 ↗First posted 13 Sep 2021cs.CLcited by 24

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Abstract (arXiv)

TEXTOIR is the first integrated and visualized platform for text open intent recognition. It is composed of two main modules: open intent detection and open intent discovery. Each module integrates most of the state-of-the-art algorithms and benchmark intent datasets. It also contains an overall framework connecting the two modules in a pipeline scheme. In addition, this platform has visualized tools for data and model management, training, evaluation and analysis of the performance from different aspects. TEXTOIR provides useful toolkits and convenient visualized interfaces for each sub-module (Toolkit code: https://github.com/thuiar/TEXTOIR), and designs a framework to implement a complete process to both identify known intents and discover open intents (Demo code: https://github.com/thuiar/TEXTOIR-DEMO).

Key facts. Cited by 24 papers in the map (data through 7 Oct 2026). Builds on 19 of its 29 references that are in the map. First posted on arXiv 13 Sep 2021.

Builds on

19 of 29 references.

References · 19

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  5. 2015Towards Open Set Deep Networkscited by 533
  6. 2020Efficient Intent Detection with Dual Sentence Encoderscited by 419
  7. 2019An Evaluation Dataset for Intent Classification and Out-of-Scope Predictioncited by 378
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7 more
  1. 2017DOC: Deep Open Classification of Text Documentscited by 109
  2. 2019Multi-class Classification without Multi-class Labelscited by 100
  3. 2020Discovering New Intents with Deep Aligned Clusteringcited by 68
  4. 2019Deep Unknown Intent Detection with Margin Losscited by 66
  5. 2019Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinementcited by 56
  6. 2020Deep Open Intent Classification with Adaptive Decision Boundarycited by 56
  7. 2019Dialog Intent Induction with Deep Multi-View Clusteringcited by 20

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Cited by year

Citing papers per year: 2022: 7; 2023: 7; 2024: 5; 2025: 5.

24 papers.

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  1. 2022MIntRec: A New Dataset for Multimodal Intent Recognitioncited by 41
  2. 2022Generalized Category Discovery with Decoupled Prototypical Networkcited by 35
  3. 2022New Intent Discovery with Pre-training and Contrastive Learningcited by 28
  4. 2022Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systemscited by 28
  5. 2024MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversationscited by 25
  6. 2023IDAS: Intent Discovery with Abstractive Summarizationcited by 22
  7. 2022Learning Discriminative Representations and Decision Boundaries for Open Intent Detectioncited by 15
  8. 2023A Clustering Framework for Unsupervised and Semi-supervised New Intent Discoverycited by 9
  9. 2023ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detectioncited by 9
  10. 2022Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Datasetcited by 6
  11. 2023Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contextscited by 6
  12. 2024A Survey of Ontology Expansion for Conversational Understandingcited by 6
12 more
  1. 2025Deep Learning Approaches for Multimodal Intent Recognition: A Surveycited by 5
  2. 2024Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterancescited by 3
  3. 2025LANID: LLM-assisted New Intent Discoverycited by 3
  4. 2024Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classificationcited by 2
  5. 2025IPQA: A Benchmark for Core Intent Identification in Personalized Question Answeringcited by 2
  6. 2023Open World Classification with Adaptive Negative Samplescited by 1
  7. 2023IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discoverycited by 1
  8. 2022Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformerscited by 0
  9. 2023Utilisation of open intent recognition models for customer support intent detectioncited by 0
  10. 2024Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discoverycited by 0
  11. 2025DROID: Dual Representation for Out-of-Scope Intent Detectioncited by 0
  12. 2025Ellipsoid-Based Decision Boundaries for Open Intent Classificationcited by 0