The goal of the present paper is to report on the on-going research for applying psycholinguistic resources to building a WordNet-like lexicon of the Russian language. We are to survey different kinds of the linguistic data that can be extracted from a Word Association Thesaurus, a resource representing the results of a largescaled free association test. In addition, we will give a comparison o...

The paper describes the writing of Sketch Grammar for the Russian language as a part of the Sketch Engine system. The Sketch Engine representing itself a corpus tool which takes as input a corpus of any language and corresponding grammar patterns. The system gives information about a word’s collocability on concrete dependency models, and generates lists of the most frequent phrases for a given...

We present a new framework for an intrinsic evaluation of word vector representations based on the outlier detection task. This task is intended to test the capability of vector space models to create semantic clusters in the space. We carried out a pilot study building a gold standard dataset and the results revealed two important features: human performance on the task is extremely high compa...

Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge discovery tasks such as automatic ontology building and maintenance would also profit from simple and efficient methods for discovering word meanings. The paper presents a novel text mining approach to discovering word ...

The paper describes a set of techniques developed for discrete dictation within a vocabulary that contains up to a million entries, which is one of the main challenges in highly inflected languages like Czech. We present our approach to building an efficiently coded tree lexicon with suffix sub-trees and morphologic classification. Acoustic modeling is based on either monophone, diphone, or tri...

We propose a method for automated generation of adult humor by lexical replacement and present empirical evaluation results of the obtained humor. We propose three types of lexical constraints as building blocks of humorous word substitution: constraints concerning the similarity of sounds or spellings of the original word and the substitute, a constraint requiring the substitute to be a taboo ...

The main goal of this work is to compare two methods for building Topic Signatures, which are vectors of weighted words acquired from large corpora. We used two different software tools, ExRetriever and Infomap, for acquiring Topic Signatures from corpus. Using these tools, we retrieve sense examples from large text collections. Both systems construct a query for each word sense using WordNet. ...

We study the class of word-building games, where two players pick letters from a finite alphabet to construct a finite or infinite word. The outcome is determined by whether the resulting word lies in a prescribed set (a win for player A) or not (a win for player B). We focus on symbolic dynamical games, where the target set is a subshift. We investigate the relation between the target subshift...

Open Mind Word Expert is an implemented active learning system that aims to create large annotated corpora by tapping into the world’s vast pool of knowledge. It does this by relying on the vast number of Web users who contribute their knowledge to data annotation. Open Mind Word Expert focuses on building semantically annotated corpora, by collecting word sense tagging from the general public ...

Lexical-semantic resources are fundamental building blocks in natural language processing (NLP). Frequently, they fail to cover the informal vocabulary of web users as represented in user-generated content. This paper aims at exploring folksonomies as a novel source of lexical-semantic information. It analyzes two prototypical examples of folksonomies, namely BibSonomy and Delicious, and utiliz...