Results 1 to 10 of about 119 (110)
Building a Discourse-Argument Hybrid System for Vietnamese Why-Question Answering. [PDF]
Recently, many deep learning models have archived high results in question answering task with overall F1 scores above 0.88 on SQuAD datasets. However, many of these models have quite low F1 scores on why‐questions. These F1 scores range from 0.57 to 0.7 on SQuAD v1.1 development set.
Nguyen CT, Nguyen DT.
europepmc +2 more sources
Intelligent Reading of English Text Based on the Generative Model Constraint Label Fusion. [PDF]
The intelligent reading of English text is affected by complex environmental factors, which will result in low reading accuracy and poor reader experience. Based on the artificial intelligence model, this study constructs the artificial intelligence English text reading model by using the generative model constraint label, which helps to improve the ...
Yang H, Wei H.
europepmc +2 more sources
The extractive summarization approach involves selecting the source document’s salient sentences to build a summary. One of the most important aspects of extractive summarization is learning and modelling cross‐sentence associations. Inspired by the popularity of Transformer‐based Bidirectional Encoder Representations (BERT) pretrained linguistic model
Umair M +5 more
europepmc +2 more sources
Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST). [PDF]
Liu X, Liu X.
europepmc +2 more sources
This study investigates how professional interpreters externalise coherence-building processes during consecutive interpreting (CI) through the spatial organisation of their notes. Twelve English-Chinese professional interpreters performed a long CI task,
Weiwei Zhang, Marc Orlando
doaj +3 more sources
Abstract Disclosure of HIV status is usually considered a private encounter involving only a limited number of people at a time. Many people living with HIV are strategic about deciding in what contexts, using which approach, to whom, and to what extent they disclose HIV status.
Steven P. Philpot +4 more
wiley +1 more source
Analyzing Machine Learning Enabled Fake News Detection Techniques for Diversified Datasets
Fake news, or fabric which appeared to be untrue with point of deceiving the open, has developed in ubiquity in current a long time. Spreading this kind of data undermines societal cohesiveness and well by cultivating political division and doubt in government.
Shubha Mishra +3 more
wiley +1 more source
This study presents our research on the potential of using rhetorical relations and superfi cial marks evidencing them to discriminate among specialized texts of different domains but with a high specialization level, in two very different languages as ...
Mikel Iruskieta, Iria da Cunha
doaj +3 more sources
Abstract For well over a century, the journal Science Education has been publishing articles about the teaching and learning of science. These articles represent more than just a repository of past work: they have the potential to offer insights into both the history of science education as well as well as the dynamics of field‐specific change.
Tor Ole B. Odden +2 more
wiley +1 more source
Exploration of Cross‐Modal Text Generation Methods in Smart Justice
With the development of modern science and technology, information technology has brought great changes to many fields. Smart justice has become one of the increasing areas that people are paying more attention to. For example, large and small cases occur every day, and the legal library is continuously updated.
Yangqianhui Zhang, Liang Zou
wiley +1 more source

