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Analysis of Images, Social Networks and Texts

Overview of attention for book
Cover of 'Analysis of Images, Social Networks and Texts'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Double-Blind Peer-Reviewing and Inclusiveness in Russian NLP Conferences
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    Chapter 2 Intel Distribution of OpenVINO Toolkit: A Case Study of Semantic Segmentation
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    Chapter 3 Experimental Analysis of Approaches to Multidimensional Conditional Density Estimation
  5. Altmetric Badge
    Chapter 4 Histogram-Based Algorithm for Building Gradient Boosting Ensembles of Piecewise Linear Decision Trees
  6. Altmetric Badge
    Chapter 5 Deep Reinforcement Learning Methods in Match-3 Game
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    Chapter 6 Distance in Geographic and Characteristics Space for Real Estate Price Prediction
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    Chapter 7 Fast Nearest-Neighbor Classifier Based on Sequential Analysis of Principal Components
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    Chapter 8 A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model
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    Chapter 9 Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs
  11. Altmetric Badge
    Chapter 10 Combining Neural Language Models for Word Sense Induction
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    Chapter 11 Log-Based Reading Speed Prediction: A Case Study on War and Peace
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    Chapter 12 Cross-Lingual Argumentation Mining for Russian Texts
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    Chapter 13 Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media
  15. Altmetric Badge
    Chapter 14 Deep Embeddings for Brand Detection in Product Titles
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    Chapter 15 Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspect Extraction
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    Chapter 16 Combined Advertising Sign Classifier
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    Chapter 17 A Comparison of Algorithms for Detection of “Figurativeness” in Metaphor, Irony and Puns
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    Chapter 18 Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features
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    Chapter 19 Evaluation of Sentence Embedding Models for Natural Language Understanding Problems in Russian
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    Chapter 20 Noun Compositionality Detection Using Distributional Semantics for the Russian Language
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    Chapter 21 Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian
  23. Altmetric Badge
    Chapter 22 Selecting an Optimal Feature Set for Stance Detection
  24. Altmetric Badge
    Chapter 23 Analysis of Students Educational Interests Using Social Networks Data
  25. Altmetric Badge
    Chapter 24 Multilevel Exponential Random Graph Models Application to Civil Participation Studies
  26. Altmetric Badge
    Chapter 25 The Entity Name Identification in Classification Algorithm: Testing the Advocacy Coalition Framework by Document Analysis (The Case of Russian Civil Society Policy)
  27. Altmetric Badge
    Chapter 26 Multi-label Image Set Recognition in Visually-Aware Recommender Systems
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    Chapter 27 Input Simplifying as an Approach for Improving Neural Network Efficiency
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    Chapter 28 American and Russian Sign Language Dactyl Recognition and Text2Sign Translation
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    Chapter 29 Data Augmentation with GAN: Improving Chest X-Ray Pathologies Prediction on Class-Imbalanced Cases
  31. Altmetric Badge
    Chapter 30 Estimation of Non-radial Geometric Distortions for Dash Cams
  32. Altmetric Badge
    Chapter 31 On Expert-Defined Versus Learned Hierarchies for Image Classification
  33. Altmetric Badge
    Chapter 32 A Switching Morphological Algorithm for Depth Map Recovery
  34. Altmetric Badge
    Chapter 33 Learning to Approximate Directional Fields Defined Over 2D Planes
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    Chapter 34 Fast and Exact Algorithms for Some NP-Hard 2-Clustering Problems in the One-Dimensional Case
  36. Altmetric Badge
    Chapter 35 Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with Non-uniform Non-splittable Demand
  37. Altmetric Badge
    Chapter 36 Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs
  38. Altmetric Badge
    Chapter 37 A Method to Improve Workflow Net Decomposition for Process Model Repair
Attention for Chapter 10: Combining Neural Language Models for Word Sense Induction
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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4 X users

Citations

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Chapter title
Combining Neural Language Models for Word Sense Induction
Chapter number 10
Book title
Analysis of Images, Social Networks and Texts
Published in
arXiv, July 2019
DOI 10.1007/978-3-030-37334-4_10
Book ISBNs
978-3-03-037333-7, 978-3-03-037334-4
Authors

Nikolay Arefyev, Boris Sheludko, Tatiana Aleksashina, Arefyev, Nikolay, Sheludko, Boris, Aleksashina, Tatiana

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Arts and Humanities 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 June 2020.
All research outputs
#15,592,673
of 23,182,015 outputs
Outputs from arXiv
#379,866
of 954,772 outputs
Outputs of similar age
#194,988
of 315,834 outputs
Outputs of similar age from arXiv
#11,572
of 28,430 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 954,772 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 315,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,430 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 53% of its contemporaries.