Search Results for author: Andrei-Marius Avram

Found 19 papers, 8 papers with code

Exploring the Power of Romanian BERT for Dialect Identification

no code implementations VarDial (COLING) 2020 George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Traian Rebedea

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.

Dialect Identification Opinion Mining

RACAI@SMM4H’22: Tweets Disease Mention Detection Using a Neural Lateral Inhibitory Mechanism

no code implementations SMM4H (COLING) 2022 Andrei-Marius Avram, Vasile Pais, Maria Mitrofan

This paper presents our system employed for the Social Media Mining for Health (SMM4H) 2022 competition Task 10 - SocialDisNER.

Romanian Language Translation in the RELATE Platform

no code implementations loresmt (COLING) 2022 Vasile Pais, Maria Mitrofan, Andrei-Marius Avram

This paper presents the usage of the RELATE platform for translation tasks involving the Romanian language.


Use Case: Romanian Language Resources in the LOD Paradigm

no code implementations LDL (ACL) 2022 Verginica Barbu Mititelu, Elena Irimia, Vasile Pais, Andrei-Marius Avram, Maria Mitrofan

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).

Word Embeddings

A Customizable WordNet Editor

no code implementations CLIB 2020 Andrei-Marius Avram, Verginica Barbu Mititelu

This paper presents an open-source wordnet editor that has been developed to ensure further expansion of the Romanian wordnet.

Approaching SMM4H 2020 with Ensembles of BERT Flavours

no code implementations SMM4H (COLING) 2020 George-Andrei Dima, Andrei-Marius Avram, Dumitru-Clementin Cercel

This paper describes our solutions submitted to the Social Media Mining for Health Applications (#SMM4H) Shared Task 2020.

TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)

no code implementations30 Dec 2022 Răzvan-Alexandru Smădu, George-Eduard Zaharia, Andrei-Marius Avram, Dumitru-Clementin Cercel, Mihai Dascalu, Florin Pop

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.

Domain Adaptation Information Retrieval +3

An Open-Domain QA System for e-Governance

no code implementations CLIB 2022 Radu Ion, Andrei-Marius Avram, Vasile Păiş, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, Valentin Badea

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.

Open-Domain Question Answering

Distilling the Knowledge of Romanian BERTs Using Multiple Teachers

1 code implementation LREC 2022 Andrei-Marius Avram, Darius Catrina, Dumitru-Clementin Cercel, Mihai Dascălu, Traian Rebedea, Vasile Păiş, Dan Tufiş

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.

Dialect Identification Knowledge Distillation +8

Romanian Speech Recognition Experiments from the ROBIN Project

1 code implementation23 Nov 2021 Andrei-Marius Avram, Vasile Păiş, Dan Tufiş

One of the fundamental functionalities for accepting a socially assistive robot is its communication capabilities with other agents in the environment.

Language Modelling speech-recognition +1

Human-Machine Interaction Speech Corpus from the ROBIN project

no code implementations22 Nov 2021 Vasile Păiş, Radu Ion, Andrei-Marius Avram, Elena Irimia, Verginica Barbu Mititelu, Maria Mitrofan

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.

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