Research Assistant Professor
The Turing Center
Department of Computer Science and Engg
Paul Allen Center, Box 352350
University of Washington
Seattle, Washington, 98195, U.S.A.
Email : mausam AT cs DOT washington DOT edu
Phone : 206-685-1964 (O), 206-979-7038 (C)
I am happy to announce the release of a monograph titled
Planning with Markov Decision Processes: An AI Perspective,
My main research interests are in the field of Artificial
Intelligence. At present I am working on the following projects:
- Open Information Extraction: We hope to overcome the "knowledge-acquisition
bottleneck" by automatically extracting information from natural language text in a
domain-independent manner. We work on improving the quality of
Open IE extractors
by pushing their precision and recall.
A recent paper on this work.
- NLP over Microblogs: Micro-blogging sites such as Twitter have exploded in popularity
in the recent times. Tweets often represent the most up-to-date information and "buzz" on a vast
spectrum of topics, however, their sheer number adds to huge information overload. We recently
released a suite of NLP tools for tweets. We
are currently designing automated information extraction systems over Twitter. A recent paper and a demo of automatically generated calendar of events.
- AI Applications to Crowd-sourcing:
Crowd-sourcing has taken over the business world by storm in the last few years. Although it
is touted as "Artificial Artificial Intelligence", there are huge opportunities for AI to
contribute to its success.
A vision paper describes
our approach to this synergy. We have investigated decision-theoretic techniques to automatically
control workflows on a crowd-sourcing platform such as Amazon's Mechanical Turk,
and have obtained
significant quality improvements for the same price. Recent papers on this work:
Paper 1 and Paper 2.
- Large-scale Probabilistic Planning:
Solving large Markov Decision Processes by combining several optimal
as well as approximate techniques. We hope to alleviate the memory
bottleneck in solving the large MDPs and scale to large, industry
sized probabilistic planning problems. Some recent papers on this work: Paper 1 and Paper
Our planner, Glutton, was runners up in
2011 International Probabilistic Planning competition.
- Commonsense Knowledge Extraction: Automatically creating
corpora of commonsense knowledge based on reasoning over extracted
information from the Web. We are currently building a large repository of
relational n-grams -- a semantic analog to the n-grams corpus.
In the past we automatically learned the selectional preferences and
meta-properties of relations present in natural language text.
A recent demo on
selectional preferences and a recent paper.
A list of my publications can be found here.
My Curriculum Vitae is available here.
A complete list of released softwares, demos and data can be found
At AAAI'12 I co-taught a tutorial on MDPs
for Probabilistic Planning.
In July'12 I co-organized the UW-MSR Summer Institute on Crowdsourcing Personalized
At Planning & Scheduling School'12 I co-taught a tutorial on Probabilistic Planning.
At ICAPS'08 I co-organized a workshop titled A Reality Check for Planning and Scheduling Under Uncertainty.
At ICAPS'07 I co-taught a tutorial on Probabilistic
In my personal time, I can be found listening to, playing, or singing
hindustani classical music. I perform with a local light Indian music
band called Pratidhwani (our last show
Kashish in December 2012).
I was also involved with the local cricket
tournament where I try my fingers at off-spinning. Movies and cooking take up
whatever remaining free time I have.
Here is a website I host that
contains interesting links about hindustani classical music.