Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling

Abstract

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.

Publication
In Annual Meeting of the Association for Computational Linguistics, 2019 (Demo)
Anshuman Suri
Anshuman Suri
PhD Student

My research interests include security and privacy in machine learning.

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