نتایج جستجو برای: sentence cloze

تعداد نتایج: 36017  

Journal: :NeuroImage 2013
Zude Zhu Gangyi Feng John X. Zhang Guochao Li Hong Li Suiping Wang

Whether left inferior frontal gyrus (LIFG) activation during sentence comprehension reflects semantic integration or domain-general cognitive control remains unclear. To address this issue, 26 participants were presented with sentences word by word during fMRI scanning and were asked to perform two semantic tasks, one explicit (semantic congruency judgment) and one implicit (font size judgment)...

Journal: :Memory & cognition 2015
Eleanor Drake Martin Corley

It has been suggested that the activation of speech-motor areas during speech comprehension may, in part, reflect the involvement of the speech production system in synthesizing upcoming material at an articulatorily specified level. In this study, we explored that suggestion through the use of articulatory imaging. We investigated whether, and how, predictions that emerge during speech compreh...

2009
Juan Pino Maxine Eskénazi

Providing the first few letters of a missing word in a sentence gives information about this word. This paper attempts to measure the information transmitted in that case. In order to do so, we analyzed response accuracy for open cloze questions, that is fill-in-the-blank questions without multiple choice answers. In this study, native and non-native speakers of English answered a series of ope...

2008
Marisa Ferrara Boston John T. Hale Reinhold Kliegl Shravan Vasishth

An incremental dependency parser’s probability model is entered as a predictor in a linear mixed-effects model of German readers’ eye-fixation durations. This dependencybased predictor improves a baseline that takes into account word length, n-gram probability, and Cloze predictability that are typically applied in models of human reading. This improvement obtains even when the dependency parse...

2010
Tyler Schnoebelen Victor Kuperman

Amazon’s Mechanical Turk service makes linguistic experimentation quick, easy, and inexpensive. However, researchers have not been certain about its reliability. In a series of experiments, this paper compares data collected via Mechanical Turk to those obtained using more traditional methods One set of experiments measured the predictability of words in sentences using the Cloze sentence compl...

Journal: :Psychophysiology 2011
Katherine A DeLong Thomas P Urbach David M Groppe Marta Kutas

In 2005, DeLong, Urbach, and Kutas took advantage of the a/an English indefinite article phonological alternation and the sensitivities of the N400 ERP component to show that readers can neurally preactivate individual words of a sentence (including nouns and their prenominal indefinite articles) in a graded fashion with a likelihood estimated from the words' offline probabilities as sentence c...

2017
Bingning Wang Kang Liu Jun Zhao

Recently proposed Story Cloze Test [Mostafazadeh et al., 2016] is a commonsense machine comprehension application to deal with natural language understanding problem. This dataset contains a lot of story tests which require commonsense inference ability. Unfortunately, the training data is almost unsupervised where each context document followed with only one positive sentence that can be infer...

2014
Clara D. Martin Xavier Garcia Audrey Breton Guillaume Thierry Albert Costa

Do the integration of semantic information and that of world knowledge occur simultaneously or in sequence during sentence processing? To address this question, we investigated event-related brain potentials elicited by the critical word of English sentences in three conditions: (1) correct; (2) semantic violation; (3) world knowledge violation (semantically correct but factually incorrect). Cr...

2016
Nasrin Mostafazadeh Nathanael Chambers Xiaodong He Devi Parikh Dhruv Batra Lucy Vanderwende Pushmeet Kohli James F. Allen

Representation and learning of commonsense knowledge is one of the foundational problems in the quest to enable deep language understanding. This issue is particularly challenging for understanding casual and correlational relationships between events. While this topic has received a lot of interest in the NLP community, research has been hindered by the lack of a proper evaluation framework. T...

Journal: :CoRR 2016
Nasrin Mostafazadeh Nathanael Chambers Xiaodong He Devi Parikh Dhruv Batra Lucy Vanderwende Pushmeet Kohli James F. Allen

Representation and learning of commonsense knowledge is one of the foundational problems in the quest to enable deep language understanding. This issue is particularly challenging for understanding casual and correlational relationships between events. While this topic has received a lot of interest in the NLP community, research has been hindered by the lack of a proper evaluation framework. T...

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