RecordPapers4NLPRecord papers for some NLP related area
Stars: ✭ 21 (+10.53%)
Mutual labels: reading-comprehension
cdQA-ui⛔ [NOT MAINTAINED] A web interface for cdQA and other question answering systems.
Stars: ✭ 19 (+0%)
Mutual labels: reading-comprehension
co-attentionPytorch implementation of "Dynamic Coattention Networks For Question Answering"
Stars: ✭ 54 (+184.21%)
Mutual labels: reading-comprehension
TOEFL-QAA question answering dataset for machine comprehension of spoken content
Stars: ✭ 61 (+221.05%)
Mutual labels: reading-comprehension
PersianQAPersian (Farsi) Question Answering Dataset (+ Models)
Stars: ✭ 114 (+500%)
Mutual labels: reading-comprehension
ODSQAODSQA: OPEN-DOMAIN SPOKEN QUESTION ANSWERING DATASET
Stars: ✭ 43 (+126.32%)
Mutual labels: reading-comprehension
extractive rc by runtime mtCode and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"
Stars: ✭ 36 (+89.47%)
Mutual labels: reading-comprehension
explicit memory tracker[ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
Stars: ✭ 35 (+84.21%)
Mutual labels: reading-comprehension
Cross-Lingual-MRCCross-Lingual Machine Reading Comprehension (EMNLP 2019)
Stars: ✭ 66 (+247.37%)
Mutual labels: reading-comprehension
exams-qaA Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering
Stars: ✭ 25 (+31.58%)
Mutual labels: reading-comprehension
KMRC-PapersA list of recent papers regarding knowledge-based machine reading comprehension.
Stars: ✭ 40 (+110.53%)
Mutual labels: reading-comprehension
les-military-mrc-rank7莱斯杯:全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案
Stars: ✭ 37 (+94.74%)
Mutual labels: reading-comprehension
cmrc2019A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)
Stars: ✭ 118 (+521.05%)
Mutual labels: reading-comprehension
cmrc2017The First Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2017)
Stars: ✭ 90 (+373.68%)
Mutual labels: reading-comprehension
BiPaRThis repository contains datasets (including testing set) for EMNLP-IJCNLP 2019 paper "BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels"
Stars: ✭ 20 (+5.26%)
Mutual labels: reading-comprehension