Work

Word Embeddings from Large-Scale Greek Web Content

Year: 2018

Type: preprint

Abstract: Word embeddings are undoubtedly very useful components in many NLP tasks. In this paper, we present word embeddings and other linguistic resources trained on the largest to date digital Greek language corpus. We also present a live web tool for testing the Greek word embeddings, by offering "analogy", "similarity score" and "most similar words" functions. Through our explorer, one could interact with the Greek word vectors.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1810.06694

Authors: Outsios, Stamatis, Skianis, Konstantinos, Meladianos, Polykarpos, Xypolopoulos, Christos, Vazirgiannis, Michalis

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2896825822

Cites: 3

Cited by: 7

Related to: 10