150 citations · 457 across the 69 of their papers we have counts for
6 papers · 2 filters
Overview of GUA-SPA at IberLEF 2023: Guarani-Spanish Code Switching Analysis
Luis Chiruzzo, Marvin Agüero-Torales, Gustavo Giménez-Lugo +4
We present the first shared task for detecting and analyzing code-switching in Guarani and Spanish, GUA-SPA at IberLEF 2023. The challenge consisted of three tasks: identifying the…
OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis
Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka +1
Aspect-based sentiment analysis (ABSA) delves into understanding sentiments specific to distinct elements within a user-generated review. It aims to analyze user-generated reviews…
Positive and Risky Message Assessment for Music Products
Yigeng Zhang, Mahsa Shafaei, Fabio A. González +1
In this work, we introduce a pioneering research challenge: evaluating positive and potentially harmful messages within music products. We initiate by setting a multi-faceted, mult…
Context-aware Adversarial Attack on Named Entity Recognition
Shuguang Chen, Leonardo Neves, Thamar Solorio
In recent years, large pre-trained language models (PLMs) have achieved remarkable performance on many natural language processing benchmarks. Despite their success, prior studies…
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation
Sadat Shahriar, Thamar Solorio
Subjectivity and difference of opinion are key social phenomena, and it is crucial to take these into account in the annotation and detection process of derogatory textual content.…
Distillation of encoder-decoder transformers for sequence labelling
Marco Farina, Duccio Pappadopulo, Anant Gupta +3
Driven by encouraging results on a wide range of tasks, the field of NLP is experiencing an accelerated race to develop bigger language models. This race for bigger models has also…