Sogou Machine Reading Comprehension Toolkit

TL;DR

The paper introduces the Sogou Machine Reading Comprehension Toolkit, a comprehensive software suite designed to facilitate the development, training, and deployment of neural network-based machine reading comprehension models.

Contribution

It provides an integrated toolkit with dataset readers, preprocessing, neural components, and models, streamlining the development process for machine comprehension research.

Findings

Enables fast development of comprehension models

Supports both published and original models

Simplifies data and model management

Abstract

Machine reading comprehension have been intensively studied in recent years, and neural network-based models have shown dominant performances. In this paper, we present a Sogou Machine Reading Comprehension (SMRC) toolkit that can be used to provide the fast and efficient development of modern machine comprehension models, including both published models and original prototypes. To achieve this goal, the toolkit provides dataset readers, a flexible preprocessing pipeline, necessary neural network components, and built-in models, which make the whole process of data preparation, model construction, and training easier.