jojonki / Arxivnotes
Issues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
Projects that are alternatives of or similar to Arxivnotes
Conv Emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
Stars: ✭ 646 (+240%)
Mutual labels: natural-language-processing, natural-language-understanding, dialogue-systems
Convai Baseline
ConvAI baseline solution
Stars: ✭ 49 (-74.21%)
Mutual labels: natural-language-processing, natural-language-understanding, dialogue-systems
Dialogue Understanding
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Stars: ✭ 77 (-59.47%)
Mutual labels: natural-language-processing, natural-language-understanding, dialogue-systems
Kb Infobot
A dialogue bot for information access
Stars: ✭ 181 (-4.74%)
Mutual labels: natural-language-processing, dialogue-systems
Dialoglue
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
Stars: ✭ 120 (-36.84%)
Mutual labels: natural-language-processing, natural-language-understanding
Turkish Morphology
A two-level morphological analyzer for Turkish.
Stars: ✭ 121 (-36.32%)
Mutual labels: natural-language-processing, natural-language-understanding
Transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Stars: ✭ 55,742 (+29237.89%)
Mutual labels: natural-language-processing, natural-language-understanding
Paper Survey
📚Survey of previous research and related works on machine learning (especially Deep Learning) in Japanese
Stars: ✭ 140 (-26.32%)
Mutual labels: summary, natural-language-processing
Neuraldialog Larl
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Stars: ✭ 127 (-33.16%)
Mutual labels: natural-language-processing, dialogue-systems
Tod Bert
Pre-Trained Models for ToD-BERT
Stars: ✭ 143 (-24.74%)
Mutual labels: natural-language-processing, natural-language-understanding
Glad
Global-Locally Self-Attentive Dialogue State Tracker
Stars: ✭ 185 (-2.63%)
Mutual labels: natural-language-processing, dialogue-systems
Deep Nlp Seminars
Materials for deep NLP course
Stars: ✭ 113 (-40.53%)
Mutual labels: natural-language-processing, natural-language-understanding
Awesome Emotion Recognition In Conversations
A comprehensive reading list for Emotion Recognition in Conversations
Stars: ✭ 111 (-41.58%)
Mutual labels: natural-language-processing, dialogue-systems
Awesome Hungarian Nlp
A curated list of NLP resources for Hungarian
Stars: ✭ 121 (-36.32%)
Mutual labels: natural-language-processing, natural-language-understanding
Xlnet extension tf
XLNet Extension in TensorFlow
Stars: ✭ 109 (-42.63%)
Mutual labels: natural-language-processing, natural-language-understanding
Chars2vec
Character-based word embeddings model based on RNN for handling real world texts
Stars: ✭ 130 (-31.58%)
Mutual labels: natural-language-processing, natural-language-understanding
Natural Language Processing Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Stars: ✭ 151 (-20.53%)
Mutual labels: natural-language-processing, natural-language-understanding
Sling
SLING - A natural language frame semantics parser
Stars: ✭ 1,892 (+895.79%)
Mutual labels: natural-language-processing, natural-language-understanding
Efaqa Corpus Zh
❤️Emotional First Aid Dataset, 心理咨询问答、聊天机器人语料库
Stars: ✭ 170 (-10.53%)
Mutual labels: natural-language-processing, natural-language-understanding
Easy Bert
A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)
Stars: ✭ 106 (-44.21%)
Mutual labels: natural-language-processing, natural-language-understanding
arXivNotes
IssuesにNLPに関連する論文を読んだまとめを書いています．arXivTimesに影響を受けて作りましたが，まとめ方が自分向けでなので，本家を見ることをお勧めします．
またここで読んだ論文の中でも，面白かったものは，私のpodcast，Leading NLP Ninjaでも配信しています．良ければ聞いてみて下さい．
THE CONTENTS OF THIS REPOSITRY ARE WRITTEN IN JAPANESE.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].