Marcos Zampieri

research

∙ 05/31/2023

Findings of the VarDial Evaluation Campaign 2023

This report presents the results of the shared tasks organized as part o...

0 Noëmi Aepli, et al. ∙

research

∙ 05/19/2023

Deep Learning Approaches to Lexical Simplification: A Survey

Lexical Simplification (LS) is the task of replacing complex for simpler...

0 Kai North, et al. ∙

research

∙ 03/08/2023

Lexical Complexity Prediction: An Overview

The occurrence of unknown words in texts significantly hinders reading c...

0 Kai North, et al. ∙

research

∙ 03/02/2023

Language Variety Identification with True Labels

Language identification is an important first step in many IR and NLP ap...

0 Marcos Zampieri, et al. ∙

research

∙ 02/06/2023

Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification

We report findings of the TSAR-2022 shared task on multilingual lexical ...

0 Horacio Saggion, et al. ∙

research

∙ 01/29/2023

Vicarious Offense and Noise Audit of Offensive Speech Classifiers

This paper examines social web content moderation from two key perspecti...

0 Tharindu Cyril Weerasooriya, et al. ∙

research

∙ 12/01/2022

SOLD: Sinhala Offensive Language Dataset

The widespread of offensive content online, such as hate speech and cybe...

0 Tharindu Ranasinghe, et al. ∙

research

∙ 11/22/2022

Predicting the Type and Target of Offensive Social Media Posts in Marathi

The presence of offensive language on social media is very common motiva...

0 Marcos Zampieri, et al. ∙

research

∙ 11/18/2022

Overview of the HASOC Subtrack at FIRE 2022: Offensive Language Identification in Marathi

The widespread of offensive content online has become a reason for great...

0 Tharindu Ranasinghe, et al. ∙

research

∙ 09/19/2022

ALEXSIS-PT: A New Resource for Portuguese Lexical Simplification

Lexical simplification (LS) is the task of automatically replacing compl...

0 Kai North, et al. ∙

research

∙ 09/12/2022

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

Even in highly-developed countries, as many as 15-30% of the population ...

0 Sanja Štajner, et al. ∙

research

∙ 09/10/2021

FBERT: A Neural Transformer for Identifying Offensive Content

Transformer-based models such as BERT, XLNET, and XLM-R have achieved st...

0 Diptanu Sarkar, et al. ∙

research

∙ 09/08/2021

Cross-lingual Offensive Language Identification for Low Resource Languages: The Case of Marathi

The widespread presence of offensive language on social media motivated ...

0 Saurabh Gaikwad, et al. ∙

research

∙ 09/01/2021

An Ensemble Approach for Annotating Source Code Identifiers with Part-of-speech Tags

This paper presents an ensemble part-of-speech tagging approach for sour...

0 Christian D. Newman, et al. ∙

research

∙ 07/30/2021

WLV-RIT at GermEval 2021: Multitask Learning with Transformers to Detect Toxic, Engaging, and Fact-Claiming Comments

This paper addresses the identification of toxic, engaging, and fact-cla...

0 Skye Morgan, et al. ∙

research

∙ 06/01/2021

SemEval-2021 Task 1: Lexical Complexity Prediction

This paper presents the results and main findings of SemEval-2021 Task 1...

10 Matthew Shardlow, et al. ∙

research

∙ 05/31/2021

An Exploratory Analysis of the Relation Between Offensive Language and Mental Health

In this paper, we analyze the interplay between the use of offensive lan...

0 Ana-Maria Bucur, et al. ∙

research

∙ 05/18/2021

LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction

This paper describes team LCP-RIT's submission to the SemEval-2021 Task ...

0 Abhinandan Desai, et al. ∙

research

∙ 05/12/2021

Multilingual Offensive Language Identification for Low-resource Languages

Offensive content is pervasive in social media and a reason for concern ...

0 Tharindu Ranasinghe, et al. ∙

research

∙ 04/09/2021

WLV-RIT at SemEval-2021 Task 5: A Neural Transformer Framework for Detecting Toxic Spans

In recent years, the widespread use of social media has led to an increa...

0 Tharindu Ranasinghe, et al. ∙

research

∙ 03/31/2021

Domain-specific MT for Low-resource Languages: The case of Bambara-French

Translating to and from low-resource languages is a challenge for machin...

0 Allahsera Auguste Tapo, et al. ∙

research

∙ 03/09/2021

Comparing Approaches to Dravidian Language Identification

This paper describes the submissions by team HWR to the Dravidian Langua...

0 Tommi Jauhiainen, et al. ∙

research

∙ 02/18/2021

MUDES: Multilingual Detection of Offensive Spans

The interest in offensive content identification in social media has gro...

0 Tharindu Ranasinghe, et al. ∙

research

∙ 02/17/2021

Predicting Lexical Complexity in English Texts

The first step in most text simplification is to predict which words are...

3 Matthew Shardlow, et al. ∙

research

∙ 11/10/2020

Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara

Low-resource languages present unique challenges to (neural) machine tra...

6 Allahsera Auguste Tapo, et al. ∙

research

∙ 11/01/2020

WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments

This paper describes the WLV-RIT entry to the Hate Speech and Offensive ...

0 Tharindu Ranasinghe, et al. ∙

research

∙ 10/11/2020

Multilingual Offensive Language Identification with Cross-lingual Embeddings

Offensive content is pervasive in social media and a reason for concern ...

0 Tharindu Ranasinghe, et al. ∙

research

∙ 06/12/2020

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

We present the results and main findings of SemEval-2020 Task 12 on Mult...

0 Marcos Zampieri, et al. ∙

research

∙ 05/25/2020

MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources

Maintenance record logbooks are an emerging text type in NLP. They typic...

0 Farhad Akhbardeh, et al. ∙

research

∙ 04/29/2020

A Large-Scale Semi-Supervised Dataset for Offensive Language Identification

The use of offensive language is a major problem in social media which h...

0 Sara Rosenthal, et al. ∙

research

∙ 03/31/2020

Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study

We present novel methods for assessing the quality of human-translated a...

0 Michael Leventhal, et al. ∙

research

∙ 03/16/2020

Offensive Language Identification in Greek

As offensive language has become a rising issue for online communities a...

0 Zeses Pitenis, et al. ∙

research

∙ 03/16/2020

CompLex — A New Corpus for Lexical Complexity Predicition from Likert Scale Data

Predicting which words are considered hard to understand for a given tar...

0 Matthew Shardlow, et al. ∙

research

∙ 08/16/2019

Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation

This paper describes strategies to improve an existing web-based compute...

0 Mihaela Vela, et al. ∙

research

∙ 08/16/2019

UDS--DFKI Submission to the WMT2019 Similar Language Translation Shared Task

In this paper we present the UDS-DFKI system submitted to the Similar La...

0 Santanu Pal, et al. ∙

research

∙ 04/27/2019

Experiments in Cuneiform Language Identification

This paper presents methods to discriminate between languages and dialec...

0 Gustavo Henrique Paetzold, et al. ∙

research

∙ 04/16/2019

UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks

In this paper we revisit the problem of automatically identifying hate s...

0 Gustavo Henrique Paetzold, et al. ∙

research

∙ 03/19/2019

SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

This paper presents the results and main findings of the shared task on ...

0 Marcos Zampieri, et al. ∙

research

∙ 02/25/2019

Predicting the Type and Target of Offensive Posts in Social Media

As offensive content has become pervasive in social media, there has bee...

0 Marcos Zampieri, et al. ∙

research

∙ 11/12/2018

Classifying Patent Applications with Ensemble Methods

We present methods for the automatic classification of patent applicatio...

0 Fernando Benites, et al. ∙

research

∙ 08/14/2018

Classifier Ensembles for Dialect and Language Variety Identification

In this paper we present ensemble-based systems for dialect and language...

0 Liviu P. Dinu, et al. ∙

research

∙ 07/09/2018

Discriminating between Indo-Aryan Languages Using SVM Ensembles

In this paper we present a system based on SVM ensembles trained on char...

0 Alina Maria Ciobanu, et al. ∙

research

∙ 07/02/2018

A Neural Approach to Language Variety Translation

In this paper we present the first neural-based machine translation syst...

0 Marta R. Costa-Jussà, et al. ∙

research

∙ 04/30/2018

A Portuguese Native Language Identification Dataset

In this paper we present NLI-PT, the first Portuguese dataset compiled f...

0 Iria del Río, et al. ∙

research

∙ 04/24/2018

A Report on the Complex Word Identification Shared Task 2018

We report the findings of the second Complex Word Identification (CWI) s...

0 Seid Muhie Yimam, et al. ∙

research

∙ 04/22/2018

Automatic Language Identification in Texts: A Survey

Language identification (LI) is the problem of determining the natural l...

0 Tommi Jauhiainen, et al. ∙

research

∙ 03/14/2018

Challenges in Discriminating Profanity from Hate Speech

In this study we approach the problem of distinguishing general profanit...

0 Shervin Malmasi, et al. ∙

research

∙ 02/22/2018

RDF2PT: Generating Brazilian Portuguese Texts from RDF Data

The generation of natural language from Resource Description Framework (...

0 Diego Moussallem, et al. ∙

research

∙ 02/22/2018

LIDIOMS: A Multilingual Linked Idioms Data Set

In this paper, we describe the LIDIOMS data set, a multilingual RDF repr...

0 Diego Moussallem, et al. ∙

research

∙ 12/18/2017

Detecting Hate Speech in Social Media

In this paper we examine methods to detect hate speech in social media, ...

0 Shervin Malmasi, et al. ∙

Marcos Zampieri

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