Artificial intelligence (AI) is defined as the ability of machines to perform tasks that are usually
associated with intelligent beings. Argument and debate are fundamental capabilities of …

The language that we produce reflects our personality, and various personal and demographic
characteristics can be detected in natural language texts. We focus on one particular …

Existing Large Multimodal Models (LMMs) generally focus on only a few regions and
languages. As LMMs continue to improve, it is increasingly important to ensure they understand …

Abstract Language use is known to be influenced by personality traits as well as by
sociodemographic characteristics such as age or mother tongue. As a result, it is possible to …

Large language models have achieved success on a number of downstream tasks, particularly
in a few and zero-shot manner. As a consequence, researchers have been investigating …

The stream of words produced by Automatic Speech Recognition (ASR) systems is typically
devoid of punctuations and formatting. Most natural language processing applications …

In Natural Language Understanding, the task of response generation is usually focused on
responses to short texts, such as tweets or a turn in a dialog. Here we present a novel task of …

Abstract Machine Translation (MT) has advanced in recent years to produce better translations
for clients’ specific domains, and sophisticated tools allow professional translators to …

Sentence Connectivity is a textual characteristic that may be incorporated intelligently for the
selection of sentences of a well meaning summary. However, the existing summarization …

This paper addresses the task of handling unknown terms in SMT. We propose using source-language
monolingual models and resources to paraphrase the source text prior to …