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Found 7 papers, 1 papers with code
DeepBlueAI at WANLP-EACL2021 task 2: A Deep Ensemble-based Method for Sarcasm and Sentiment Detection in Arabic
Sarcasm is one of the main challenges for sentiment analysis systems due to using implicit indirect phrasing for expressing opinions, especially in Arabic.
DeepBlueAI at TextGraphs 2021 Shared Task: Treating Multi-Hop Inference Explanation Regeneration as A Ranking Problem
This paper describes the winning system for TextGraphs 2021 shared task: Multi-hop inference explanation regeneration.
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019
Code submissions were executed on hidden tasks, with limited time and computational resources, pushing solutions that get results quickly.
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Neural relation extraction models have shown promising results in recent years; however, the model performance drops dramatically given only a few training samples.
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach
Lexical complexity plays an important role in reading comprehension.
DeepBlueAI at SemEval-2021 Task 7: Detecting and Rating Humor and Offense with Stacking Diverse Language Model-Based Methods
This paper describes the winning system for SemEval-2021 Task 7: Detecting and Rating Humor and Offense.
BERT-based Acronym Disambiguation with Multiple Training Strategies
Acronym disambiguation (AD) task aims to find the correct expansions of an ambiguous ancronym in a given sentence.
