Automated coherence metrics constitute an efficient and popular way to evaluate topic
models. Previous works present a mixed picture of their presumed correlation with human …

Topic modeling seems to be almost synonymous with generating lists of top words to
represent topics within large text corpora. However, deducing a topic from such list of …

Few-shot methods for accurate modeling under sparse label-settings have improved
significantly. However, the applications of few-shot modeling in natural language processing …

Abstract We present an Natural Language Processing based analysis on the phenomenon
of “Meme Stocks”, which has emerged as a result of the proliferation of neo-brokers like …

Topic modelling was mostly dominated by Bayesian graphical models during the last
decade. With the rise of transformers in Natural Language Processing, however, several …

Effective communication requires the ability to refer to specific parts of an observation in
relation to others. While emergent communication literature shows success in developing …

Compilation is the process of translating the textual representation of source code into
machine code. This process is traditionally implemented as a series of single-threaded …