436 Open source projects that are alternatives of or similar to Medi-CoQA

🔍 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.

Augmented version of SQUAD 2.0 for Questions

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

Persian (Farsi) Question Answering Dataset (+ Models)

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

A dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.

Text2Text: Cross-lingual natural language processing and generation toolkit

机器阅读理解 冠军/亚军代码及中文预训练MRC模型

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

😎 A curated list of the Question Answering (QA)

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.

Financial Domain Question Answering with pre-trained BERT Language Model

离线端阅读理解应用 QA for mobile, Android & iPhone

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT

State of the Art Natural Language Processing

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

🔮 Answering multiple choice questions with Language Models.

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)

As far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found at

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

Question Answering System using BiDAF Model on SQuAD v2.0

KitanaQA: Adversarial training and data augmentation for neural question-answering models

TensorFlow Models for the Stanford Question Answering Dataset

A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)

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

吹逼我们是认真的

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

No description or website provided.

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

CLUE baseline pytorch CLUE的pytorch版本基线

Pytorch implementation of "Dynamic Coattention Networks For Question Answering"

No description or website provided.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Medical Q&A with Deep Language Models

⭐️🐟 questionnaire wechat app built with taro, taro-ui and heart. 微信问卷小程序

This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.

KAREN: Unifying Hatespeech Detection and Benchmarking

[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

金融问答平台文本数据采集/爬取，数据源涉及上交所，深交所，全景网及新浪股吧

A full-process dialogue system that can be deployed online

The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".

A neural named entity recognition and multi-type normalization tool for biomedical text mining

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

ODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET

Deep Learning Transformer models in MATLAB

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.

Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)

Code for EMNLP-IJCNLP 2019 MRQA Workshop Paper: "Domain-agnostic Question-Answering with Adversarial Training"

Framework to create chatbots on all platforms and on the browser - https://newbot.io