https://bitbucket.org/ZimingLi/dg-irl-aaai2019
공식 코드Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning
Papers with Code 아카이브
Dialogue
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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://bitbucket.org/dascim/acl2018_abssumm
공식 코드https://bitbucket.org/guokan_shang/abscomm
공식 코드Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
https://bitbucket.org/guokan_shang/da-classification
공식 코드https://bitbucket.org/robvanderg/xsid
공식 코드https://github.com/193746/jsrsl
공식 코드Joint Automatic Speech Recognition And Structure Learning For Better Speech Understanding
https://github.com/27182812/LLM4ED
공식 코드https://github.com/934865517zjk/csim
공식 코드https://github.com/934865517zjk/simoap
공식 코드https://github.com/AaronTengDeChuan/MLWA-Chinese-SLU
공식 코드Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding
https://github.com/Adaxry/CM-Net
공식 코드CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
https://github.com/Alab-NII/dynamic-onecommon
공식 코드https://github.com/Alab-NII/onecommon
공식 코드A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context
https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/pace
공식 코드PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
https://github.com/BDBC-KG-NLP/PIN_EMNLP2020
공식 코드Parallel Interactive Networks for Multi-Domain Dialogue State Generation
https://github.com/BDBC-KG-NLP/TEN_EMNLP2020
공식 코드Neural Dialogue State Tracking with Temporally Expressive Networks
https://github.com/Berkeley-Speech-Group/sylber
공식 코드Sylber: Syllabic Embedding Representation of Speech from Raw Audio
https://github.com/ChenWu98/Coupled-VAE
공식 코드On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond
https://github.com/ClovaAI/ClovaCall
공식 코드https://github.com/ColingPaper2018/DialogueAct-Tagger
공식 코드ISO-Standard Domain-Independent Dialogue Act Tagging for Conversational Agents
https://github.com/CoraJung/flexible-input-slu
공식 코드Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs
https://github.com/CrickWu/Swtich-DDQ
공식 코드https://github.com/Damcy/cascadeLSTMDRL
공식 코드Cascaded LSTMs based Deep Reinforcement Learning for Goal-driven Dialogue
https://github.com/Deanplayerljx/tab-vcr
공식 코드TAB-VCR: Tags and Attributes based Visual Commonsense Reasoning Baselines
https://github.com/ElementAI/picard
공식 코드PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
https://github.com/F2-Song/PromptSLU
공식 코드A Unified Framework for Multi-intent Spoken Language Understanding with prompting
https://github.com/Franck-Dernoncourt/naacl2016
공식 코드Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
https://github.com/GuessWhatGame/referit
공식 코드https://github.com/H-Freax/Storm
공식 코드https://github.com/HCPLab-SYSU/Medical_DS
공식 코드End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
https://github.com/HIT-SCIR/Molweni
공식 코드https://github.com/HLTCHKUST/Mem2Seq
공식 코드Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
https://github.com/HLTCHKUST/PAML
공식 코드https://github.com/HLTCHKUST/ke-dialogue
공식 코드Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
https://github.com/HPI-DeepLearning/crnn-lid
공식 코드Language Identification Using Deep Convolutional Recurrent Neural Networks
https://github.com/HarlinLee/brillsson
공식 코드Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.