A Hybrid Sequential Model for Text Simplification

2021 ◽  
pp. 33-42
Author(s):  
Sandip Sarkar ◽  
Dipankar Das ◽  
Partha Pakray ◽  
David Pinto
Keyword(s):  
Sequential Model ◽  
Text Simplification

Automated Text Simplification

2021 ◽  
Vol 54 (2) ◽  
pp. 1-36
Author(s):  
Suha S. Al-Thanyyan ◽  
Aqil M. Azmi
Keyword(s):  
Reading Comprehension ◽  
Information Content ◽  
Evaluation Methods ◽  
Extensive Study ◽  
Low Literacy ◽  
Essential Tool ◽  
Text Simplification ◽  
Over Time ◽  
Original Information ◽  
Research Studies

Text simplification (TS) reduces the complexity of the text to improve its readability and understandability, while possibly retaining its original information content. Over time, TS has become an essential tool in helping those with low literacy levels, non-native learners, and those struggling with various types of reading comprehension problems. In addition, it is used in a preprocessing stage to enhance other NLP tasks. This survey presents an extensive study of current research studies in the field of TS, as well as covering resources, corpora, and evaluation methods that have been used in those studies.

Text Simplification with Self-Attention-Based Pointer-Generator Networks

2018 ◽  
pp. 537-545 ◽  
Author(s):  
Tianyu Li ◽  
Yun Li ◽  
Jipeng Qiang ◽  
Yun-Hao Yuan
Keyword(s):  
Text Simplification

A Sequential Model of R&D Investment Over an Unbounded Time Horizon

1987 ◽  
Vol 33 (4) ◽  
pp. 500-508 ◽  
Author(s):  
Wallace J. Hopp
Keyword(s):  
Time Horizon ◽  
Sequential Model ◽  
D Investment

Text simplification for Malay corpus: A Review

2021 ◽  
Author(s):  
Salehah Omar ◽  
Juhaida Abu Bakar ◽  
Maslinda Mohd Nadzir ◽  
Nor Hazlyna Harun ◽  
Nooraini Yusoff
Keyword(s):  
Text Simplification

Talent Demand Forecasting with Attentive Neural Sequential Model

2021 ◽  
Author(s):  
Qi Zhang ◽  
Hengshu Zhu ◽  
Ying Sun ◽  
Hao Liu ◽  
Fuzhen Zhuang ◽  
...  
Keyword(s):  
Demand Forecasting ◽  
Sequential Model

Improving Human Text Simplification with Sentence Fusion

2021 ◽  
Author(s):  
Max Schwarzer ◽  
Teerapaun Tanprasert ◽  
David Kauchak
Keyword(s):  
Text Simplification

scholarly journals Responses of Rat P2X2 Receptors to Ultrashort Pulses of ATP Provide Insights into ATP Binding and Channel Gating

2007 ◽  
Vol 130 (2) ◽  
pp. 183-201 ◽  
Author(s):  
Luciano Moffatt ◽  
Richard I. Hume
Keyword(s):  
Time Constant ◽  
Kinetic Modeling ◽  
Ultrashort Pulses ◽  
Synaptic Integration ◽  
Kinetic Properties ◽  
Peak Response ◽  
Sequential Model ◽  
Inward Current ◽  
Presynaptic Spike ◽  
Insight Into

To gain insight into the way that P2X2 receptors localized at synapses might function, we explored the properties of outside-out patches containing many of these channels as ATP was very rapidly applied and removed. Using a new method to calibrate the speed of exchange of solution over intact patches, we were able to reliably produce applications of ATP lasting <200 μs. For all concentrations of ATP, there was a delay of at least 80 μs between the time when ATP arrived at the receptor and the first detectable flow of inward current. In response to 200-μs pulses of ATP, the time constant of the rising phase of the current was ∼600 μs. Thus, most channel openings occurred when no free ATP was present. The current deactivated with a time constant of ∼60 ms. The amplitude of the peak response to a brief pulse of a saturating concentration of ATP was ∼70% of that obtained during a long application of the same concentration of ATP. Thus, ATP leaves fully liganded channels without producing an opening at least 30% of the time. Extensive kinetic modeling revealed three different schemes that fit the data well, a sequential model and two allosteric models. To account for the delay in opening at saturating ATP, it was necessary to incorporate an intermediate closed state into all three schemes. These kinetic properties indicate that responses to ATP at synapses that use homomeric P2X2 receptors would be expected to greatly outlast the duration of the synaptic ATP transient produced by a single presynaptic spike. Like NMDA receptors, P2X2 receptors provide the potential for complex patterns of synaptic integration over a time scale of hundreds of milliseconds.

scholarly journals Sequential model to describe the nicotinic synaptic current

1989 ◽  
Vol 55 (5) ◽  
pp. 875-884 ◽  
Author(s):  
H. Parnas ◽  
M. Flashner ◽  
M.E. Spira
Keyword(s):  
Synaptic Current ◽  
Sequential Model

Text Simplification

2018 ◽  
Author(s):  
Horacio Saggion
Keyword(s):  
Language Processing ◽  
Language Resources ◽  
The Past ◽  
Text Simplification ◽  
Text Readability ◽  
Target User ◽  
Evaluation Approaches ◽  
Linguistic Impairment ◽  
Automatic Text ◽  
The Web

Over the past decades, information has been made available to a broad audience thanks to the availability of texts on the Web. However, understanding the wealth of information contained in texts can pose difficulties for a number of people including those with poor literacy, cognitive or linguistic impairment, or those with limited knowledge of the language of the text. Text simplification was initially conceived as a technology to simplify sentences so that they would be easier to process by natural-language processing components such as parsers. However, nowadays automatic text simplification is conceived as a technology to transform a text into an equivalent which is easier to read and to understand by a target user. Text simplification concerns both the modification of the vocabulary of the text (lexical simplification) and the modification of the structure of the sentences (syntactic simplification). In this chapter, after briefly introducing the topic of text readability, we give an overview of past and recent methods to address these two problems. We also describe simplification applications and full systems also outline language resources and evaluation approaches.

Sign in / Sign up

Export Citation Format

Share Document