9 citations · 22 across the 12 of their papers we have counts for
12 papers
M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets
Gaurish Thakkar, Sherzod Hakimov, Marko Tadić
In recent years, multimodal natural language processing, aimed at learning from diverse data types, has garnered significant attention. However, there needs to be more clarity when…
CroSentiNews 2.0: A Sentence-Level News Sentiment Corpus
Gaurish Thakkar, Nives Mikelic Preradović, Marko Tadić
This article presents a sentence-level sentiment dataset for the Croatian news domain. In addition to the 3K annotated texts already present, our dataset contains 14.5K annotated s…
Croatian Film Review Dataset (Cro-FiReDa): A Sentiment Annotated Dataset of Film Reviews
Gaurish Thakkar, Nives Mikelic Preradovic, Marko Tadić
This paper introduces Cro-FiReDa, a sentiment-annotated dataset for Croatian in the domain of movie reviews. The dataset, which contains over 10,000 sentences, has been annotated a…
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…
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…
Multi-task Learning for Cross-Lingual Sentiment Analysis
Gaurish Thakkar, Nives Mikelic Preradovic, Marko Tadic
This paper presents a cross-lingual sentiment analysis of news articles using zero-shot and few-shot learning. The study aims to classify the Croatian news articles with positive,…
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…
Pretraining and Fine-Tuning Strategies for Sentiment Analysis of Latvian Tweets
Gaurish Thakkar, Marcis Pinnis
In this paper, we present various pre-training strategies that aid in im-proving the accuracy of the sentiment classification task. We, at first, pre-trainlanguage representation m…