Papers with Code 아카이브
Dialogue Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bearblog/CoreRank
https://github.com/chia-hsuan-lee/spoken-squad
https://github.com/code-implementation1/Code7/tree/main/SDNet
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/declare-lab/conv-emotion
https://github.com/digitalphonetics/speaker-anonymization
https://github.com/dmitriy-serdyuk/arxiv2kindle
https://github.com/dscripka/openwakeword
Speech Model Pre-training for End-to-End Spoken Language Understanding
https://github.com/facebookresearch/accentor
https://github.com/glamor-usc/teach_tatc
https://github.com/gooofy/zbrain
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/guxm2021/MM_ALT
https://github.com/guxm2021/alt_speechbrain
https://github.com/guxm2021/svt_speechbrain
https://github.com/idiap/bert-text-diarization-atc
https://github.com/idiap/w2v2-air-traffic
https://github.com/leondiao0427/seas
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming
https://github.com/levis0045/snips-nlu
https://github.com/lorenlugosch/pretrain_speech_model
Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models
https://github.com/maikezuefle/contr-pretraining
https://github.com/modelscope/FunCodec
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
https://github.com/mpandeydev/SDnetmod
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/nid989/teach_edh
https://github.com/nlpdata/dream
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension
https://github.com/pengbaolin/soloist
Data Augmentation for Spoken Language Understanding via Pretrained Language Models
https://github.com/ray075hl/Bi-Model-Intent-And-Slot
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
https://github.com/rush-d/spoken-language-identification
https://github.com/slp-rl/salmon
TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
https://github.com/sonos/nlu-benchmark
https://github.com/sonos/spoken-language-understanding-research-datasets
https://github.com/sunbopds/SDEN-Pytorch-master
Sequential Dialogue Context Modeling for Spoken Language Understanding
https://github.com/switchsyj/adae2ml-xsf
https://github.com/sxjscience/GluonNLP-Slot-Filling
Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents
https://github.com/thuiar/textoir-demo
https://github.com/trusthlt/dp-rewrite
https://github.com/valerielimyh/Intent_Recognition_using_BERT
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.