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Found 14 papers, 4 papers with code
Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media
This paper presents our contribution to the ProfNER shared task.
Challenges in Creating a Representative Corpus of Romanian Micro-Blogging Text
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
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).
RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism
This paper presents RACAI’s system used for the shared task of “Multilingual Complex Named Entity Recognition (MultiCoNER)”, organized as part of the “The 16th International Workshop on Semantic Evaluation (SemEval 2022)”.
Romanian Language Translation in the RELATE Platform
This paper presents the usage of the RELATE platform for translation tasks involving the Romanian language.
RACAI@SMM4H’22: Tweets Disease Mention Detection Using a Neural Lateral Inhibitory Mechanism
This paper presents our system employed for the Social Media Mining for Health (SMM4H) 2022 competition Task 10 - SocialDisNER.
Romanian micro-blogging named entity recognition including health-related entities
This paper introduces a manually annotated dataset for named entity recognition (NER) in micro-blogging text for Romanian language.
Named Entity Recognition in the Romanian Legal Domain
Furthermore, the system combines multiple distributional representations of words, including word embeddings trained on a large legal domain corpus.
Ranked #1 on
Named Entity Recognition (NER)
on LegalNERo
Improving Romanian BioNER Using a Biologically Inspired System
Recognition of named entities present in text is an important step towards information extraction and natural language understanding.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained on.
PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptors
EuroVoc is a multilingual thesaurus that was built for organizing the legislative documentary of the European Union institutions.
TermEval 2020: RACAI's automatic term extraction system
This paper describes RACAI{'}s automatic term extraction system, which participated in the TermEval 2020 shared task on English monolingual term extraction.
MWSA Task at GlobaLex 2020: RACAI's Word Sense Alignment System using a Similarity Measurement of Dictionary Definitions
This paper describes RACAI{'}s word sense alignment system, which participated in the Monolingual Word Sense Alignment shared task organized at GlobaLex 2020 workshop.
Tools and resources for Romanian text-to-speech and speech-to-text applications
In this paper we introduce a set of resources and tools aimed at providing support for natural language processing, text-to-speech synthesis and speech recognition for Romanian.
