Personal Information

nameAlexander Panchenko
positionPostdoctoral Researcher
emailpanchenko-at-lt.informatik.tu-darmstadt.de
phone+49 6151 16-25413
fax+49-6151-16-25412
officeA324 S2|02
postal address

TU Darmstadt - FB 20
Language Technology

Hochschulstraße 10
D-64289 Darmstadt
Germany

personal sitepanchenko.me

General Information

Hello, I am Alexander, a postdoctoral researcher in Natural Language Processing at working with Prof. Chris Biemann. My main research interest is computational lexical semantics, including semantic similarity, word sense induction and disambiguation.

In the past I worked on other NLP-related topics including short text classification for social media analysis (sentiment analysis, topic categorisation, gender categorisation, age detection) and skill extraction from text. More generally, I am interested in statistical natural language processing, information retrieval, semantic web, machine learning and intersections of any interactions of these fields.

To get a better idea about my research please visit a lexico-semantic search engine Serelex. You can also may find something interesting in my PhD dissertation “Similarity Measures for Semantic Relation Extraction” or in one of the papers listed below. 

Currently I am working a research project supported by DFG on Joining Ontologies and semantics INduced from Text (JOIN-T). This is a collaborative project between Technical University of Darmstadt and University of Mannheim

 

Publications

Software

  • Lexico-semantic search engine "Serelex". A web app that lets you find semantically related words. 
  • PyMystem: a morphological analyser of Russian language for Python based on Yandex MyStem.
  • PatternSima tool for calculation semantic similarity between words from a text corpus based on lexico-syntactic patterns. The tool implements Hearst patterns for English, French, Russian and Portuguese, so you can extract hypernyms from text in these languages.  
  • russe-evaluation: a collection of scripts and datasets for evaluation of Russian semantic similarity measures.
  • TAXI: a system for taxonomy induction from text. 
  • JoSimText: This system performs word sense induction and disambiguation. This is an implementation of the JoBimText approach in Scala, Spark and tuned for induction of word Senses (hence the "S" in the name). The original JoBimText implementation is written in Java/Pig and is more generic as it supposes that "Jo"s (i.e. objects) and "Bims (i.e. features) can be any linguistic objects. This particular implementation is designed for modelling of words and multiword expressions. I currently maintain the system originally proposed by Johannes Simon
  • Skill extraction engine "Elisit": a web app that lets you extract skills from text. Paste some text and it will retrieve LinkedIn skills of the author. 
  • Global visualization of lexico-semantic network of Russian words.
  • Short Text Categorizer: a simple text categorization system based on linear models and vector space model.

Professional Affilations and Services

  • (2017) Program Committee member, ESWC, The Semantic Web conference
  • (2017) Program Committee member, Advanced Solutions for Semantic Extraction from Texts (ASSET) co-located with the ESWC conference
  • (2017) Program Committee member, TextGraphs Workshop co-located with the ACL conference.
  • (2017) Program Committee member, Workshop on Representation Learning for NLP, co-located with the ACL conference.
  • (2017) Program Committee member, International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness (SMERP) co-located with 39th European Conference on Information Retrieval (ECIR 2017)
  • (2016) Reviewer, COLING, International Conference on Natural Language Processing
  • (2016) Reviewer, International Journal of Artificial Intelligence and Soft Computing, INTERSCIENCE publishers.
  • (2016) Program Committee member, Conference on Artificial Intelligence and Natural Language (AINL)
  • (2016) Co-Chair, The 3d International Workshop on Concept Discovery in Unstructured Data (CDUD)
  • (2016, 2017), Program Committee member, SEMANTiCS conference
  • (2017) Program Committee member, RECITAL (Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues) co-located with TALN French NLP conference
  • (2015) Reviewer, IEEE Internet Computing Journal
  • (2014, 2015) Program Committee member, IEEE/WIC/ACM International Conference on Web Intelligence
  • (2015, 2016, 2017) Program Committee member, The International Conference on Applications of Natural Language to Information Systems, NLDB 
  • (2014) Program Committee member, Young Scientists Conference, Russian Summer School in Information Retrieval, RUSSIR 
  • (2014, 2015, 2016, 2017) Co-Chair, AIST, Conference on Analysis of Images, Social networks and Texts.
  • (2013, 2015) Reviewer, RANLP, Conference on Recent Advances in Natural Language Processing.
  • (2014) Reviewer, CAN, Elsevier Journal.
  • (2011, 2013) Reviewer for LTC, The Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics.
  • Member of the Association pour le Traitement Automatique du Langage (ATALA, Paris, France) and the Association for Computational Linguistics (ACL, Stroudsburg, PA, USA).
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