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Intent Classification

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Intent Classification is the task of correctly labeling a natural language utterance from a predetermined set of intents

Source: Multi-Layer Ensembling Techniques for Multilingual Intent Classification

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ppfliu/oos-intent-recognition

공식 코드

Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling

https://github.com/projectdossier/intents_labelling

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ORCAS-I: Queries Annotated with Intent using Weak Supervision

https://github.com/pswietojanski/slurp

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SLURP: A Spoken Language Understanding Resource Package

https://github.com/rita-nlp/italic

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ITALIC: An Italian Intent Classification Dataset

https://github.com/ruoyunlp/dataless-intent-classification

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Exploring Description-Augmented Dataless Intent Classification

https://github.com/salesforce/fewxc

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Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning

https://github.com/servicenow/tk-knn

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TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification

https://github.com/skit-ai/slu-prosody

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Improving End-to-End SLU performance with Prosodic Attention and Distillation

https://github.com/skit-ai/speech-to-intent-dataset

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Skit-S2I: An Indian Accented Speech to Intent dataset

https://github.com/slanglab-nu/autoencoder-oos

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A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks

https://github.com/syoung7388/ccl

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Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding

https://github.com/tadeephuy/vimq

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ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development

https://github.com/thuiar/Adaptive-Decision-Boundary

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Deep Open Intent Classification with Adaptive Decision Boundary

https://github.com/wasiahmad/PolicyIE

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Intent Classification and Slot Filling for Privacy Policies

https://github.com/williamgazeley/confirm

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Conversational Factor Information Retrieval Model (ConFIRM)

https://github.com/willyhc22/instructtods

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InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems

https://github.com/xliuhw/NLU-Evaluation-Data

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Benchmarking Natural Language Understanding Services for building Conversational Agents

https://github.com/zifengcheng/slmm

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Learning to Classify Open Intent via Soft Labeling and Manifold Mixup

https://github.com/zyh190507/open-world-lottery

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The Open-World Lottery Ticket Hypothesis for OOD Intent Classification

https://github.com/zzz47zzz/codebase-for-incremental-learning-with-llm

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Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models

https://github.com/zzz47zzz/pretrained-lm-for-incremental-learning

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Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models

https://gitlab.com/Jaco-Assistant/finstreder

공식 코드

Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.