2 citations · 5 across the 7 of their papers we have counts for
6 papers · 1 filter
Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia
Diego Alves, Gaurish Thakkar, Gabriel Amaral +2
With the ever-growing popularity of the field of NLP, the demand for datasets in low resourced-languages follows suit. Following a previously established framework, in this paper,…
Quotations, Coreference Resolution, and Sentiment Annotations in Croatian News Articles: An Exploratory Study
Jelena Sarajlić, Gaurish Thakkar, Diego Alves +1
This paper presents a corpus annotated for the task of direct-speech extraction in Croatian. The paper focuses on the annotation of the quotation, co-reference resolution, and sent…
Building and Evaluating Universal Named-Entity Recognition English corpus
Diego Alves, Gaurish Thakkar, Marko Tadić
This article presents the application of the Universal Named Entity framework to generate automatically annotated corpora. By using a workflow that extracts Wikipedia data and meta…
Natural Language Processing Chains Inside a Cross-lingual Event-Centric Knowledge Pipeline for European Union Under-resourced Languages
Diego Alves, Gaurish Thakkar, Marko Tadić
This article presents the strategy for developing a platform containing Language Processing Chains for European Union languages, consisting of Tokenization to Parsing, also includi…
Evaluating Language Tools for Fifteen EU-official Under-resourced Languages
Diego Alves, Gaurish Thakkar, Marko Tadić
This article presents the results of the evaluation campaign of language tools available for fifteen EU-official under-resourced languages. The evaluation was conducted within the…
UNER: Universal Named-Entity RecognitionFramework
Diego Alves, Tin Kuculo, Gabriel Amaral +2
We introduce the Universal Named-Entity Recognition (UNER)framework, a 4-level classification hierarchy, and the methodology that isbeing adopted to create the first multilingual U…