https://github.com/thusatlab/bert-lid
공식 코드BERT-LID: Leveraging BERT to Improve Spoken Language Identification
Papers with Code 아카이브
Dialogue Understanding
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/uds-lsv/da-lang-id
공식 코드https://github.com/umbertocappellazzo/CL_SLU
공식 코드https://github.com/wanghelin1997/aty-tts
공식 코드Improving fairness for spoken language understanding in atypical speech with Text-to-Speech
https://github.com/wangtianyiftd/dialogue
공식 코드Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
https://github.com/wangtianyiftd/dialogue_pretrain
공식 코드Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
https://github.com/warnikchow/coaudiotext
공식 코드Text Matters but Speech Influences: A Computational Analysis of Syntactic Ambiguity Resolution
https://github.com/waynewu6250/CaBERT-SLU
공식 코드A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection
https://github.com/xiaolinandy/slu-aug-prlm
공식 코드Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models
https://github.com/yarayx/livelongbench
공식 코드LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
https://github.com/yctam/dstc10_track2_task2
공식 코드Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors
https://github.com/yizhen20133868/Awesome-SLU-Survey
공식 코드A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
https://github.com/zhenwen-nlp/mathchat
공식 코드MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions
https://github.com/zliucr/crosslingual-slu
공식 코드Cross-lingual Spoken Language Understanding with Regularized Representation Alignment
https://gitlab.com/Jaco-Assistant/finstreder
공식 코드https://github.com/1053399472/CAISandSMP
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
https://github.com/2023-MindSpore-1/ms-code-218/tree/main/sdne
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/2023-MindSpore-4/Code6/tree/main/SDNet
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
https://github.com/ACE-VSIT/ACE-Ampethatic_bot
https://github.com/LeBenchmark/Interspeech2021
https://github.com/MetaronWang/StackPropagation-SLU-TF
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
https://github.com/MiuLab/SlotGated-SLU
https://github.com/Nilanshrajput/Intent_classification
https://github.com/Polly42Rose/SiriusIntentPredictionSlotFilling
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
https://github.com/Priyanshiguptaaa/Intent_Recognition_BERT
https://github.com/QData/TextAttack/blob/master/textattack/transformations/sentence_transformations/back_transcription.py
https://github.com/QwenLM/Qwen2.5-Omni
MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
https://github.com/RezisEwig/unity_speech
https://github.com/Rishabbh-Sahu/intent_and_slot_classification
https://github.com/SarthakVaswani/ace_bot
https://github.com/Tixierae/gow_tools
https://github.com/ZephyrChenzf/SF-ID-Network-For-NLU
A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
https://github.com/ai-agi/hicl
https://github.com/alibaba-damo-academy/FunASR
https://github.com/alibaba-damo-academy/funcodec
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT
https://github.com/awesomericky/Speech2Pickup
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.