We propose a model to generate music following a linguistic approach. Musical melodies
form the training corpus where each of them is considered a phrase of a language …

Automatic text summarization has emerged as a technique for accessing only to useful
information. In order to known the quality of the automatic summaries produced by a system …

One of the main research challenges nowadays in the context of Massive Open Online
Courses (MOOCs) is the automation of the evaluation process of text-based assessments …

In this paper I outline part of the results of fifteen years of research of the Natural Language
Processing (NLP) Laboratory of CIC-IPN. NLP is a set of technologies that in long run will …

Abstract We present a Textual Entailment (TE) recognition system that uses semantic
features based on the Universal Networking Language (UNL). The proposed TE system …

We show that a task that typically involves rather deep semantic processing of text—being
recognizing textual entailment our case study—can be successfully solved without any tools …

The COVID-19 pandemic, which started in late 2019, had caused many infections and
deaths worldwide by November 2023. Not only the physical effects, but its psychological …

Umjetna inteligencija danas dotiče svaki dio života, a od organizacija se očekuje
implementacija kako bi zadržale konkurentsku prednost i opstale na dinamičnom globalnom …

The paper describes an SMS-based FAQ retrieval system. The goal of this task is to find a
question Q* from corpora of FAQs (Frequently Asked Questions) that best answers or …

Soft-cardinality spectra (SC spectra) is a new method of approximation for text strings in
linear time, which divides text strings into character q-grams of different sizes. The method …