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Intent Classification

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보존된 평가 기록: 10

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/daeyongkwon98/intent_classification

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Predicting User Intents and Musical Attributes from Music Discovery Conversations

https://github.com/davialvb/intent-citation-network

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Leveraging GANs for citation intent classification and its impact on citation network analysis

https://github.com/elementai/data-augmentation-with-llms

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Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

https://github.com/fatemafaria142/Uddessho-An-Benchmark-Dataset-for-Multimodal-Author-Intent-Classification-in-Bangla-Language

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Uddessho: An Extensive Benchmark Dataset for Multimodal Author Intent Classification in Low-Resource Bangla Language

https://github.com/fdschmidt93/fleurs-slu

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Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding

https://github.com/frank7li/generating-hard-negative-out-of-scope-data-with-chatgpt-for-intent-classification

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Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification

https://github.com/gcunhase/StackedDeBERT

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Stacked DeBERT: All Attention in Incomplete Data for Text Classification

https://github.com/google/example_extrapolation

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Neural Data Augmentation via Example Extrapolation

https://github.com/gt4sd/zberta

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Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection

https://github.com/gt4sd/zero-shot-bert-adapters

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Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection

https://github.com/gxlarson/redwood

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Redwood: Using Collision Detection to Grow a Large-Scale Intent Classification Dataset

https://github.com/hdzhang-code/dftplus

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Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training

https://github.com/henrypengzou/testnuc

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TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency

https://github.com/huawei-noah/noah-research

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Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection

https://github.com/hyunsoocho77/lacl-official

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Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble

https://github.com/idiap/slu_representations

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Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks

https://github.com/idiap/translation-aided-slu

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The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation

https://github.com/inimah/protoinfomax

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ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection

https://github.com/jahid006/gan-bnbert

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Bengali Intent Classification with Generative Adversarial BERT

https://github.com/jianguoz/Few-Shot-Intent-Detection

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Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection

https://github.com/juice500ml/phonetic_semantic_probing

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Self-Supervised Speech Representations are More Phonetic than Semantic

https://github.com/kinit-sk/Crowd-vs-ChatGPT-Crowdsourcing-of-paraphrases-for-intent-classification

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ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness

https://github.com/kinit-sk/crowd-vs-gpt-intent-class

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ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness

https://github.com/kumar-shridhar/Know-Your-Intent

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Subword Semantic Hashing for Intent Classification on Small Datasets

https://github.com/lbasyal/Intent_classification

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Augmenting Automation: Intent-Based User Instruction Classification with Machine Learning

https://github.com/liyanhuaa/mogb

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Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

https://github.com/luka-group/ddr

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Dense Retrieval as Indirect Supervision for Large-space Decision Making

https://github.com/lxk00/clap

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Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary

https://github.com/mainlp/auxtasks-bavarian-sid

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Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study

https://github.com/mechanicalsea/lighthubert

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LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

https://github.com/megagonlabs/emu

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Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization

https://github.com/microsoft/Search4Code

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Search4Code: Code Search Intent Classification Using Weak Supervision

https://github.com/mifei/st-tod

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Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems

https://github.com/mtran14/dp_w2v2

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A Speech Representation Anonymization Framework via Selective Noise Perturbation

https://github.com/myt517/gid_benchmark

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Generalized Intent Discovery: Learning from Open World Dialogue System

https://github.com/opengptx/illuminer

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ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler

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