Diego Alves

About Diego Alves

Diego Alves, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Sveucilište u Zagrebu, specializes in the field of Natural Language Processing, Linguistics, Syntax, Typology, Information theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-word Expressions in English Scientific Writing

An evaluation of Portuguese language models’ adaptation to African Portuguese varieties

Computational typological analysis of syntactic structures in European languages

Corpus-based Syntactic Typological Methods for Dependency Parsing Improvement

Analysis of Corpus-based Word-Order Typological Methods

EuLTDom2023–European LT Domains 2023

Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia

Building and Evaluating Universal Named-Entity Recognition English corpus

Diego Alves Information

University

Position

Researcher Faculty of Humanities and Social Sciences

Citations(all)

46

Citations(since 2020)

46

Cited By

9

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

1

i10Index(since 2020)

1

Email

University Profile Page

Google Scholar

Diego Alves Skills & Research Interests

Natural Language Processing

Linguistics

Syntax

Typology

Information theory

Top articles of Diego Alves

Multi-word Expressions in English Scientific Writing

2024/3

An evaluation of Portuguese language models’ adaptation to African Portuguese varieties

2024/3

Computational typological analysis of syntactic structures in European languages

2023/7/3

Corpus-based Syntactic Typological Methods for Dependency Parsing Improvement

2023/5

Analysis of Corpus-based Word-Order Typological Methods

2023/3

EuLTDom2023–European LT Domains 2023

2023

Building Multilingual Corpora for a Complex Named Entity Recognition and Classification Hierarchy using Wikipedia and DBpedia

arXiv preprint arXiv:2212.07429

2022/12/14

Building and Evaluating Universal Named-Entity Recognition English corpus

2021

Quotations, Coreference Resolution, and Sentiment Annotations in Croatian News Articles: An Exploratory Study

2021

Gaurish Thakkar
Gaurish Thakkar

H-Index: 2

Diego Alves
Diego Alves

H-Index: 2

Multilingual Comparative Analysis of Deep-Learning Dependency Parsing Results Using Parallel Corpora

2022/6

Diego Alves
Diego Alves

H-Index: 2

Marko Tadić
Marko Tadić

H-Index: 12

Typological Approach to Improve Dependency Parsing for Croatian Language

2021/12

Diego Alves
Diego Alves

H-Index: 2

Marko Tadić
Marko Tadić

H-Index: 12

Leave-on hair care compositions

2021/3/11

OEKG: The Open Event Knowledge Graph.

arXiv preprint arXiv:2302.14688

2021

The Optimization of Portuguese Named-Entity Recognition and Classification by Combining Local Grammars and Conditional Random Fields Trained with a Parsed Corpus

2021

Diego Alves
Diego Alves

H-Index: 2

Marko Tadić
Marko Tadić

H-Index: 12

COMPOSITION COMPRISING AN ANIONIC SURFACTANT, AN ORGANOSILANE AND POLYOXYALKYLENATED OR QUATERNISED AMINO SILICONE, AND COSMETIC TREATMENT PROCESS

2020/10/15

Hair care composition comprising amino silicone, fatty alcohol and paraffin oil

2020/5/19

Evaluating Language Tools for Fifteen EU-official Under-resourced Languages

2020/10/23

Natural Language Processing Chains Inside a Cross-lingual Event-Centric Knowledge Pipeline for European Union Under-resourced Languages

2020/10/23

Data augmentation for pipeline-based speech translation

2020

Diego Alves
Diego Alves

H-Index: 2

See List of Professors in Diego Alves University(Sveucilište u Zagrebu)