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Found 5 papers, 2 papers with code
Auto-KWS 2021 Challenge: Task, Datasets, and Baselines
Auto-KWS 2021 challenge calls for automated machine learning (AutoML) solutions to automate the process of applying machine learning to a customized keyword spotting task.
A Unified One-Step Solution for Aspect Sentiment Quad Prediction
Aspect sentiment quad prediction (ASQP) is a challenging yet significant subtask in aspect-based sentiment analysis as it provides a complete aspect-level sentiment structure.
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions
FairPrep is based on a developer-centered design, and helps data scientists follow best practices in software engineering and machine learning.
Model-Agnostic Meta-Learning for Natural Language Understanding Tasks in Finance
Our contribution includes: 1. we explore the performance of MAML method with multiple types of tasks: GLUE datasets, SNLI, Sci-Tail and Financial PhraseBank; 2. we study the performance of MAML method with multiple single-type tasks: a real scenario stock price prediction problem with twitter text data.
An Empirical Study of Benchmarking Chinese Aspect Sentiment Quad Prediction
Aspect sentiment quad prediction (ASQP) is a critical subtask of aspect-level sentiment analysis.
