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.
“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.
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.
University of Leeds