https://github.com/knalin55/leeets-dial
공식 코드LEEETs-Dial: Linguistic Entrainment in End-to-End Task-oriented Dialogue systems
Papers with Code 아카이브
Dialogue
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 21
- 평가표
- 1
- 보존된 평가 기록
- 1
Dialogue is notoriously hard to evaluate. Past approaches have used human evaluation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kolk/ConfnetPointerGenBaseline
공식 코드ConfNet2Seq: Full Length Answer Generation from Spoken Questions
https://github.com/koudounasalkis/CLUES
공식 코드A Contrastive Learning Approach to Mitigate Bias in Speech Models
https://github.com/koudounasalkis/UnSLU-BENCH
공식 코드"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
https://github.com/koudounasalkis/slu-kan
공식 코드"KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding
https://github.com/lancopku/AMM
공식 코드https://github.com/lancopku/DPGAN
공식 코드https://github.com/land-fbk/prodigy-dataset
공식 코드https://github.com/lanyu0303/afl
공식 코드Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
https://github.com/layneins/unsupervised_dialo_disentanglement
공식 코드Unsupervised Conversation Disentanglement through Co-Training
https://github.com/lcs2-iiitd/emnlp-coffee
공식 코드https://github.com/lcs2-iiitd/sparta_wsdm2022
공식 코드https://github.com/lddsdu/VRBot
공식 코드Semi-Supervised Variational Reasoning for Medical Dialogue Generation
https://github.com/leduckhai/multimed
공식 코드MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder
https://github.com/lemon234071/AdaLabel
공식 코드https://github.com/lemonsis/ctrlstruct
공식 코드CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation
https://github.com/lemuria-wchen/imcs21
공식 코드A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets
https://github.com/lexmen318/MultiWOZ-coref
공식 코드https://github.com/lexmen318/MultiWOZ_2.3
공식 코드https://github.com/lichuangnus/uno-dst
공식 코드UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
https://github.com/lightchen233/gl-clef
공식 코드https://github.com/lightchen233/openslu
공식 코드OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding
https://github.com/lingjzhu/spoken_sent_embedding
공식 코드Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddings
https://github.com/linkyouhj/enstom
공식 코드EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance
https://github.com/linweizhedragon/knowledge-aware-graph-enhanced-gpt-2-for-dialogue-state-tracking
공식 코드Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
https://github.com/lipiji/Guyu
공식 코드https://github.com/lisk123/uccr
공식 코드User-Centric Conversational Recommendation with Multi-Aspect User Modeling
https://github.com/litterbrother-xiao/overview-of-non-autoregressive-applications
공식 코드A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
https://github.com/liutianlin0121/Conceptor-Negation-WV
공식 코드Unsupervised Post-processing of Word Vectors via Conceptor Negation
https://github.com/looperxx/proslu
공식 코드Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding
https://github.com/lorenlugosch/end-to-end-SLU
공식 코드Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models
https://github.com/lpq29743/cedual
공식 코드Modeling Content-Emotion Duality via Disentanglement for Empathetic Conversation
https://github.com/lumia-group/rasat
공식 코드RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
https://github.com/lwgkzl/MedDG
공식 코드MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation
https://github.com/lwgkzl/multiesc
공식 코드Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning
https://github.com/lxchtan/DSTC9-Track1
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.