The paper gives an overview of the Russian Semantic Similarity Evaluation (RUSSE) shared
task held in conjunction with the Dialogue 2015 conference. There exist a lot of comparative …

This book is motivated by the large gap between the black-box nature of deep learning
architectures and the human interpretability of the knowledge models they encode. It is …

While pragmatics, through its integration of situational awareness and real world relevant
knowledge, offers a high level of analysis that is suitable for real interpretation of natural …

Much attention has been given to the impact of informativeness and similarity measures on
distributional thesauri. We investigate the effects of context filters on thesaurus quality and …

Использование онтологии для оценки семантической корректности синта Page 1 Arefyev
NV (narefjev@cs.msu.su) Lomonosov Moscow State University & Digital Society Laboratory …

Semantic relations, such as synonyms, hypernyms and co-hyponyms proved to be useful for
text processing applications, including text similarity, query expansion, question answering …

Dictionaries are important tools for language producers but they are rarely organized for an
easy access to words from concepts. Such access can be facilitated by the presence of …

Automatic synonyms and semantically related word extraction is a challenging task, useful in
many NLP applications such as question answering, search query expansion, text …

Abstract Thinking in business processes and using process models for their documentation
has become common practice in companies. In many cases this documentation …

Il est possible de construire des modèles distributionnels en ne considérant que la
cooccurrence graphique entre les mots, ou bien en utilisant des relations syntaxiques de …