Semantic relatedness between words is a core concept in natural language processing.
While countless approaches have been proposed, measuring which one works best is still a …

3. Prepis muze být rozdelen do vıce souboru. Soubory pak musı být vzestupne ocıslovány a
název souboru pak musı koncit cıslem souboru.(Naprıklad: Rozhovor s Janem Sokolem 1 …

SimLex-999 is a widely used lexical resource for tracking progress in word similarity
computation. It anchors similarity in synonymy, while other researchers such as Agirre et …

Semantic textual similarity is the core shared task at the International Workshop on Semantic
Evaluation (SemEval). It focuses on sentence meaning comparison. So far, most of the …

A distributional semantics model—also known as word embeddings—is a major asset for
any language as the research results reported in the literature have consistently shown that …

In this paper we evaluate our new approach based on the Continuous Bag-of-Words and
Skip-gram models enriched with global context information on highly inflected Czech …

We present an evaluation of Czech low-dimensional distributed word representations, also
known as word embeddings. We describe five different approaches to training the models …

Neural word embeddings have been widely used in modern NLP applications as they
provide vector representation of words and capture the semantic properties of words and the …

V posledních letech vykazují metody založené na neuronových sítích zásadní zlepšení v
zachycení sémantiky a syntaxe slov nebo vět. Mnoho bylo vyzkoumáno o vnoření anglických …

Abstract Extension of Skip-Gram and Continuous Bag-of-Words models via global context
information is presented in this paper. Wikipedia corpus where articles are organized in a …