Abstract
We introduce ParlAI (pronounced "par-lay"), an open-source software platform for dialog research implemented in Python, available at this http URL Its goal is to provide a unified framework for sharing, training and testing of dialog models, integration of Amazon Mechanical Turk for data collection, human evaluation, and online/reinforcement learning; and a repository of machine learning models for comparing with others' models, and improving upon existing architectures. Over 20 tasks are supported in the first release, including popular datasets such as SQuAD, bAbI tasks, MCTest, WikiQA, QACNN, QADailyMail, CBT, bAbI Dialog, Ubuntu, OpenSubtitles and VQA. Several models are integrated, including neural models such as memory networks, seq2seq and attentive LSTMs.
Abstract (translated)
我们推出ParlAI（发音为“par-lay”），这是一个用Python实现的对话研究的开源软件平台，可在此http URL获得它的目标是提供一个统一的框架，用于对话模型的共享，培训和测试， Amazon Mechanical Turk用于数据收集，人员评估和在线/强化学习;以及用于与其他模型进行比较的机器学习模型库，并改进现有体系结构。第一版支持超过20种任务，包括SQuAD，bAbI任务，MCTest，WikiQA，QACNN，QADailyMail，CBT，bAbI对话框，Ubuntu，OpenSubtitles和VQA等流行数据集。集成了几个模型，包括神经模型，如内存网络，seq2seq和细心的LSTM。
URL
https://arxiv.org/abs/1705.06476
