Dialect identification represents a key aspect for improving a series of tasks, for example, opinion mining, considering that the location of the speaker can greatly influence the attitude towards a subject.
This paper presents our system employed for the Social Media Mining for Health (SMM4H) 2022 competition Task 10 - SocialDisNER.
In this paper, we report on (i) the conversion of Romanian language resources to the Linked Open Data specifications and requirements, on (ii) their publication and (iii) interlinking with other language resources (for Romanian or for other languages).
Dialect identification is a task with applicability in a vast array of domains, ranging from automatic speech recognition to opinion mining.
Financial causality detection is centered on identifying connections between different assets from financial news in order to improve trading strategies.
Keyphrase identification and classification is a Natural Language Processing and Information Retrieval task that involves extracting relevant groups of words from a given text related to the main topic.
The paper will present the QA system and its integration with the Romanian language technologies portal RELATE, the COVID-19 data set and different evaluations of the QA performance.
In this work, we introduce three light and fast versions of distilled BERT models for the Romanian language: Distil-BERT-base-ro, Distil-RoBERT-base, and DistilMulti-BERT-base-ro.
One of the fundamental functionalities for accepting a socially assistive robot is its communication capabilities with other agents in the environment.
The paper contains a detailed description of the acquisition process, corpus statistics as well as an evaluation of the corpus influence on a low-latency ASR system as well as a dialogue component.
EuroVoc is a multilingual thesaurus that was built for organizing the legislative documentary of the European Union institutions.
Extracting semantic information on measurements and counts is an important topic in terms of analyzing scientific discourses.
This work presents our contribution in the context of the 6th task of SemEval-2020: Extracting Definitions from Free Text in Textbooks (DeftEval).