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Machine Reading Comprehension

50 papers with code · Natural Language Processing

Machine Reading Comprehension is one of the key problems in Natural Language Understanding, where the task is to read and comprehend a given text passage, and then answer questions based on it.

Source: Making Neural Machine Reading Comprehension Faster

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Greatest papers with code

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

CLUE: A Chinese Language Understanding Evaluation Benchmark

13 Apr 2020CLUEbenchmark/CLUE

We introduce CLUE, a Chinese Language Understanding Evaluation benchmark.

MACHINE READING COMPREHENSION SENTENCE CLASSIFICATION

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

DuReaderrobust: A Chinese Dataset Towards Evaluating the Robustness of Machine Reading Comprehension Models

23 Apr 2020PaddlePaddle/Research

By contrast, the advantage of DuReader_{robust} is that its questions and documents are natural texts.

MACHINE READING COMPREHENSION

A Span-Extraction Dataset for Chinese Machine Reading Comprehension

IJCNLP 2019 ymcui/cmrc2018

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

MACHINE READING COMPREHENSION

DRCD: a Chinese Machine Reading Comprehension Dataset

4 Jun 2018DRCSolutionService/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

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

Semantics-aware BERT for Language Understanding

5 Sep 2019cooelf/SemBERT

The latest work on language representations carefully integrates contextualized features into language model training, which enables a series of success especially in various machine reading comprehension and natural language inference tasks.

LANGUAGE MODELLING MACHINE READING COMPREHENSION NATURAL LANGUAGE INFERENCE NATURAL LANGUAGE UNDERSTANDING QUESTION ANSWERING SEMANTIC ROLE LABELING WORD EMBEDDINGS

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering

10 Dec 2018Microsoft/SDNet

Conversational question answering (CQA) is a novel QA task that requires understanding of dialogue context.

COREFERENCE RESOLUTION MACHINE READING COMPREHENSION QUESTION ANSWERING