This paper details the process of developing the first native large
gene...
Pre-training Large Language Models (LLMs) require massive amounts of tex...
Distributional semantics has deeply changed in the last decades. First,
...
Sentiment and topic analysis are common methods used for social media
mo...
This paper introduces a novel type of data-driven segmented unit that we...
This paper is a short empirical study of the performance of centrality a...
This paper is concerned with nearest neighbor search in distributional
s...