390 Open source projects that are alternatives of or similar to mcQA

Augmented version of SQUAD 2.0 for Questions

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

Financial Domain Question Answering with pre-trained BERT Language Model

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

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

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

Conversational Question Answering on Clinical Text

Text2Text: Cross-lingual natural language processing and generation toolkit

🔍 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.

吹逼我们是认真的

No description or website provided.

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

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

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

高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task

机器翻译子任务-翻译质量评价-在BERT模型后面加上Bi-LSTM进行fine-tuning

A dataset of complex questions on semi-structured Wikipedia tables

BERT Model Fine-tuning on Quora Questions Pairs

An Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)

A question answering dataset for machine comprehension of spoken content

HEAD-QA: A Healthcare Dataset for Complex Reasoning

An InformationGain based Question Answering over knowledge Graph system.

Text Classification in Turkish Texts with Bert

This is a java version of Chinese tokenization descried in BERT.

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

Participant Kit for the TextGraphs-15 Shared Task on Explanation Regeneration

文本对关系比较 - 语义相似度、字面相似度、文本蕴含等等

First Prize in HackJaipur Hackathon 2020 for Best ElasticSearch-based Product! Website: http://coronaxiv2.surge.sh/#/

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

Environment that can be used to evaluate reasoning capabilities of artificial agents

Official code repository for "Exploring Neural Models for Query-Focused Summarization".

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

Very Simple Question Answer System using Chinese Wikipedia Data

Extraction of the five journalistic W-questions (5W) from news articles

Code for ANA at SemEval-2019 Task 3

中文心理问答数据集

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

bert sentiment analysis tensorflow serving with RESTful API

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

KAREN: Unifying Hatespeech Detection and Benchmarking

Author implementation of "Learning to Search in Long Documents Using Document Structure" (Mor Geva and Jonathan Berant, 2018)

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

📖 Korean NLU Benchmark

Machine Comprehension Train on MSMARCO with S-NET Extraction Modification

PororoQA, https://arxiv.org/abs/1707.00836

BERT for Chinese Couplet | BERT用于自动对对联

📑 Neural Search

Contextualised Embeddings and Language Modelling using BERT and Friends using R

Medical Q&A with Deep Language Models

StarGraph (aka *graph) is a graph database to query large Knowledge Graphs. Playing with Knowledge Graphs can be useful if you are developing AI applications or doing data analysis over complex domains.

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

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

TensorFlow Models for the Stanford Question Answering Dataset

本NER项目包含多个中文数据集，模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等，最后用TFServing进行模型部署，线上推理和线下推理。

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Persian (Farsi) Question Answering Dataset (+ Models)

Deep Learning Transformer models in MATLAB

Compare six baseline deep learning models on TrecQA

Persian Bert For Long-Range Sequences