Home Conversation as a Platform: How Machine Learning, Artificial Intelligence, and Natural Language Processing Can Contribute?

CCSheaderCCS2016

CCS’16 satellite session “Complexity for History and History for Complexity”

Beurs Van Berlage, Amsterdam, The Netherlands. September 21, 2016

Abstract

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With the availability of personal agents such as Cortana, Siri and Google Now, it seems a world of humans and machines communicate and solve problems together in natural language is not far away. The scene of freely chatting with HAL in “2001: A Space Odyssey” or Samantha in “Her” could happen to us seems within reach. The question is: “Are we ready?”, and if the answer is “no”, then we want to ask: “What are the necessary technologies to make it happen? In this talk, I will give an overview of the machine learning, artificial intelligence, and natural language processing research at Microsoft Research Asia and their applications on conversation as a platform byleveraging big data and human in a loop.

 

Speaker Bio

lin

Dr. Lin is a Principal Researcher and Research Manager of the Knowledge Computing group at Microsoft Research Asia. His research interests are knowledge mining, natural language processing, problem solving, question answering, and automatic summarization. Recently, his main research directions are: (1) developing a knowledge computing framework for real world applications and services including automatic acquisition of semantic knowledge, machine reading for semantic indexing, and automatic understanding of user intents; and (2) developing big social data analytics platform and services – Project Soul. Building on experiences learned from Project Soul, his team is developing technologies to automatically learn social interaction knowledge from large-scale real world online data and transform unstructured and semi-structured web data into structured data to enable semantic computing. The goal is to enable context-aware interactive knowledge-enriched applications powered by intelligent data in the cloud.

He developed automatic evaluation technologies for summarization, QA, and MT. In particular, he created the ROUGE automatic summarization evaluation package. It has become the de facto standard in summarization evaluations. ROUGE has been chosen as the official automatic evaluation package for Document Understanding Conference since 2004.

Before joining Microsoft, he was a senior research scientist at the Information Sciences Institute at University of Southern California (USC/ISI). He was the program co-chair of ACL 2012 and program co-chair of AAAI 2011 AI & the Web Special Track. He is an Action Editor of Transactions of ACL and a member of the Editorial Board of Computational Linguistics.