Search Results for author: Mariana Neves

Found 25 papers, 7 papers with code

Annotationsaurus: A Searchable Directory of Annotation Tools

1 code implementation13 Oct 2020 Mariana Neves, Jurica Seva

We analyzed the tools over a set of 31 features and implemented simple scripts and a Web application that filters the tools based on chosen criteria.

Evaluation of Scientific Elements for Text Similarity in Biomedical Publications

1 code implementation WS 2019 Mariana Neves, Daniel Butzke, Barbara Grune

Rhetorical elements from scientific publications provide a more structured view of the document and allow algorithms to focus on particular parts of the text.

text similarity

Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets

no code implementations WS 2018 Fabian Eckert, Mariana Neves

Question answering (QA) systems usually rely on advanced natural language processing components to precisely understand the questions and extract the answers.

Named Entity Recognition Part-Of-Speech Tagging +3

Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets

no code implementations WS 2018 Mariana Neves, Antonio Jimeno Yepes, Aur{\'e}lie N{\'e}v{\'e}ol, Cristian Grozea, Amy Siu, Madeleine Kittner, Karin Verspoor

Machine translation enables the automatic translation of textual documents between languages and can facilitate access to information only available in a given language for non-speakers of this language, e. g. research results presented in scientific publications.

Machine Translation Translation

RDF2PT: Generating Brazilian Portuguese Texts from RDF Data

1 code implementation LREC 2018 Diego Moussallem, Thiago castro Ferreira, Marcos Zampieri, Maria Claudia Cavalcanti, Geraldo Xexéo, Mariana Neves, Axel-Cyrille Ngonga Ngomo

The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data.

Assessing the performance of Olelo, a real-time biomedical question answering application

no code implementations WS 2017 Mariana Neves, Fabian Eckert, Hendrik Folkerts, Matthias Uflacker

In addition to the BioASQ evaluation, we compared our system to other on-line biomedical QA systems in terms of the response time and the quality of the answers.

Document Summarization Multi-Document Summarization +3

Neural Question Answering at BioASQ 5B

no code implementations WS 2017 Georg Wiese, Dirk Weissenborn, Mariana Neves

We focus on factoid and list question, using an extractive QA model, that is, we restrict our system to output substrings of the provided text snippets.

Question Answering Word Embeddings

Neural Domain Adaptation for Biomedical Question Answering

1 code implementation CONLL 2017 Georg Wiese, Dirk Weissenborn, Mariana Neves

However, these systems have not yet been applied to QA in more specific domains, such as biomedicine, because datasets are generally too small to train a DL system from scratch.

Domain Adaptation Question Answering +2

Entity-Supported Summarization of Biomedical Abstracts

no code implementations WS 2016 Frederik Schulze, Mariana Neves

The increasing amount of biomedical information that is available for researchers and clinicians makes it harder to quickly find the right information.

Document Summarization Multi-Document Summarization +2

The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine

no code implementations LREC 2016 Mariana Neves, Antonio Jimeno Yepes, Aur{\'e}lie N{\'e}v{\'e}ol

We show that for all language pairs, a statistical machine translation system trained on the parallel corpora achieves performance that rivals or exceeds the state of the art in the biomedical domain.

Machine Translation Translation

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