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The need to acquire reading skills is increasing along with the needs of students to attain information. Therefore, this study aims at improving student s reading comprehension viewed from the motivation level using the contextual teaching and learning ...
Haerazi Haerazi+2 more
doaj +2 more sources
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 ...
Choi, Eunsol+3 more
core +2 more sources
Zero-Shot Relation Extraction via Reading Comprehension [PDF]
We show that relation extraction can be reduced to answering simple reading comprehension questions, by associating one or more natural-language questions with each relation slot.
Choi, Eunsol+3 more
core +2 more sources
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension [PDF]
We present DREAM, the first dialogue-based multiple-choice reading comprehension dataset. Collected from English-as-a-foreign-language examinations designed by human experts to evaluate the comprehension level of Chinese learners of English, our dataset contains 10,197 multiple-choice questions for 6,444 dialogues.
Kai Sun+5 more
arxiv +3 more sources
A Robust Adversarial Training Approach to Machine Reading Comprehension
Lacking robustness is a serious problem for Machine Reading Comprehension (MRC) models. To alleviate this problem, one of the most promising ways is to augment the training dataset with sophisticated designed adversarial examples.
Kai Liu+6 more
openalex +3 more sources
DreamLLM: Synergistic Multimodal Comprehension and Creation [PDF]
This paper presents DreamLLM, a learning framework that first achieves versatile Multimodal Large Language Models (MLLMs) empowered with frequently overlooked synergy between multimodal comprehension and creation.
Runpei Dong+13 more
semanticscholar +1 more source
Dialog State Tracking: A Neural Reading Comprehension Approach [PDF]
Dialog state tracking is used to estimate the current belief state of a dialog given all the preceding conversation. Machine reading comprehension, on the other hand, focuses on building systems that read passages of text and answer questions that ...
Shuyang Gao+4 more
semanticscholar +1 more source
This study investigates the effectiveness of the reflection-based reciprocal teaching (RBRT) approach for Myanmar upper secondary school students’ reading comprehension in English.
Tun Zaw Oo, Andrea Magyar, A. Habók
semanticscholar +1 more source
As is indicated by the United Nation’s Sustainable Development Goal 4, it is crucial to have access to inclusive and quality education for all. For English as a Foreign Language (EFL) learners, reading English is a basic skill for learners to acquire and
Zhiqiang Wang+4 more
semanticscholar +1 more source
In the present study, we used latent variable structural equation modeling to investigate relations between oral language, decoding, and two components of executive function (cognitive flexibility and working memory) and reading comprehension in a sample
Mercedes Spencer+2 more
semanticscholar +1 more source