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Dialogue Understanding

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

https://bitbucket.org/dascim/acl2018_abssumm

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Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

https://bitbucket.org/guokan_shang/abscomm

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Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding

https://bitbucket.org/robvanderg/xsid

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From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

https://github.com/193746/jsrsl

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Joint Automatic Speech Recognition And Structure Learning For Better Speech Understanding

https://github.com/AaronTengDeChuan/MLWA-Chinese-SLU

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Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding

https://github.com/Adaxry/CM-Net

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CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding

https://github.com/Alab-NII/onecommon

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A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context

https://github.com/Berkeley-Speech-Group/sylber

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Sylber: Syllabic Embedding Representation of Speech from Raw Audio

https://github.com/ColingPaper2018/DialogueAct-Tagger

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ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents

https://github.com/CoraJung/flexible-input-slu

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Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs

https://github.com/F2-Song/PromptSLU

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A Unified Framework for Multi-intent Spoken Language Understanding with prompting

https://github.com/HIT-SCIR/Molweni

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Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure

https://github.com/HPI-DeepLearning/crnn-lid

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Language Identification Using Deep Convolutional Recurrent Neural Networks

https://github.com/HarlinLee/brillsson

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Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices

https://github.com/Jiang-Yidi/TransformerDistillation-SLU

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Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification

https://github.com/Kaleidophon/deep-significance

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From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding

https://github.com/LeePleased/StackPropagation-SLU

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A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding

https://github.com/Liang-Qiu/is13

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Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task

https://github.com/LooperXX/AGIF

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AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling

https://github.com/Magic-Ma-tech/Audio-Jailbreak-Attacks

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Audio Jailbreak Attacks: Exposing Vulnerabilities in SpeechGPT in a White-Box Framework

https://github.com/Microsoft/SDNet

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SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering

https://github.com/MiuLab/Lattice-ELMo

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Learning Spoken Language Representations with Neural Lattice Language Modeling

https://github.com/MiuLab/Lattice-SLU

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Learning Spoken Language Representations with Neural Lattice Language Modeling

https://github.com/MiuLab/SpokenVec

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Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding

https://github.com/MiuLab/Time-SLU

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Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding

https://github.com/MiuLab/VisualDialog

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Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models

https://github.com/NVIDIA/NeMo

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Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer

https://github.com/OriShapira/ENDow

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Measuring the Effect of Transcription Noise on Downstream Language Understanding Tasks

https://github.com/PolyAI-LDN/conversational-datasets

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A Repository of Conversational Datasets

https://github.com/Qatar-Computing-Research-Institute/dialectID

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Automatic Dialect Detection in Arabic Broadcast Speech

https://github.com/SJY8460/SLM

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Do Large Language Model Understand Multi-Intent Spoken Language ?

https://github.com/Sanyuan-Chen/C2C-DA

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C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling

https://github.com/Vernacular-ai/N-Best-ASR-Transformer

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N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses

https://github.com/aalto-speech/slurpfood

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Out-of-distribution generalisation in spoken language understanding

https://github.com/aarontengdechuan/pro-han

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Pro-HAN: A Heterogeneous Graph Attention Network for Profile-Based Spoken Language Understanding

https://github.com/afsara-ben/speechcache

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Speech Understanding on Tiny Devices with A Learning Cache

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