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>> Will Lewis: I want to welcome you to the second biannual NW-NLP workshop.
We actually made it this year. Two years from now I'm not sure where we'll be.
But I think we have a trend happening now.
So it looks like a very good turnout. I'm Will Lewis. I helped kind of
facilitate this setup here at MSR, but I certainly didn't organize this.
and Luke did the bulk of the work with organizing the workshop.
Gina
So I think most of you have been around here. You kind of know where
everything is. If you need wireless, there's a password up on the wall there.
There's beverages and stuff like that. It's clear where everything is.
I don't want to belabor more of my introduction here. I'd like to turn it over
to the real introduction, Gina and Luke, if you could take over at this point.
One other thing, is Shafiq here?
>> Luke Zettlemoyer: So we really, really -- it's really nice to see the great
turnout for this. And really the goal for today is just to be really informal
and have nice interactions, for everybody to get to know each other. So we
have a program with about seven talks and almost everyone in posters.
And our goal was just to give a sampling of the different kinds of work, so we
balanced across geography and across area, across research area for the
different sessions. And I hope we have a pretty exciting program to look at.
So what we really want to do, especially with this big turnout we have, is just
thank Microsoft, first of all, for having us. [applause]
And thank everybody for coming. And then what we want to do is somehow get
this microphone working, I guess. And we want to go around and do what we're
going to call the lightning blitz of introduction. This is an opportunity
where you can listen to names and then you can go and find the person right
afterwards that you actually want to be talking to. And I hope to be able to
meet everybody here.
So I am Luke Zettlemoyer, in the computer science department at the University
of Washington, and I do research in natural language understanding. And it
would be great if people could say roughly that amount of information about
themselves, because we're going to try to get every single person to talk. If
you have something slightly funny to say, that's fine, too, but not necessary.
And I don't. Gina, do you want to go?
>>: So I'm Gina Laveux [phonetic]. And I'm the person responsible for much of
the e-mail barrage recently. I'm at the University of Washington in the
linguistics department, and particularly in the computational linguistics
masters program. And I work on primarily posity and speech understanding. And
I get to pass the mic.
>>: I'm Crystal Cline.
a cognitive scientist.
I'm in biomedical engineering at OHSU post-doc, and I'm
I'm trying to learn a little bit about linguistics.
>>: We'll go across.
>>: Hi, I'm Steve Frederick also from OHSU and Center for Spoken Language
Understanding and I do text normalization.
>>: I'm Peter Clock. I'm at Vulcan, Inc. downtown working on the
question/answering and textual entitlement.
>>: I'm Jesse Juan. I work with Pete and Danielle in Seattle, Volcanic
Microsoft co-founded company. I'm a software architect. I'm probably the only
one here without a Ph.D. degree.
>>: Some of them are soon to be.
[laughter].
>>: I'm Phil Harrison, also at Vulcan working on the Halo project with Peter
and Jesse.
>>: I'm Richard Shrowd with the Center for Spoken Language Understanding at
OHSU. I do text normalization multi-lingual processing. Guess I'm going to be
moving to Google starting in October.
>>: I'm Masud [inaudible] graduate student [inaudible].
sync conversion system.
I'm working on text
>>: I'm [inaudible]. I'm third year Ph.D. student at Oregon [inaudible]
university and working with Brian Roarke. I'm interested [inaudible] automata
theory and applications in NLP.
>>: Hi, I'm [inaudible]. And I'm in computer science at UBC and I'm interested
in improving human computer communication through language and information
visualization.
>>: Hi, I'm Shafiq [inaudible]. I'm a Ph.D. student working at UBC. I'm
mainly working on discourse parsing for asynchronous conversations like e-mails
and blogs.
>>: Hi, I'm [inaudible]. I'm a master's student at Department of Computer
Science at UBC. And I'm working on visualization of human conversations.
>>: Hi. I'm [inaudible] Ching. I'm also a graduate student at the University
of British Columbia. So I'm in my second year.
>>: My name is [inaudible], and I'm at Biomedical Infomatics at the University
of Washington. My area of interest is clinical natural language processing.
>>: I'm Brian Roarke, Center for Spoken Language Understanding at Oregon Health
and Science University in Portland, work on NLP and speech processing.
>>: Hi. Katie [inaudible] at University of Washington computer science and
engineering. I'm a Ph.D. student. Interested in human computer interaction
and active learning to solve NLP problems.
>>: Hi. I'm Tom [inaudible]. I'm also at Computer Science Department of
University of Washington and I'm working on natural language understanding.
>>: Maria [inaudible], electrical engineering at the University of Washington.
I do speech and language processing and especially stuff at the interface.
>>: Hi. I'm [inaudible]. I'm from Simon Fraser University and working with
Anoop. I work on machine translation.
>>: I'm Max Whitney, also Anoop's student.
for natural language tasks.
And I'm working on bootstrapping
>>: Ann Clifton. I also work with Anoop at Simon Fraser.
machine translation.
>>: I'm [inaudible].
sparsing.
>>: And I'm Anoop.
And I'm doing
I also work with Anoop, and I'm doing dependence
[laughter].
And I try to learn from my students.
>>: Go this way?
>>: Hi my name is [inaudible]. I'm a post-doc in the biomedical infomatics
department at UW. And I work in clinical information extraction.
>>: Allen Ritter, fifth-year Ph.D. student at UW, working on information
extraction and social media.
>>: I'm Kongo. I'm also from the University of Washington.
information extraction and relation extraction stuff.
>>: My name is [inaudible].
learning.
Working on
And I work with Mare on semi-supervised feature
>>: Julie Madeira, electrical engineering, at UW working with Mare on automatic
text simplification.
>>: To keep that trend, I'm Alex also working with Mare in EE at UW working on
multi domain language modeling for speech recognition.
>>: Brian Hutchinson, work with Mare, working on language modeling.
>>: I'm [inaudible].
Working with Mare and speech recognition.
>>: I'm Lee Tang. I'm with MSR in this building. I work on speech
recognition, speech understanding, speech translation, speech information
retrieval.
>>: I'm Michael Kelvin. I work in the speech recognition group here at
Microsoft. And I also teach a course in speech technology at the UW.
>>: Hi. I'm Danielle Braga, program manager at Microsoft, working in speech
technology.
>>: I'm [inaudible].
I'm software engineer for Bing Search as [inaudible].
>>: I'm [inaudible] from New York University.
Work on information extraction.
>>: I'm Mark Yatsker, Ph.D. student at UW, and I work on language grounding.
>>: Rachel Stewart, UW, don't really do anything.
>>: Hi. I'm [inaudible]. Second year master student at University of
Washington. And my interest is in speech recognition and language modeling.
>>: Leanne Ralston, master's student at UW coupling.
speech technology and human/computer interaction.
>>: I'm [inaudible].
Primary interest is in
I work as a software engineer in Bing [inaudible].
>>: Hi, I'm [inaudible] machine learning group here in MSR, and I work on
information extraction and semantic modeling.
>>: My name is Lucy Vanderwindy [phonetic], I'm a researcher here in the
natural language processing department. I primarily work on summarization
information extraction. But I'm also affiliated with the University of
Washington in the biomedical health infomatics where we work on clinical bio
NLP.
>>: Hi. We have a vein of MSR people here. I'm Bill Dolan, manager of NLP
group here at MSR and especially interested in paraphrasing.
>>: I'm Chandler May, and I am implementing various machine learning
applications and cyber analytics at Pacific Northwest National Lab.
>>: I'm Eric Bell from Pacific Northwest National Lab working on social media
harvest extraction.
>>: Liam McGrath from the Pacific Northwest National Laboratory doing
information extraction and other NLP stuff.
>>: Jim White, master's student in the comp link program at UW.
human language acquisition by reading computer programs.
Interested in
>>: I'm Ryan Bellevy. I'm an undergrad in linguistics at the University of
Washington. And I'm just getting introduction to computational linguistics.
>>: I'm Emily Prud'hommeaux, a grad student at the Center for Spoken Language
understanding at OHSU and work on natural language processing and speech
processing.
>>: [inaudible], Ph.D. student at the Center for Spoken Language Understanding,
OHSU, and I'm working on speech recognition.
>>: [inaudible] I'm CLMS student at UW, former Microsoftee, and I'm interested
in information extraction.
>>: Lauren Wong, I'm at UW in the CLMS program.
technology and also clinical NLP.
I'm interested in speech
>>: Megan Galloway also UW CLMS and I'm interested in graduating.
No specialization is what I mean.
>>: Emily Stilgard, student at UW and Salem Mass.
NLP.
[laughter].
And interested in biomedical
>>: David [inaudible] also CMS and biomedical applications of that.
>>: [inaudible] also master's student at the University of Washington. And I'm
interested in the intersection between business intelligence and computational
linguistics.
>>: I'm [inaudible] actually now a visiting Ph.D. student at UW and working on
natural language processing, and currently I'm working on dramatization.
>>: Matt [inaudible] finished up a CLMS program at UW.
multi-lingual dependency parsing.
Thesis research was on
>>: Ed [inaudible] CLMS program and I'm interested in biomedical NLP and
information extraction.
>>: [inaudible] CLMS, University of Washington, interested in a variety of
topics. Mostly the new trends in computational linguistics, information
extraction, sentiment analysis and such.
>>: I'm Spencer Eric. I finished the CLMS program recently.
related to filtering for machine translation.
My thesis was
>>: I'm Nicklaus Fitzgerald. And when I was here two years ago it was as an
undergrad at UBC working with Jucipe, and now I'm a grad student at UW working
with Luke Zettlemoyer. So Northwest NLP worked for me, and I'm working on
grounded language acquisition.
>>: My name is [inaudible]. Grad student in computer science, UW, working with
Luke in their grounded language acquisition and interactive systems.
>>: Facial linguistic, University of Washington, I work on NRP [inaudible]
element and other kind of research topics for launch processing.
>>: I'm [inaudible]. You can call me David. I'm a Ph.D. or from China or
[inaudible] university. I do some network stochastic or dynamic system or
something like that. So the language is many, is my maybe new interest.
>>: Hi. I'm [inaudible] at UW, linguistics department, and my research topics
are multilingual NLP and information language structure.
>>: I'm Ryan Georgy. University of Washington. Work with DeShawn and Lewis
and specialize in kind of multi-lingualism and adapting kind of type logical
computational studies.
>>: I'm Michael Goodman. I'm a Ph.D. student in computational linguistics at
UW, working with Emily Bender. I do work with Gram Engineering resource
creation computation morphology and occasionally machine translation.
>>: I'm Prescott Clawson, Ph.D. student at UW, and I'm interested in tech
summarization and domain adaptation.
>>: I'm Emily Bender, linguistics, University of Washington. I'm the director
of the famous CLMS program. And my research interests are in multi-lingual
grammar engineering with applications including language application.
>>: I'm Christian Monson. I am -- well, two years ago I headed up this
workshop. And now it's great to see everyone here. [applause].
And two years ago I was working with Brian at OHSU in Portland. Now I am here
in Seattle, working at Nuance Communications doing language modeling for speech
recognition. And we're hiring. So any of you graduating Ph.D. or master's
level people please come talk to me. I want to talk to you.
>>: I'm Ethan [inaudible], Center for Spoken Language Understanding at OHSU and
I work on spoken dialogue systems.
>>: I'm Eric Morley, also at Center for Spoken Language Understanding.
natural language processing and text-to-speech.
I do
>>: I'm Aaron [inaudible], also as OHSU and I work mostly on efficient
constituent parsing.
>>: I'm Anthony Stock.
and acoustic modeling.
And I also work at OSHU.
I work on speech processing
>>: Andrew Fowler, ABID, and I work on language models for assistive
technology.
>>: I'm Will Lewis. I'm in machine translation team here at MSR. I also have
worked closely with Fay for a number of years on the database and building
resources for, under resource languages.
>>: Wonderful. Now we all have a challenge. So the challenge is to go
introduce yourself to someone from some geographic location that's not your own
and start talking with them. And if you really are successful at this
language, the next time we come and sit down we'll no longer be clustered by
groups. And that's the ultimate goal here.
The ultimate goal is to start mingling and start interacting with people.
Anything else? So I guess basically what we're going to do now is start that
mingling process. Let me just do a few quick announcements.
So the schedules are all around on the walls. So if you want to check any of
the schedules, please do that. We'll start again at 11:00 with the talks. If
you're in the first poster session, feel free to start putting your posters up
along the walls. You can feel to do it maybe people will come talk to you that
will be exciting.
>>: For launch we're all going to walk enmass to the commons. I call it the
Microsoft Mall. There's tons of food places there. But you have to be with
someone who has a badge to let you into that complex. If you all have guest
badges, you're fine. That's why we created the nametags.
Can I have a show of hands of the Microsoftees in this room who would like to
go to the Commons with a small group as a host? If you could raise your hands.
Okay. My hand's up, too. I'm planning on going to Indian food, by the way,
but I can't take 50 people. So a subset of you are welcome to glom on to me
and we'll walk over. We'll walk in clusters. So raise your hands again,
Microsoftees, okay. So those are the people you want to glom on to.
Okay.
>>: And I think the last thing is just thanks again to Microsoft and all the
people on PC that helped with the review and organization and everything. I
hope we can have a really nice day and a lot of interaction. So enjoy the
coffee and we'll meet again at 11.
[applause]