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Machine Reading Comprehension

29 papers with code · Natural Language Processing

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DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

WS 2018 PaddlePaddle/models

Experiments show that human performance is well above current state-of-the-art baseline systems, leaving plenty of room for the community to make improvements.

MACHINE READING COMPREHENSION

Pre-Training with Whole Word Masking for Chinese BERT

19 Jun 2019ymcui/Chinese-BERT-wwm

In this technical report, we adapt whole word masking in Chinese text, that masking the whole word instead of masking Chinese characters, which could bring another challenge in Masked Language Model (MLM) pre-training task.

DOCUMENT CLASSIFICATION LANGUAGE MODELLING MACHINE READING COMPREHENSION NAMED ENTITY RECOGNITION NATURAL LANGUAGE INFERENCE SENTIMENT ANALYSIS

Sogou Machine Reading Comprehension Toolkit

28 Mar 2019sogou/SMRCToolkit

In this paper, we present a Sogou Machine Reading Comprehension (SMRC) toolkit that can be used to provide the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

MACHINE READING COMPREHENSION

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

28 Nov 2016dfcf93/MSMARCO

The size of the dataset and the fact that the questions are derived from real user search queries distinguishes MS MARCO from other well-known publicly available datasets for machine reading comprehension and question-answering.

MACHINE READING COMPREHENSION QUESTION ANSWERING

DRCD: a Chinese Machine Reading Comprehension Dataset

4 Jun 2018DRCKnowledgeTeam/DRCD

In this paper, we introduce DRCD (Delta Reading Comprehension Dataset), an open domain traditional Chinese machine reading comprehension (MRC) dataset.

MACHINE READING COMPREHENSION TRANSFER LEARNING

Dual Ask-Answer Network for Machine Reading Comprehension

6 Sep 2018hanxiao/daanet

The task of question answering or question generation aims to infer an answer or a question when given the counterpart based on context.

MACHINE READING COMPREHENSION QUESTION ANSWERING QUESTION GENERATION

Stochastic Answer Networks for SQuAD 2.0

24 Sep 2018kevinduh/san_mrc

This paper presents an extension of the Stochastic Answer Network (SAN), one of the state-of-the-art machine reading comprehension models, to be able to judge whether a question is unanswerable or not.

MACHINE READING COMPREHENSION QUESTION ANSWERING

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

NAACL 2019 kevinduh/san_mrc

We propose a multi-task learning framework to learn a joint Machine Reading Comprehension (MRC) model that can be applied to a wide range of MRC tasks in different domains.

MACHINE READING COMPREHENSION MACHINE TRANSLATION MULTI-TASK LEARNING QUESTION ANSWERING

Stochastic Answer Networks for Machine Reading Comprehension

ACL 2018 kevinduh/san_mrc

We propose a simple yet robust stochastic answer network (SAN) that simulates multi-step reasoning in machine reading comprehension.

MACHINE READING COMPREHENSION QUESTION ANSWERING

A Span-Extraction Dataset for Chinese Machine Reading Comprehension

EMNLP 2019 ymcui/cmrc2018

Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention.

MACHINE READING COMPREHENSION