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Found 23 papers, 2 papers with code
A Romanian Treebank Annotated with Verbal Multiword Expressions
In this paper we present a new version of the Romanian journalistic treebank annotated with verbal multiword expressions of four types: idioms, light verb constructions, reflexive verbs and inherently adpositional verbs, the last type being recently added to the corpus.
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.
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources
This article presents the current outcomes of the CURLICAT CEF Telecom project, which aims to collect and deeply annotate a set of large corpora from selected domains.
Romanian Language Translation in the RELATE Platform
This paper presents the usage of the RELATE platform for translation tasks involving the 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
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.
Leaving No Stone Unturned When Identifying and Classifying Verbal Multiword Expressions in the Romanian Wordnet
Given the alignment of the Romanian wordnet to the Princeton WordNet, this type of annotation can be further used for drawing comparisons between equivalent verbal literals in various languages, provided that such information is annotated in the wordnets of the respective languages and their wordnets are aligned to Princeton WordNet, and thus to the Romanian wordnet.
Evaluating the Wordnet and CoRoLa-based Word Embedding Vectors for Romanian as Resources in the Task of Microworlds Lexicon Expansion
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.
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.
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.
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).
RELATE: A Modern Processing Platform for Romanian Language
This paper presents the design and evolution of the RELATE platform.
An Open-Domain QA System for e-Governance
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.
Human-Machine Interaction Speech Corpus from the ROBIN project
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.
Collection and Annotation of the Romanian Legal Corpus
We present the Romanian legislative corpus which is a valuable linguistic asset for the development of machine translation systems, especially for under-resourced languages.
The MARCELL Legislative Corpus
This article presents the current outcomes of the MARCELL CEF Telecom project aiming to collect and deeply annotate a large comparable corpus of legal documents.
RACAI's System at PharmaCoNER 2019
This paper describes the Named Entity Recognition system of the Institute for Artificial Intelligence {``}Mihai Dr{\u{a}}g{\u{a}}nescu{''} of the Romanian Academy (RACAI for short).
MoNERo: a Biomedical Gold Standard Corpus for the Romanian Language
In an era when large amounts of data are generated daily in various fields, the biomedical field among others, linguistic resources can be exploited for various tasks of Natural Language Processing.
Hear about Verbal Multiword Expressions in the Bulgarian and the Romanian Wordnets Straight from the Horse's Mouth
The contribution of this work is in outlining essential features of the description and classification of VMWEs and the cross-language comparison at the lexical level, which is essential for the understanding of the need for uniform annotation guidelines and a viable procedure for validation of the annotation.
Adapting the TTL Romanian POS Tagger to the Biomedical Domain
This paper presents the adaptation of the Hidden Markov Models-based TTL part-of-speech tagger to the biomedical domain.
Bootstrapping a Romanian Corpus for Medical Named Entity Recognition
Named Entity Recognition (NER) is an important component of natural language processing (NLP), with applicability in biomedical domain, enabling knowledge-discovery from medical texts.
Medical Named Entity Recognition
named-entity-recognition
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