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20162023
most citedExploring the Use of Text Classification in the Legal Domain

105 citations · 509 across the 48 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019★ 3 cited

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

Mihaela Vela, Santanu Pal, Marcos Zampieri +2

This paper describes strategies to improve an existing web-based computer-aided translation (CAT) tool entitled CATaLog Online. CATaLog Online provides a post-editing environment w…

cs.CL2019

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

Santanu Pal, Marcos Zampieri, Josef van Genabith

In this paper we present the UDS-DFKI system submitted to the Similar Language Translation shared task at WMT 2019. The first edition of this shared task featured data from three p…

cs.CL2019

Experiments in Cuneiform Language Identification

Gustavo Henrique Paetzold, Marcos Zampieri

This paper presents methods to discriminate between languages and dialects written in Cuneiform script, one of the first writing systems in the world. We report the results obtaine…

cs.CL2019★ 37 cited

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

Marcos Zampieri, Shervin Malmasi, Preslav Nakov +3

We present the results and the main findings of SemEval-2019 Task 6 on Identifying and Categorizing Offensive Language in Social Media (OffensEval). The task was based on a new dat…

cs.CL2019

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

Gustavo Henrique Paetzold, Shervin Malmasi, Marcos Zampieri

In this paper we revisit the problem of automatically identifying hate speech in posts from social media. We approach the task using a system based on minimalistic compositional Re…

cs.CL2019

Predicting the Type and Target of Offensive Posts in Social Media

Marcos Zampieri, Shervin Malmasi, Preslav Nakov +3

As offensive content has become pervasive in social media, there has been much research in identifying potentially offensive messages. However, previous work on this topic did not…