Filters








82,922 Hits in 4.4 sec

Dynamic Sampling Strategies for Multi-Task Reading Comprehension

Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner
2020 Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics   unpublished
We show that a simple dynamic sampling strategy, selecting instances for training proportional to the multi-task model's current performance on a dataset relative to its singletask performance, gives substantive  ...  gains over prior multi-task sampling strategies, mitigating the catastrophic forgetting that is common in multi-task learning.  ...  a multi-task reading comprehension setting.  ... 
doi:10.18653/v1/2020.acl-main.86 fatcat:mcjii6it6fda3gmnqlpiggpz4i

Dynamic Fusion Networks for Machine Reading Comprehension [article]

Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu
2018 arXiv   pre-print
This paper presents a novel neural model - Dynamic Fusion Network (DFN), for machine reading comprehension (MRC).  ...  with a dynamic multi-step reasoning module for generating answers.  ...  For MRC, Andreas et al. (2016) proposed a dynamic decision process for reading comprehension task (Andreas et al., 2016) .  ... 
arXiv:1711.04964v2 fatcat:mb663ereefhbri4nudpubhrcj4

Measuring strategy use with self-report instruments: theoretical and empirical considerations

Gonny Schellings, Bernadette Van Hout-Wolters
2011 Metacognition and Learning  
Cromley and Azevedo examine their instrument with three samples as part of a series of studies testing a model of reading comprehension.  ...  Their instrument is a computer-based reading assessment designed to measure readers' comprehension and spontaneous use of reading strategies while reading texts.  ... 
doi:10.1007/s11409-011-9081-9 fatcat:xsydhigdondqth6xpopedwl53a

MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension [article]

Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-tur
2019 arXiv   pre-print
Moreover, most existing MCQA datasets are small in size, making the learning task even harder. We introduce MMM, a Multi-stage Multi-task learning framework for Multi-choice reading comprehension.  ...  Furthermore, we propose a novel multi-step attention network (MAN) as the top-level classifier for this task.  ...  Related Work There are increasing interests in machine reading comprehension (MRC) for question answering (QA).  ... 
arXiv:1910.00458v2 fatcat:smgvex54dbcvxh3rp6nrgarwj4

Towards knowledge enhanced language model for machine reading comprehension

Peizhu Gong, Jin Liu, Yihe Yang, Huihua He
2020 IEEE Access  
MACHINE READING COMPREHENSION Machine reading comprehension is a task to measure the extent to which the machine understands natural language by reading a document and answer questions.  ...  by the triple classification task to be used in subsequent machine reading comprehension, we introduce the SemEval 2010 Task8 data set for link prediction tasks to modify its input form.  ... 
doi:10.1109/access.2020.3044308 fatcat:jol4trkgcbhdjfooxyjnziqlra

Page 918 of Linguistics and Language Behavior Abstracts: LLBA Vol. 26, Issue 2 [page]

1992 Linguistics and Language Behavior Abstracts: LLBA  
; 9202497 English as a foreign/second language reading comprehension/ strategies; text structure awareness; written recalls; undergraduates; 9202684 English as a second language (ESL) spoken/written proficiency  ...  - ple-choice computer program/word processing tasks; empirical data; university students, Israel; 9202754 English as a foreign language reading comprehension, scientific texts; test; Finnish college students  ... 

Online advertisement: how are visual strategies affected by the distance and the animation of banners?

Léa Pasqualotti, Thierry Baccino
2014 Frontiers in Psychology  
In the present study we assessed the effects of two advertisements features-distance from the text and the animation-on visual strategies during a word-search task and a reading-for-comprehension task  ...  The results showed that the effect of dynamic and static advertisements on visual strategies varies according to the task.  ...  Word-search task Means Reading-for-comprehension task Means Means Dynamic Static scan. Dynamic Static read.  ... 
doi:10.3389/fpsyg.2014.00211 pmid:24672501 pmcid:PMC3955900 fatcat:qtz4taomorep7fgxuhd2ojunzi

MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension

Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-tur
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Moreover, most existing MCQA datasets are small in size, making the task even harder. We introduce MMM, a Multi-stage Multi-task learning framework for Multi-choice reading comprehension.  ...  Furthermore, we propose a novel multi-step attention network (MAN) as the top-level classifier for this task.  ...  Our two-stage training strategy and the multi-step attention network achieved significant improvements for MCQA.  ... 
doi:10.1609/aaai.v34i05.6310 fatcat:uhc3rnkgcnb5ld6vvogyvfndj4

Multi-Interactive Teaching Model of College English in Computer Information Technology Environment

Jianlan Wen, Wei Wu
2017 International Journal of Emerging Technologies in Learning (iJET)  
The multi-interactive teaching mode of college English takes students as the center and the task as the link, realizing the combination of classroom teaching and network-based autonomous learning in information  ...  and practical significance for the teaching of college English.  ...  The experimental tools used in reading experiments include the reading strategy questionnaire, reading comprehension test of CET-4, and record of students' learning history.  ... 
doi:10.3991/ijet.v12i12.7956 fatcat:6p2grgeeqvbkvlpv6qy24r2w7a

Multi-span Style Extraction for Generative Reading Comprehension [article]

Junjie Yang, Zhuosheng Zhang, Hai Zhao
2020 arXiv   pre-print
Generative machine reading comprehension (MRC) requires a model to generate well-formed answers. For this type of MRC, answer generation method is crucial to the model performance.  ...  However, generative models, which are supposed to be the right model for the task, in generally perform poorly.  ...  We name it dynamic sampling.  ... 
arXiv:2009.07382v2 fatcat:m4qzrndte5adxg63xoral2pisi

The Effect of Emotions on Self-Regulated-Learning (SRL) and Story Comprehension in Emerging Readers

Stephanie Buono, Ana Zdravkovic, Milan Lazic, Earl Woodruff
2020 Frontiers in Education  
task and whether SRL strategies affect narrative storytelling scores.  ...  Future research should investigate pedagogical strategies to manage emotions and increase SRL strategy use during reading and literacy activities.  ...  This task allows researchers to analyze story comprehension in young students while their ability to decode written text is emerging, as success on the task does not depend on the student's reading ability  ... 
doi:10.3389/feduc.2020.588043 fatcat:qvjdx64dlrdanp4psv57b5dnt4

Visual Sampling of In-Vehicle Text Messages

Joshua D. Hoffman, John D. Lee, Daniel V. McGehee, Mashala Macias, Andrew W. Gellatly
2005 Transportation Research Record  
performance even with a demanding secondary visual task.  ...  A touch screen button for manual control of scrolling lead to greater visual demand compared to automatically scrolled text.  ...  ) would promote a more effective sampling strategy.  ... 
doi:10.1177/0361198105193700104 fatcat:m4uqhijqb5ftzoh7trpr44hdra

Visual Sampling of In-Vehicle Text Messages: Effects of Number of Lines, Page Presentation, and Message Control

Joshua Hoffman, John Lee, Daniel McGehee, Mashala Macias, Andrew Gellatly
2005 Transportation Research Record  
performance even with a demanding secondary visual task.  ...  A touch screen button for manual control of scrolling lead to greater visual demand compared to automatically scrolled text.  ...  ) would promote a more effective sampling strategy.  ... 
doi:10.3141/1937-04 fatcat:6n3zn5xaefao5oqgwwb4tyrrki

Framework for Deep Learning-Based Language Models using Multi-task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions

Rahul Manohar Samant, Mrinal Bachute, Shilpa Gite, Ketan Kotecha
2022 IEEE Access  
INDEX TERMS Deep learning, Knowledge representation, Multi-task NLU, Unsupervised learning TABLE I APPLICATION DOMAINS FOR NLU Domain Applications Machine translation IBM Watson Task-based dialogue-based  ...  Combining these approaches may result in a more efficient and robust multi-task NLU.  ...  Machine reading comprehension is the task of reading and comprehending the text by a computer program.  ... 
doi:10.1109/access.2022.3149798 fatcat:k3kdt4eryzdfpk5k6w62jtlskm

Taking A Closer Look At Reading Online

Mary MCnabb
2006 i-manager's Journal of Educational Technology  
The article explores the current understanding about the nature of read online and poses questions for further investigation.  ...  This article reviews the author's work as an evaluator for Internet-related school improvement initiatives in the USA.  ...  Table 1 . 1 Displays a sample assignment to provide students with opportunities for developing their metacognitive monitor abilities necessary for reading online.  ... 
doi:10.26634/jet.3.1.1006 fatcat:6uu7qatkiba2ji6fkbxzqr6ovu
« Previous Showing results 1 — 15 out of 82,922 results