Materials of DIALOGUE 2017

Central topics of “Dialogue 2017”

Application of deep machine learning techniques

Application of methods of deep machine learning for solving applied problems, and in linguistic research occupies a special place in the program of this year's conference. This primarily applies to neural networks and the results of their applications for word embеddings.

Using parallel corpora for linguistic research

Such corpora have been successfully used in NLP, for example, for training statistical models of machine translation, automatic disambiguation, automatic construction of language models. But parallel corpora are also an important tool for contrastive linguistic research.

Proceedings 2017

“Computational Linguistics and Intellectual Technologies”

The Conference Proceedings contain papers from the international conference on Computational Linguistics and Intellectual Technologies “Dialogue”, representing a large range of theoretical and applied research in the area of natural language description, language process description, creation of applied computer-linguistic technologies. 

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Dialogue Evaluation 2017

A special direction of the "Dialogue", which is called Dialogue Evaluation, involves annual comparative testing of computer analysis systems, that solve certain practical problems. Testing results are discussed at the conference.

Invited speakers

Ido Dagan

Ido Dagan


Bar-Ilan University

Sergey Sharoff

Sergey Sharoff

United Kingdom

University of Leeds



  • Deep Learning and Language Adaptation
  • Round Table on Corpus Linguistics: "New Corpora, New Opportunities, Old Problems"
  • Open Knowledge Representation for Textual Information