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Computational Linguistics and Intelligent Text Processing

19th International Conference, CICLing 2018, Hanoi, Vietnam, March 18–24, 2018, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2023

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Editors:
  1. Alexander Gelbukh

    1. Instituto Politécnico Nacional, Mexico City, Mexico

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13397)

Included in the following conference series:

Conference proceedings info: CICLing 2018.

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About this book

The two-volume set LNCS 13396 and 13397 constitutes revised selected papers from the CICLing 2018 conference which took place in Hanoi, Vietnam, in March 2018.

The total of 68 papers presented in the two volumes was carefully reviewed and selected from 181 submissions. The focus of the conference was on following topics such as computational linguistics and intelligent text and speech processing and others.

The papers are organized in the following topical sections: General, Author profiling and authorship attribution, social network analysis, Information retrieval, information extraction, Lexical resources, Machine translation, Morphology, syntax, Semantics and text similarity, Sentiment analysis, Syntax and parsing, Text categorization and clustering, Text generation, and  Text mining.

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Keywords

Table of contents (34 papers)

  1. Front Matter

    Pages i-xviii
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  2. Semantics and Text Similarity

    1. Front Matter

      Pages 1-1
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    2. Finding Word Sense Embeddings of Known Meaning

      • Lyndon White, Roberto Togneri, Wei Liu, Mohammed Bennamoun
      Pages 3-16

    3. Using Shallow Semantic Analysis to Implement Automated Quality Assessment of Web Health Care Information

      • Yanjun Zhang, Robert E. Mercer, Jacquelyn Burkell, Hong Cui
      Pages 17-31

    4. OntoSenseNet: A Verb-Centric Ontological Resource for Indian Languages

      • Jyoti Jha, Sreekavitha Parupalli, Navjyoti Singh
      Pages 32-45

    5. Detection of Change in the Senses of AI in Popular Discourse

      • Ahmet Suerdem, Tugba Dalyan, Savaş Yıldırım
      Pages 46-58

    6. Sparse Word Representation for RNN Language Models on Cellphones

      • Chong Ruan, Yanshuang Liu
      Pages 59-68

  3. Sentiment Analysis

    1. Front Matter

      Pages 69-69
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    2. Predicting Email Opens with Domain-Sensitive Affect Detection

      • Niyati Chhaya, Kokil Jaidka, Rahul Wadbude
      Pages 71-79

    3. Detection of Suicidal Intentions of Tunisians via Facebook

      • Jihen Nasri, Salma Jamoussi
      Pages 80-91

    4. Relationships and Sentiment Analysis of Fictional or Real Characters

      • Paul Diac, Cătălina Mărănduc, Mihaela Colhon
      Pages 92-103

    5. Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages

      • Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
      Pages 104-114

    6. Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks

      • Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
      Pages 115-128

    7. Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages

      • Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
      Pages 129-141

    8. Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining

      • Rajiv Bajpai, Devamanyu Hazarika, Kunal Singh, Sruthi Gorantla, Erik Cambria, Roger Zimmermann
      Pages 142-160

    9. A Decision-Level Approach to Multimodal Sentiment Analysis

      • Haithem Afli, Jason Burns, Andy Way
      Pages 161-168

    10. Text-Image Sentiment Analysis

      • Qian Chen, Edoardo Ragusa, Iti Chaturvedi, Erik Cambria, Rodolfo Zunino
      Pages 169-180

    11. A Study on Far-Field Emotion Recognition Based on Deep Convolutional Neural Networks

      • Panikos Heracleous, Yasser Mohammad, Koichi Takai, Keiji Yasuda, Akio Yoneyama, Fumiaki Sugaya
      Pages 181-193

  4. Syntax and Parsing

    1. Front Matter

      Pages 195-195
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    2. Cross-Framework Evaluation for Portuguese POS Taggers and Parsers

      • Sandra Collovini, Henrique D. P. Santos, Thiago Lima, Evandro Fonseca, Bolivar Pereira, Marlo Souza et al.
      Pages 197-208
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Other volumes

  1. Computational Linguistics and Intelligent Text Processing

  2. Computational Linguistics and Intelligent Text Processing

Editors and Affiliations

  • Instituto Politécnico Nacional, Mexico City, Mexico

    Alexander Gelbukh

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