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Artificial Intelligence and Natural Language

Overview of attention for book
Cover of 'Artificial Intelligence and Natural Language'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Deep Convolutional Networks for Supervised Morpheme Segmentation of Russian Language
  3. Altmetric Badge
    Chapter 2 Smart Context Generation for Disambiguation to Wikipedia
  4. Altmetric Badge
    Chapter 3 A Multi-feature Classifier for Verbal Metaphor Identification in Russian Texts
  5. Altmetric Badge
    Chapter 4 Lemmatization for Ancient Languages: Rules or Neural Networks?
  6. Altmetric Badge
    Chapter 5 Named Entity Recognition in Russian with Word Representation Learned by a Bidirectional Language Model
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    Chapter 6 Supervised Mover’s Distance: A Simple Model for Sentence Comparison
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    Chapter 7 Direct-Bridge Combination Scenario for Persian-Spanish Low-Resource Statistical Machine Translation
  9. Altmetric Badge
    Chapter 8 Automatic Mining of Discourse Connectives for Russian
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    Chapter 9 Avoiding Echo-Responses in a Retrieval-Based Conversation System
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    Chapter 10 A Model-Free Comorbidities-Based Events Prediction in ICU Unit
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    Chapter 11 Explicit Semantic Analysis as a Means for Topic Labelling
  13. Altmetric Badge
    Chapter 12 Four Keys to Topic Interpretability in Topic Modeling
  14. Altmetric Badge
    Chapter 13 Cleaning Up After a Party: Post-processing Thesaurus Crowdsourced Data
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    Chapter 14 A Comparative Study of Publicly Available Russian Sentiment Lexicons
  16. Altmetric Badge
    Chapter 15 Acoustic Features of Speech of Typically Developing Children Aged 5–16 Years
  17. Altmetric Badge
    Chapter 16 Profiling the Age of Russian Bloggers
  18. Altmetric Badge
    Chapter 17 Stierlitz Meets SVM: Humor Detection in Russian
  19. Altmetric Badge
    Chapter 18 Interactive Attention Network for Adverse Drug Reaction Classification
  20. Altmetric Badge
    Chapter 19 Modeling Propaganda Battle: Decision-Making, Homophily, and Echo Chambers
Attention for Chapter 9: Avoiding Echo-Responses in a Retrieval-Based Conversation System
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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4 X users
facebook
2 Facebook pages

Citations

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3 Dimensions

Readers on

mendeley
18 Mendeley
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Chapter title
Avoiding Echo-Responses in a Retrieval-Based Conversation System
Chapter number 9
Book title
Artificial Intelligence and Natural Language
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-01204-5_9
Book ISBNs
978-3-03-001203-8, 978-3-03-001204-5
Authors

Denis Fedorenko, Nikita Smetanin, Artem Rodichev, Fedorenko, Denis, Smetanin, Nikita, Rodichev, Artem

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 33%
Other 3 17%
Student > Master 3 17%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 14 78%
Mathematics 2 11%
Unknown 2 11%
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 09 October 2018.
All research outputs
#15,118,934
of 24,002,307 outputs
Outputs from arXiv
#305,869
of 1,011,770 outputs
Outputs of similar age
#194,442
of 345,191 outputs
Outputs of similar age from arXiv
#9,476
of 25,469 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 345,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25,469 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 55% of its contemporaries.