2018
ACL
ACL 2018
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
Abstract
AbstractWe introduce Baseline: a library for reproducible deep learning research and fast model development for NLP. The library provides easily extensible abstractions and implementations for data loading, model development, training and export of deep learning architectures. It also provides implementations for simple, high-performance, deep learning models for various NLP tasks, against which newly developed models can be compared. Deep learning experiments are hard to reproduce, Baseline provides functionalities to track them. The goal is to allow a researcher to focus on model development, delegating the repetitive tasks to the library.
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Machine Learning
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Keyword Pioneer
— model development
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Optimization & Theory > Optimization
Deep Learning > Architectures > Neural Networks
Deep Learning > Techniques > Model Architecture
Machine Learning > Learning Types > Representation Learning
Deep Learning > Optimization & Theory > Efficient Computing
Artificial Intelligence > Core AI > Natural Language Processing