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The NarrativeQA Reading Comprehension Challenge [PDF]
Reading comprehension (RC)—in contrast to information retrieval—requires integrating information and reasoning about events, entities, and their relations across a full document. Question answering is conventionally used to assess RC ability, in both artificial agents and children learning to read. However, existing RC datasets and tasks are dominated
Phil Blunsom+6 more
openaire +6 more sources
Reading theories and reading comprehension
In this article several reading theories in their relations to reading comprehension teachers and lecturers of English need to know are reviewed.
Maria Novary Ngabut
doaj +3 more sources
A Span-Extraction Dataset for Chinese Machine Reading Comprehension [PDF]
Machine Reading Comprehension (MRC) has become enormously popular recently and has attracted a lot of attention. However, the existing reading comprehension datasets are mostly in English. In this paper, we introduce a Span-Extraction dataset for Chinese
Che, Wanxiang+7 more
core +2 more sources
Reading Comprehension and Reading Comprehension Difficulties [PDF]
The Simple View of Reading indicates that reading comprehension is based upon two broad skills, language comprehension and word reading. This chapter explores the many factors that directly impact language comprehension and reading comprehension apart from word reading skills. Vocabulary, inferencing, background knowledge, comprehension monitoring, and
A Biemiller+176 more
core +4 more sources
This study aimed to examine the effect of skimming and scanning strategies on improving reading comprehension among students attending the English club at Senior High School Zainul Hasan 1 Genggong.
Lilis Agustin+2 more
semanticscholar +1 more source
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension [PDF]
We present TriviaQA, a challenging reading comprehension dataset containing over 650K question-answer-evidence triples. TriviaQA includes 95K question-answer pairs authored by trivia enthusiasts and independently gathered evidence documents, six per ...
Mandar Joshi+3 more
semanticscholar +1 more source
Retrospective Reader for Machine Reading Comprehension [PDF]
Machine reading comprehension (MRC) is an AI challenge that requires machines to determine the correct answers to questions based on a given passage. MRC systems must not only answer questions when necessary but also tactfully abstain from answering when
Zhuosheng Zhang, Junjie Yang, Hai Zhao
semanticscholar +1 more source
SQuAD: 100,000+ Questions for Machine Comprehension of Text [PDF]
We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the ...
Pranav Rajpurkar+3 more
semanticscholar +1 more source
RACE: Large-scale ReAding Comprehension Dataset From Examinations [PDF]
We present RACE, a new dataset for benchmark evaluation of methods in the reading comprehension task. Collected from the English exams for middle and high school Chinese students in the age range between 12 to 18, RACE consists of near 28,000 passages ...
Guokun Lai+4 more
semanticscholar +1 more source
The Role of Background Knowledge in Reading Comprehension: A Critical Review
A critical review was conducted to determine the influence background knowledge has on the reading comprehension of primary school-aged children. We identified twenty-three studies that met our criteria and focused on the links between background ...
Reid Smith+3 more
semanticscholar +1 more source