Search Results for author: Elena Irimia

Found 14 papers, 0 papers with code

Challenges in Creating a Representative Corpus of Romanian Micro-Blogging Text

no code implementations CMLC (LREC) 2022 Vasile Pais, Maria Mitrofan, Verginica Barbu Mititelu, Elena Irimia, Roxana Micu, Carol Luca Gasan

Following the successful creation of a national representative corpus of contemporary Romanian language, we turned our attention to the social media text, as present in micro-blogging platforms.

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

Evaluating the Wordnet and CoRoLa-based Word Embedding Vectors for Romanian as Resources in the Task of Microworlds Lexicon Expansion

no code implementations GWC 2019 Elena Irimia, Maria Mitrofan, Verginica Mititelu

The evaluation is made for two situations: one in which the words are not semantically disambiguated before expanding the lexicon, and another one in which they are disambiguated with senses from the Romanian wordnet.

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

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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