Projects
Established:
Bringing out the power of semantics in tabular data Tables are commonly used to organize information, playing a key role in data analytics, scientific research, and business communication. The ability to automatically extract semantics in tables can empower many downstream…
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Neural semantic parsing framework for modular and efficient large scale knowledge base question answering (KBQA). Source code and Data for a system demo at ACL 2021 are available on GitHub. Contributions and collaboration are very welcome!
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The goal of ezPitch is connecting salespersons and customers through relevant news. Why is this important? In the daily work, the sales persons need to search, track and explore the related news about customers before talking to them. For example,…
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The Data2Text project aims to automatically generate fluent and fact-based descriptions or utterances given a data table. Typical business applications for text generation include the generation of financial and sports news stories, the generation of product descriptions, the analysis and…
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While knowledge about entities is a key building block in the mentioned systems, creating effective/efficient models for real-world scenarios remains a challenge (tech/data/real workloads). Based on such needs, we’ve created VERT – a Versatile Entity Recognition & Disambiguation Toolkit. VERT…
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Building a computer system to automatically solve math word problems written in natural language. SigmaDolphin is a project initiated in early 2013 at Microsoft Research Asia, with the primary goal of building a computer intelligent system with natural language understanding…