https://github.com/mct10/repcodec
공식 코드RepCodec: A Speech Representation Codec for Speech Tokenization
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/michael-wzhu/PromptCBLUE
공식 코드PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain
https://github.com/microsoft/dialoglm
공식 코드DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization
https://github.com/miulab/spokencse
공식 코드Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
https://github.com/momohuang/FlowQA
공식 코드FlowQA: Grasping Flow in History for Conversational Machine Comprehension
https://github.com/moncefbenaicha/spoken-ner
공식 코드Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems
https://github.com/moore3930/SlotRefine
공식 코드SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling
https://github.com/mtkresearch/taste-spokenlm
공식 코드TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
https://github.com/mubtasimahasan/dm-codec
공식 코드DM-Codec: Distilling Multimodal Representations for Speech Tokenization
https://github.com/muyeby/AMR-Dialogue
공식 코드https://github.com/nii-yamagishilab/AfriHuBERT
공식 코드AfriHuBERT: A self-supervised speech representation model for African languages
https://github.com/observeai-research/nli-fsl
공식 코드Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
https://github.com/patrick-tssn/VSTAR
공식 코드https://github.com/pgurunath/confusion2vec_2.0
공식 코드Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords
https://github.com/pgurunath/slu_confusion2vec
공식 코드https://github.com/pswietojanski/slurp
공식 코드https://github.com/pzelasko/daseg
공식 코드https://github.com/rita-nlp/italic
공식 코드https://github.com/ruanvdmerwe/triplet-entropy-loss
공식 코드Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
https://github.com/ryota-komatsu/speaker_disentangled_hubert
공식 코드Self-Supervised Syllable Discovery Based on Speaker-Disentangled HuBERT
https://github.com/samsung/mt-llm-nlu
공식 코드Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages
https://github.com/shashikg/lid-code-switching
공식 코드Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed Speech
https://github.com/shawx825/hidialog
공식 코드Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention
https://github.com/shorit/ratdial
공식 코드Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
https://github.com/simplc/WCN-BERT
공식 코드https://github.com/skit-ai/map-mix
공식 코드https://github.com/skit-ai/speech-to-intent-dataset
공식 코드https://github.com/skywalker023/prosocial-dialog
공식 코드ProsocialDialog: A Prosocial Backbone for Conversational Agents
https://github.com/snipsco/nlu-benchmark
공식 코드https://github.com/snipsco/snips-nlu
공식 코드https://github.com/speechbrain/speechbrain
공식 코드Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
https://github.com/speechbrain/speechbrain/tree/develop/recipes/timers-and-such
공식 코드Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
https://github.com/splend1d/t5lephone
공식 코드https://github.com/suvodipdey/dialogen
공식 코드DialoGen: Generalized Long-Range Context Representation for Dialogue Systems
https://github.com/syoung7388/ccl
공식 코드Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding
https://github.com/sz128/DAAT_SLU
공식 코드Data Augmentation with Atomic Templates for Spoken Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.