Тақырыпты Белгілеу

We discuss a method for augmenting and rearranging a structured lexicon in order to make it more suitable for a topic labefing task, by making use of lexical association information …...

We propose a novel framework for topic la- beling that assigns the most representative phrases for a given set of sentences cover- ing the same topic. We build an entailment …...

AbstractRecently, topic modeling has been widely applied in data mining due to its powerful ability. A common, major challenge in applying such topic models to other tasks is to accurately …...

Labeling topics learned by topic models is a challenging problem. Previous studies have used words, phrases and images to label topics. In this paper, we propose to use text summaries …...

AbstractWe propose a novel solution for assigning labels to topic models by using multiple weak labelers. The method leverages generative transformers to learn accurate representations of the most important topic …...