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Dialogue Understanding

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코드

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

https://github.com/elianap/speechxai

공식 코드

Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features

https://github.com/espnet/espnet

공식 코드

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

https://github.com/espnet/espnet_onnx

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ESPnet-ONNX: Bridging a Gap Between Research and Production

https://github.com/facebookresearch/fairseq

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STOP: A dataset for Spoken Task Oriented Semantic Parsing

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

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

https://github.com/gglab-ku/open-vocab-dialogue-understanding

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A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding

https://github.com/goodbai-nlp/sem-plm

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Semantic-based Pre-training for Dialogue Understanding

https://github.com/hahahawu/CSAGN

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CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling

https://github.com/hertin/wavprompt

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WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models

https://github.com/hlt-mt/speech-massive

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Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond

https://github.com/idiap/atco2-corpus

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ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control Communications

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/importpandas/mivs_birgat

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A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames

https://github.com/innodatalabs/innodata-llm-safety

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Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations

https://github.com/jefflai108/Semi-Supervsied-Spoken-Language-Understanding-PyTorch

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Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining

https://github.com/jensen-w/retqa

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RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

https://github.com/jensenw1/RETQA

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RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector

https://github.com/jgkimi/Decay-Function-Free-Time-Aware

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Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding

https://github.com/jiho283/simulator

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DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents

https://github.com/kaishxu/DFMed

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Medical Dialogue Generation via Dual Flow Modeling

https://github.com/kangbrilliant/DCA-Net

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A Co-Interactive Transformer for Joint Slot Filling and Intent Detection

https://github.com/koudounasalkis/CLUES

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A Contrastive Learning Approach to Mitigate Bias in Speech Models

https://github.com/koudounasalkis/UnSLU-BENCH

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"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding

https://github.com/koudounasalkis/slu-kan

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"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding

https://github.com/lcs2-iiitd/emnlp-coffee

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From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues

https://github.com/leduckhai/multimed

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MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder

https://github.com/lemuria-wchen/imcs21

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A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets

https://github.com/lightchen233/gl-clef

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GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding

https://github.com/lightchen233/openslu

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OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding

https://github.com/lingjzhu/spoken_sent_embedding

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Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings

https://github.com/lisk123/uccr

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User-Centric Conversational Recommendation with Multi-Aspect User Modeling

https://github.com/looperxx/proslu

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Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding

https://github.com/lorenlugosch/end-to-end-SLU

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Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models

https://github.com/marekkubis/bteval

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Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors

https://github.com/maxxkia/g-ssl-crf

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Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data

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