All Projects → BERT-for-Chinese-Question-Answering → Similar Projects or Alternatives

390 Open source projects that are alternatives of or similar to BERT-for-Chinese-Question-Answering

Haystack
🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.
Stars: ✭ 3,409 (+4445.33%)
Mutual labels:  question-answering, bert
Medi-CoQA
Conversational Question Answering on Clinical Text
Stars: ✭ 22 (-70.67%)
Mutual labels:  question-answering, bert
iamQA
中文wiki百科QA阅读理解问答系统,使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型,还有W2V词向量搜索,使用torchserve部署
Stars: ✭ 46 (-38.67%)
Mutual labels:  question-answering, bert
cdQA-ui
⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.
Stars: ✭ 19 (-74.67%)
Mutual labels:  question-answering, bert
SQUAD2.Q-Augmented-Dataset
Augmented version of SQUAD 2.0 for Questions
Stars: ✭ 31 (-58.67%)
Mutual labels:  question-answering, bert
Nlp chinese corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Stars: ✭ 6,656 (+8774.67%)
Mutual labels:  question-answering, bert
KitanaQA
KitanaQA: Adversarial training and data augmentation for neural question-answering models
Stars: ✭ 58 (-22.67%)
Mutual labels:  question-answering, bert
backprop
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (+205.33%)
Mutual labels:  question-answering, bert
mcQA
🔮 Answering multiple choice questions with Language Models.
Stars: ✭ 23 (-69.33%)
Mutual labels:  question-answering, bert
text2text
Text2Text: Cross-lingual natural language processing and generation toolkit
Stars: ✭ 188 (+150.67%)
Mutual labels:  question-answering, bert
cmrc2019
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)
Stars: ✭ 118 (+57.33%)
Mutual labels:  question-answering, bert
DrFAQ
DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.
Stars: ✭ 29 (-61.33%)
Mutual labels:  question-answering, bert
FinBERT-QA
Financial Domain Question Answering with pre-trained BERT Language Model
Stars: ✭ 70 (-6.67%)
Mutual labels:  question-answering, bert
TriB-QA
吹逼我们是认真的
Stars: ✭ 45 (-40%)
Mutual labels:  question-answering, bert
SA-BERT
CIKM 2020: Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
Stars: ✭ 71 (-5.33%)
Mutual labels:  bert
Instahelp
Instahelp is a Q&A portal website similar to Quora
Stars: ✭ 21 (-72%)
Mutual labels:  question-answering
Romanian-Transformers
This repo is the home of Romanian Transformers.
Stars: ✭ 60 (-20%)
Mutual labels:  bert
banglabert
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…
Stars: ✭ 186 (+148%)
Mutual labels:  bert
bert nli
A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Stars: ✭ 97 (+29.33%)
Mutual labels:  bert
Kevinpro-NLP-demo
All NLP you Need Here. 个人实现了一些好玩的NLP demo,目前包含13个NLP应用的pytorch实现
Stars: ✭ 117 (+56%)
Mutual labels:  bert
BertSimilarity
Computing similarity of two sentences with google's BERT algorithm。利用Bert计算句子相似度。语义相似度计算。文本相似度计算。
Stars: ✭ 348 (+364%)
Mutual labels:  bert
FasterTransformer
Transformer related optimization, including BERT, GPT
Stars: ✭ 1,571 (+1994.67%)
Mutual labels:  bert
Question-Answering-based-on-SQuAD
Question Answering System using BiDAF Model on SQuAD v2.0
Stars: ✭ 20 (-73.33%)
Mutual labels:  question-answering
ganbert
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+173.33%)
Mutual labels:  bert
DiscEval
Discourse Based Evaluation of Language Understanding
Stars: ✭ 18 (-76%)
Mutual labels:  bert
classifier multi label seq2seq attention
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search
Stars: ✭ 26 (-65.33%)
Mutual labels:  bert
Text-Summarization
Abstractive and Extractive Text summarization using Transformers.
Stars: ✭ 38 (-49.33%)
Mutual labels:  bert
hard-label-attack
Natural Language Attacks in a Hard Label Black Box Setting.
Stars: ✭ 26 (-65.33%)
Mutual labels:  bert
hf-experiments
Experiments with Hugging Face 🔬 🤗
Stars: ✭ 37 (-50.67%)
Mutual labels:  question-answering
NLP-Review-Scorer
Score your NLP paper review
Stars: ✭ 25 (-66.67%)
Mutual labels:  bert
GrailQA
No description or website provided.
Stars: ✭ 72 (-4%)
Mutual labels:  question-answering
label-studio-transformers
Label data using HuggingFace's transformers and automatically get a prediction service
Stars: ✭ 117 (+56%)
Mutual labels:  bert
JointIDSF
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
Stars: ✭ 55 (-26.67%)
Mutual labels:  bert
roberta-wwm-base-distill
this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large
Stars: ✭ 61 (-18.67%)
Mutual labels:  bert
tensorflow-ml-nlp-tf2
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
Stars: ✭ 245 (+226.67%)
Mutual labels:  bert
TeBaQA
A question answering system which utilises machine learning.
Stars: ✭ 17 (-77.33%)
Mutual labels:  question-answering
CAIL
法研杯CAIL2019阅读理解赛题参赛模型
Stars: ✭ 34 (-54.67%)
Mutual labels:  bert
AnnA Anki neuronal Appendix
Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
Stars: ✭ 39 (-48%)
Mutual labels:  bert
BERT-BiLSTM-CRF
BERT-BiLSTM-CRF的Keras版实现
Stars: ✭ 40 (-46.67%)
Mutual labels:  bert
Sohu2019
2019搜狐校园算法大赛
Stars: ✭ 26 (-65.33%)
Mutual labels:  bert
pair2vec
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
Stars: ✭ 62 (-17.33%)
Mutual labels:  question-answering
django-simple-forum
full featured forum, easy to integrate and use.
Stars: ✭ 65 (-13.33%)
Mutual labels:  question-answering
HHH-An-Online-Question-Answering-System-for-Medical-Questions
HBAM: Hierarchical Bi-directional Word Attention Model
Stars: ✭ 44 (-41.33%)
Mutual labels:  question-answering
HAR
Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"
Stars: ✭ 22 (-70.67%)
Mutual labels:  question-answering
NLP-paper
🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (-69.33%)
Mutual labels:  bert
FlowQA
Implementation of conversational QA model: FlowQA (with slight improvement)
Stars: ✭ 197 (+162.67%)
Mutual labels:  question-answering
oreilly-bert-nlp
This repository contains code for the O'Reilly Live Online Training for BERT
Stars: ✭ 19 (-74.67%)
Mutual labels:  bert
Dynamic-Coattention-Network-for-SQuAD
Tensorflow implementation of DCN for question answering on the Stanford Question Answering Dataset (SQuAD)
Stars: ✭ 14 (-81.33%)
Mutual labels:  question-answering
Cross-Lingual-MRC
Cross-Lingual Machine Reading Comprehension (EMNLP 2019)
Stars: ✭ 66 (-12%)
Mutual labels:  bert
bert for corrector
基于bert进行中文文本纠错
Stars: ✭ 199 (+165.33%)
Mutual labels:  bert
question generator
An NLP system for generating reading comprehension questions
Stars: ✭ 188 (+150.67%)
Mutual labels:  bert
NAG-BERT
[EACL'21] Non-Autoregressive with Pretrained Language Model
Stars: ✭ 47 (-37.33%)
Mutual labels:  bert
Transformer-QG-on-SQuAD
Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: ✭ 28 (-62.67%)
Mutual labels:  bert
neural-ranking-kd
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation
Stars: ✭ 74 (-1.33%)
Mutual labels:  bert
dialogbot
dialogbot, provide search-based dialogue, task-based dialogue and generative dialogue model. 对话机器人,基于问答型对话、任务型对话、聊天型对话等模型实现,支持网络检索问答,领域知识问答,任务引导问答,闲聊问答,开箱即用。
Stars: ✭ 96 (+28%)
Mutual labels:  question-answering
consistency
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Stars: ✭ 26 (-65.33%)
Mutual labels:  bert
wechsel
Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
Stars: ✭ 39 (-48%)
Mutual labels:  bert
golang-interview-questions
golang 面试集锦
Stars: ✭ 42 (-44%)
Mutual labels:  question-answering
BiaffineDependencyParsing
BERT+Self-attention Encoder ; Biaffine Decoder ; Pytorch Implement
Stars: ✭ 67 (-10.67%)
Mutual labels:  bert
PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
Stars: ✭ 2,317 (+2989.33%)
Mutual labels:  bert
1-60 of 390 similar projects