P19-3021@ACL

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#1 Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling [PDF] [Copy] [Kimi]

Authors: Vighnesh Leonardo Shiv ; Chris Quirk ; Anshuman Suri ; Xiang Gao ; Khuram Shahid ; Nithya Govindarajan ; Yizhe Zhang ; Jianfeng Gao ; Michel Galley ; Chris Brockett ; Tulasi Menon ; Bill Dolan

The Intelligent Conversation Engine: Code and Pre-trained Systems (Microsoft Icecaps) is an upcoming open-source natural language processing repository. Icecaps wraps TensorFlow functionality in a modular component-based architecture, presenting an intuitive and flexible paradigm for constructing sophisticated learning setups. Capabilities include multitask learning between models with shared parameters, upgraded language model decoding features, a range of built-in architectures, and a user-friendly data processing pipeline. The system is targeted toward conversational tasks, exploring diverse response generation, coherence, and knowledge grounding. Icecaps also provides pre-trained conversational models that can be either used directly or loaded for fine-tuning or bootstrapping other models; these models power an online demo of our framework.