CLAIM – научно-образовательный кластер

Русская версия 

Международная версия Русский

Alexander Panchenko

PhD student, Université catholique de Louvain &
Bauman Moscow State Technical University.

Alexander Panchenko

Contact information:

E-mails: panchenko.alexander (#) gmail.com, alexander.panchenko (#) student.uclouvain.be

Skype: alexanderpanchenko

Jabber/Gtalk: panchenko.alexander (#) gmail.com

Education:

  • PhD student in Natural Language Processing, Université catholique de Louvain, 2008-now.
  • PhD student in Computer Science, Bauman Moscow State Technical University, 2008-now (distance learning).
  • Internship in Xerox Research Centre Europe (France), 2009. Internship topic: "Development of a Multimedia Information Seeking Tool".
  • Microsoft Certified Professional in the .NET technologies , 2008.
  • Engineering degree in Computer Science and and Engeneering, majoring in "Data Processing and Control Systems.", Bauman Moscow State Technical University, 2008. Thesis topic: "Automatic Thesaurus Construction System"
  • Internship in Сentre for Natural Language Processing, Université catholique de Louvain (Belgium), 2008. Internship topic: "Overview of Methods for Automatic Thesaurus Construction".
  • Bachelor’s degree in Computer Science and Engeneering, Bauman Moscow State Technical University (Russia), 2006. Thesis topic: "Automated System "Beauty Shop"

Professional activities

PhD student, Center in Natural Language Processing, Université catholique de Louvain (Belgium).

Research interests

The main field of my research interests is (Statistical) Natural Language Processing . Particularly, my research focuses on semantic network and thesaurus construction from text. My other research interests include also Text Mining, Information Retrieval, and Machine Learning / Pattern Recognition for Natural Language Processing.

Topic the PhD thesis: "Semantic Network Construction from Text Documents"

Publications

  1. Panchenko A. Comparison of the Knowledge-, Corpus-, and Web-based Similarity Measures for Semantic Relations Extraction // Proceedings of the GEMS 2011 Workshop on Geometrical Models of Natural Language Semantics, EMNLP 2011, pages 11–21, Edinburgh, Scotland, UK, July 31, 2011. Association for Computational Linguistics
  2. Panchenko A. Can We Automatically Reproduce Semantic Relations of an Information Retrieval Thesaurus?, // In Proceedings of the 4th Russian Summer School in Information Retrieval RuSSIR., pages 36–51, 2010.

    reprinted in:

    Panchenko A. Method for Automatic Construction of Semantic Relations Between Concepts of an Information Retrieval Thesaurus. // In Herald of the Voronezh State University. Series “Systems Analysis and Information Technologies”, vol.2, pp.131–139, 2011.
  3. Panchenko A. Computing Semantic Relations from Heterogeneous Evidence. (Abstract) // In 21th meeting of Computational Linguistics In the Netherlands (CLIN21), University College of Ghent, Belgium, p.39, 2011.
  4. A.Panchenko. Technology of the Automated Thesaurus construction for Information Retrieval // Intelligence Systems and Technologies, vol.10, Bauman Moscow State Technical University, 2009 (in Russian).
  5. A.Panchenko.Construction of a thesaurus from texts of the problem domain// Abstract in conference "Life of the Language in Culture and Society", 2010 (in Russian).
  6. A.Panchenko.A Tool for Searching Associative Chains in the Associative Network // Intelligence Systems and Technologies vol.9, pp.107-124, Bauman Moscow State Technical University, 2008 (in Russian).
  7. A.Panchenko.A Program for Learning New Vocabulary Using Mobile Devices //Information Technologies in Education vol.8, pp.213-226, Moscow, 2006 (in Russian).

Developments

Associative Net. A program for searching associative chains in the associative network. The application stores and provides access to associative and cognitive networks of various languages (Russian, English, Spanish, German ). The program makes possible multifarious kinds of search for associative chains in the associative networks. The program is written in C# and make use of SQL Server DBMS. (2008).

This software was developed in the framework of the research project "Automated System for Scientific Associative Experiments" in BMSTU under supervision of professors Andrew Philippovich and Yuri Philippovich. Please contact me if you would like to obtain a free copy of the program.

Presentations

Other

Participation in the peer-review for LTC 2011: 5th Language and Technology Conference (Poland).

Additional contacts

Personal interests

Photography, speleology, hiking, and traveling.

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