Results 41 to 50 of about 14,410,493 (306)

Sentence comprehension in aphasia: A noisy channel approach

open access: yesFrontiers in Psychology, 2014
Probabilistic accounts of language understanding assume that comprehension involves determining the probability of an intended message (m) given an input utterance (u) (P(m|u); e.g. Gibson et al, 2013a; Levy et al, 2009).
Michael Walsh Dickey   +1 more
doaj   +1 more source

USING INTERACTIVE APPROACH IN ENHANCING STUDENTS’ READING COMPREHENSION

open access: yesEnglish Education Journal: Jurnal Pengembangan Pendidikan dan Pengembangan Pengajaran Bahasa, 2020
English is one of the compulsory subjects at schools in Indonesia, including at junior high schools. This study was conducted to investigate the effectiveness of implementing an interactive approach in teaching reading comprehension. It also investigated
Nurul Hayati, Usman Kasim, Asnawi Muslem
doaj  

Expert and Lay Mental Models of Ecosystems: Inferences for Risk Communication [PDF]

open access: yes, 1999
The authors evaluate a mental modeling approach to studying differences between lay and expert comprehension of ...
Bussa, Toby   +4 more
core   +2 more sources

Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders

open access: yesPopulation Ecology, EarlyView.
We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa   +2 more
wiley   +1 more source

A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2016
Enabling a computer to understand a document so that it can answer comprehension questions is a central, yet unsolved goal of NLP. A key factor impeding its solution by machine learned systems is the limited availability of human-annotated data.
Danqi Chen   +2 more
semanticscholar   +1 more source

Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors

open access: yesPopulation Ecology, EarlyView.
Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley   +1 more source

DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension [PDF]

open access: yesTransactions of the Association for Computational Linguistics, 2019
We present DREAM, the first dialogue-based multiple-choice reading comprehension data set. Collected from English as a Foreign Language examinations designed by human experts to evaluate the comprehension level of Chinese learners of English, our data ...
Kai Sun   +5 more
semanticscholar   +1 more source

An Adaptive Management Model for Brown Bears in Hokkaido: Based on Total Population and the Number of Nuisance Bears

open access: yesPopulation Ecology, EarlyView.
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda   +5 more
wiley   +1 more source

Using a translanguaging approach in teaching paraphrasing to enhance reading comprehension in first-year students

open access: yesReading & Writing, 2019
Background: The teaching of reading strategies that enhance comprehension is a priority for many practising lecturers involved in academic literacy programmes.
Vimbai Hungwe
semanticscholar   +1 more source

Event Extraction as Machine Reading Comprehension

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
Event extraction (EE) is a crucial information extraction task that aims to extract event information in texts. Previous methods for EE typically model it as a classification task, which are usually prone to the data scarcity problem.
Jian Liu   +4 more
semanticscholar   +1 more source

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