activity
20202023
most citedOEKG: The Open Event Knowledge Graph

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2023★ 2 cited

OEKG: The Open Event Knowledge Graph

Simon Gottschalk, Endri Kacupaj, Sara Abdollahi +11

Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analy…

cs.CL2022

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,…

cs.CL2022

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…

cs.CL2022

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…

cs.CL2020

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…

cs.CL2020★ 2 cited

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…

cs.CL2020★ 1 cited

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…