Title: "Conversation as a Platform: How Machine Learning, Natural Language
Processing, Knowledge Computing Can Contribute?"
Date: September 6 (Tuesday)
Time: 12pm-1:20pm
Place: SAGE 2704

With the availability of personal agents such as Cortana, Siri and Google Now, a
world of humans and machines communicate and solve problems together in natural
language seems not far away. The scene of freely chatting with HAL in “2001: A
Space Odyssey” or Samantha in “Her” could happen to us within our lifetime. 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
first give an overview of how machine learning, natural language processing, and
knowledge computing research are applied in Microsoft’s conversation as a
platform efforts and then use math problem solving as an example to highlight
the challenges ahead.

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.
E-mail: cyl@microsoft.com
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