machine-reading-comprehension
There are 15 repositories under machine-reading-comprehension topic.
CLUEbenchmark / CLUEDatasetSearch
搜索所有中文NLP数据集，附常用英文NLP数据集
Language:Python 4391- Language:Python 2257
gaoisbest / NLP-Projects
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
Language:OpenEdge ABL 560spacemanidol / MSMARCO
Utilities, Baselines, Statistics and Descriptions Related to the MSMARCO DATASET
Language:Python 190- Language:Python 169
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- Language:Python 155
l11x0m7 / Question_Answering_Models
This repo collects and re-produces models related to domains of question answering and machine reading comprehension
Language:Python 154xanhho / Reading-Comprehension-Question-Answering-Papers
Survey on Machine Reading Comprehension
- Language:Python 129
SunnyMarkLiu / lic2019-dureader2.0-rank2
Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.
Language:Python 128sherlcok314159 / ChineseMRC-Data
收集了目前为止中文领域的MRC抽取式数据集
- Language:Python 92
krystalan / Multi-hopRC
:notebook_with_decorative_cover: notes for Multi-hop Reading Comprehension and open-domain question answering
yuweihao / reclor
Code for "ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning" (ICLR 2020)
Language:Python 81- Language:Python 77
SparkJiao / SLQA
An Unofficial Pytorch Implementation of Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering
Language:Python 76VumBleBot / odqa_baseline_code
Baseline code for Korean open domain question answering(ODQA)
Language:Python 76AkariAsai / logic_guided_qa
The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".
Language:Python 71nlpdata / mrc_bert_baseline
A BERT-Based Machine Reading Comprehension Baseline
Language:Python 63- Language:Python 61
离线端阅读理解应用 QA for mobile, Android & iPhone
Language:Python 60taishan1994 / BERT-Event-Extraction
使用bert进行事件抽取。
Language:Python 47ujjax / machine-comprehension
MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS
Language:Python 43IndexFziQ / KMRC-Papers
A list of recent papers regarding knowledge-based machine reading comprehension.
stevezheng23 / reading_comprehension_tf
Machine Reading Comprehension in Tensorflow
Language:Python 40Chiang97912 / DGCNN
Dilate Gated Convolutional Neural Network For Machine Reading Comprehension
Language:Python 39- Language:Python 37
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KaiyuanGao / awesome-deeplearning-nlp-papers
A curated list of Deep learning and NLP must read papers
lyeoni / KorQuAD
KorQuAD (Korean Question Answering Dataset) submission guide using PyTorch pretrained BERT
Language:Python 31lyj555 / LICS2021_MRC
2021语言与智能技术竞赛：机器阅读理解任务
Language:Python 30The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
Language:Python 28Judenpech / MLEC-QA
Data and baseline code of EMNLP 2021 paper "MLEC-QA: A Chinese Multi-Choice Biomedical Question Answering Dataset".
Language:Python 28menghuanlater / Tianchi2020ChineseMedicineNER
2020阿里云天池大数据竞赛-中医药命名实体识别挑战赛
Language:Python 28xufangzhi / Logiformer
[SIGIR 2022] The implementation of Logiformer
Language:Python 28
