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Reading Comprehension

149 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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Latest papers with code

Evaluating Commonsense in Pre-trained Language Models

27 Nov 2019XuhuiZhou/CATS

However, relatively little work has been done investigating commonsense knowledge contained in contextualized representations, which is crucial for human question answering and reading comprehension.

LANGUAGE MODELLING QUESTION ANSWERING READING COMPREHENSION

5
27 Nov 2019

Unsupervised Domain Adaptation on Reading Comprehension

13 Nov 2019caoyu1991/CASe

On the other hand, it further reduces domain distribution discrepancy through conditional adversarial learning across domains.

READING COMPREHENSION UNSUPERVISED DOMAIN ADAPTATION

5
13 Nov 2019

Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension

1 Nov 2019ibm-aur-nlp/domain-specific-QA

The creation of large-scale open domain reading comprehension data sets in recent years has enabled the development of end-to-end neural comprehension models with promising results.

DOMAIN ADAPTATION READING COMPREHENSION

2
01 Nov 2019

A Unified MRC Framework for Named Entity Recognition

25 Oct 2019ShannonAI/mrc-for-flat-nested-ner

Instead of treating the task of NER as a sequence labeling problem, we propose to formulate it as a machine reading comprehension (MRC) task.

CHINESE NAMED ENTITY RECOGNITION ENTITY EXTRACTION MACHINE READING COMPREHENSION NESTED MENTION RECOGNITION NESTED NAMED ENTITY RECOGNITION

41
25 Oct 2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

WS 2019 mrqa/MRQA-Shared-Task-2019

We present the results of the Machine Reading for Question Answering (MRQA) 2019 shared task on evaluating the generalization capabilities of reading comprehension systems.

MULTI-TASK LEARNING QUESTION ANSWERING READING COMPREHENSION

177
22 Oct 2019

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels

IJCNLP 2019 sharejing/BiPaR

We analyze BiPaR in depth and find that BiPaR offers good diversification in prefixes of questions, answer types and relationships between questions and passages.

COREFERENCE RESOLUTION MACHINE READING COMPREHENSION

8
11 Oct 2019

Multilingual Question Answering from Formatted Text applied to Conversational Agents

10 Oct 2019wissam-sib/multilingualQA

Fortunately, state-of-the-art models are now being pre-trained on multiple languages (e. g. BERT was released in a multilingual version managing a hundred languages) and are exhibiting ability for zero-shot transfer from English to others languages on XNLI.

MACHINE TRANSLATION QUESTION ANSWERING READING COMPREHENSION

0
10 Oct 2019

Tag-based Multi-Span Extraction in Reading Comprehension

29 Sep 2019llamazing/numnet_plus

Furthermore, we show that our model slightly eclipses the current state-of-the-art results on the entire DROP dataset.

READING COMPREHENSION

117
29 Sep 2019

What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering

IJCNLP 2019 allenai/missing-fact

We propose jointly training a model to simultaneously fill this knowledge gap and compose it with the provided partial knowledge.

QUESTION ANSWERING READING COMPREHENSION

6
19 Sep 2019

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale

IJCNLP 2019 easonnie/semanticRetrievalMRS

In this work, we give general guidelines on system design for MRS by proposing a simple yet effective pipeline system with special consideration on hierarchical semantic retrieval at both paragraph and sentence level, and their potential effects on the downstream task.

INFORMATION RETRIEVAL READING COMPREHENSION REPRESENTATION LEARNING

35
17 Sep 2019