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Natural Language Processing and Information Systems

Overview of attention for book
Cover of 'Natural Language Processing and Information Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deep Neural Network Models for Paraphrased Text Classification in the Arabic Language
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    Chapter 2 Model Answer Generation for Word-Type Questions in Elementary Mathematics
  4. Altmetric Badge
    Chapter 3 Learning Mobile App Embeddings Using Multi-task Neural Network
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    Chapter 4 Understanding User Query Intent and Target Terms in Legal Domain
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    Chapter 5 Bidirectional Transformer Based Multi-Task Learning for Natural Language Understanding
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    Chapter 6 LSVS: Link Specification Verbalization and Summarization
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    Chapter 7 Deceptive Reviews Detection Using Deep Learning Techniques
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    Chapter 8 JASs: Joint Attention Strategies for Paraphrase Generation
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    Chapter 9 Structure-Based Supervised Term Weighting and Regularization for Text Classification
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    Chapter 10 Gated Convolutional Neural Networks for Domain Adaptation
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    Chapter 11 A Keyword Search Approach for Semantic Web Data
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    Chapter 12 Intent Based Association Modeling for E-commerce
  14. Altmetric Badge
    Chapter 13 From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects
  15. Altmetric Badge
    Chapter 14 Cross-Corpus Training with CNN to Classify Imbalanced Biomedical Relation Data
  16. Altmetric Badge
    Chapter 15 Discourse-Driven Argument Mining in Scientific Abstracts
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    Chapter 16 TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes
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    Chapter 17 Estimating the Believability of Uncertain Data Inputs in Applications for Alzheimer’s Disease Patients
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    Chapter 18 Deep Genetic Algorithm-Based Voice Pathology Diagnostic System
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    Chapter 19 An Arabic-Multilingual Database with a Lexicographic Search Engine
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    Chapter 20 Bug Severity Prediction Using a Hierarchical One-vs.-Remainder Approach
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    Chapter 21 A Coherence Model for Sentence Ordering
  23. Altmetric Badge
    Chapter 22 Unified Parallel Intent and Slot Prediction with Cross Fusion and Slot Masking
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    Chapter 23 Evaluating the Accuracy and Efficiency of Sentiment Analysis Pipelines with UIMA
  25. Altmetric Badge
    Chapter 24 Comparing Different Word Embeddings for Multiword Expression Identification
  26. Altmetric Badge
    Chapter 25 Analysis and Prediction of Dyads in Twitter
  27. Altmetric Badge
    Chapter 26 Mathematical Expression Extraction from Unstructured Plain Text
  28. Altmetric Badge
    Chapter 27 A Study on Self-attention Mechanism for AMR-to-text Generation
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    Chapter 28 PreMedOnto: A Computer Assisted Ontology for Precision Medicine
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    Chapter 29 An Approach for Arabic Diacritization
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    Chapter 30 A Novel Approach Towards Fake News Detection: Deep Learning Augmented with Textual Entailment Features
  32. Altmetric Badge
    Chapter 31 Contextualized Word Embeddings in a Neural Open Information Extraction Model
  33. Altmetric Badge
    Chapter 32 Towards Recognition of Textual Entailment in the Biomedical Domain
  34. Altmetric Badge
    Chapter 33 Development of a Song Lyric Corpus for the English Language
  35. Altmetric Badge
    Chapter 34 A Natural Language Interface Supporting Complex Logic Questions for Relational Databases
  36. Altmetric Badge
    Chapter 35 Waste Not: Meta-Embedding of Word and Context Vectors
  37. Altmetric Badge
    Chapter 36 Extracting Statistical Mentions from Textual Claims to Provide Trusted Content
  38. Altmetric Badge
    Chapter 37 Aspect Extraction from Reviews Using Convolutional Neural Networks and Embeddings
Attention for Chapter 13: From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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2 X users

Citations

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Chapter title
From Web Crawled Text to Project Descriptions: Automatic Summarizing of Social Innovation Projects
Chapter number 13
Book title
Lecture Notes in Computer Science
Published in
Lecture notes in computer science, June 2019
DOI 10.1007/978-3-030-23281-8_13
Book ISBNs
978-3-03-023280-1, 978-3-03-023281-8
Authors

Nikola Milošević, Dimitar Marinov, Abdullah Gök, Goran Nenadić, Abdullah Gӧk, Goran Nenadic, Milošević, Nikola, Marinov, Dimitar, Gök, Abdullah, Nenadić, Goran

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Doctoral Student 2 15%
Researcher 2 15%
Student > Master 2 15%
Lecturer 1 8%
Other 0 0%
Unknown 3 23%
Readers by discipline Count As %
Computer Science 3 23%
Business, Management and Accounting 2 15%
Engineering 2 15%
Social Sciences 2 15%
Economics, Econometrics and Finance 1 8%
Other 0 0%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2019.
All research outputs
#14,452,040
of 23,150,406 outputs
Outputs from Lecture notes in computer science
#4,333
of 8,147 outputs
Outputs of similar age
#192,472
of 352,212 outputs
Outputs of similar age from Lecture notes in computer science
#4
of 23 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,147 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.