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Reading Comprehension

103 papers with code · Natural Language Processing

Most current question answering datasets frame the task as reading comprehension where the question is about a paragraph or document and the answer often is a span in the document. The Machine Reading group at UCL also provides an overview of reading comprehension tasks.

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Greatest papers with code

Language Models are Unsupervised Multitask Learners

Preprint 2019 huggingface/pytorch-pretrained-BERT

Natural language processing tasks, such as question answering, machine translation, reading comprehension, and summarization, are typically approached with supervised learning on taskspecific datasets.

 SOTA for Language Modelling on Penn Treebank (Word Level) (using extra training data)

COMMON SENSE REASONING DOCUMENT SUMMARIZATION LANGUAGE MODELLING MACHINE TRANSLATION QUESTION ANSWERING READING COMPREHENSION

AllenNLP: A Deep Semantic Natural Language Processing Platform

WS 2018 allenai/allennlp

This paper describes AllenNLP, a platform for research on deep learning methods in natural language understanding.

READING COMPREHENSION SEMANTIC ROLE LABELING

Reading Wikipedia to Answer Open-Domain Questions

ACL 2017 facebookresearch/ParlAI

This paper proposes to tackle open- domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION

Embracing data abundance: BookTest Dataset for Reading Comprehension

4 Oct 2016facebookresearch/ParlAI

We show that training on the new data improves the accuracy of our Attention-Sum Reader model on the original CBT test data by a much larger margin than many recent attempts to improve the model architecture.

READING COMPREHENSION

Teaching Machines to Read and Comprehend

NeurIPS 2015 facebookresearch/ParlAI

Teaching machines to read natural language documents remains an elusive challenge.

READING COMPREHENSION

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

19 Feb 2015facebookresearch/ParlAI

One long-term goal of machine learning research is to produce methods that are applicable to reasoning and natural language, in particular building an intelligent dialogue agent.

QUESTION ANSWERING READING COMPREHENSION

Bidirectional Attention Flow for Machine Comprehension

5 Nov 2016allenai/bi-att-flow

Machine comprehension (MC), answering a query about a given context paragraph, requires modeling complex interactions between the context and the query.

OPEN-DOMAIN QUESTION ANSWERING READING COMPREHENSION

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

ICLR 2018 NLPLearn/QANet

On the SQuAD dataset, our model is 3x to 13x faster in training and 4x to 9x faster in inference, while achieving equivalent accuracy to recurrent models.

MACHINE TRANSLATION QUESTION ANSWERING READING COMPREHENSION

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