Conv EmotionThis repo contains implementation of different architectures for emotion recognition in conversations.
Stars: ✭ 646 (+1218.37%)
Mutual labels: natural-language-processing, natural-language-understanding, dialogue-systems
This Word Does Not ExistThis Word Does Not Exist
Stars: ✭ 640 (+1206.12%)
Mutual labels: natural-language-processing, natural-language-understanding, natural-language-generation
Dialogue UnderstandingThis repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Stars: ✭ 77 (+57.14%)
Mutual labels: natural-language-processing, natural-language-understanding, dialogue-systems
Natural Language Processing SpecializationThis repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Stars: ✭ 151 (+208.16%)
Mutual labels: natural-language-processing, natural-language-understanding, natural-language-generation
NndialNNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Stars: ✭ 332 (+577.55%)
Mutual labels: natural-language-processing, dialogue-systems, natural-language-generation
RnnlgRNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Stars: ✭ 487 (+893.88%)
Mutual labels: natural-language-processing, dialogue-systems, natural-language-generation
Transformers🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stars: ✭ 55,742 (+113659.18%)
Mutual labels: natural-language-processing, natural-language-understanding, natural-language-generation
ArxivnotesIssuesにNLP(自然言語処理)に関連するの論文を読んだまとめを書いています.雑です.🚧 マークは編集中の論文です(事実上放置のものも多いです).🍡 マークは概要のみ書いてます(早く見れる的な意味で団子).
Stars: ✭ 190 (+287.76%)
Mutual labels: natural-language-processing, natural-language-understanding, dialogue-systems
Gluon NlpNLP made easy
Stars: ✭ 2,344 (+4683.67%)
Mutual labels: natural-language-processing, natural-language-understanding, natural-language-generation
Nlp Conference CompendiumCompendium of the resources available from top NLP conferences.
Stars: ✭ 349 (+612.24%)
Mutual labels: natural-language-processing, natural-language-understanding, natural-language-generation
LudwigData-centric declarative deep learning framework
Stars: ✭ 8,018 (+16263.27%)
Mutual labels: natural-language-processing, natural-language-understanding, natural-language-generation
PplmPlug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Stars: ✭ 674 (+1275.51%)
Mutual labels: natural-language-processing, natural-language-generation
BertTensorFlow code and pre-trained models for BERT
Stars: ✭ 29,971 (+61065.31%)
Mutual labels: natural-language-processing, natural-language-understanding
Nlp RecipesNatural Language Processing Best Practices & Examples
Stars: ✭ 5,783 (+11702.04%)
Mutual labels: natural-language-processing, natural-language-understanding
Nlg EvalEvaluation code for various unsupervised automated metrics for Natural Language Generation.
Stars: ✭ 822 (+1577.55%)
Mutual labels: natural-language-processing, natural-language-generation
Insuranceqa Corpus Zh🚁 保险行业语料库,聊天机器人
Stars: ✭ 821 (+1575.51%)
Mutual labels: natural-language-processing, natural-language-understanding
Spacy Transformers🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Stars: ✭ 919 (+1775.51%)
Mutual labels: natural-language-processing, natural-language-understanding
Knowledge GraphsA collection of research on knowledge graphs
Stars: ✭ 845 (+1624.49%)
Mutual labels: natural-language-processing, dialogue-systems
Mongolian BertPre-trained Mongolian BERT models
Stars: ✭ 21 (-57.14%)
Mutual labels: natural-language-processing, natural-language-understanding
CiffCornell Instruction Following Framework
Stars: ✭ 23 (-53.06%)
Mutual labels: natural-language-processing, natural-language-understanding