UW/Microsoft Quarterly Symposium in Computational Linguistics

The UW/Microsoft Quarterly Symposium in Computational Linguistics provides a regular opportunity for computational linguists and speech and language technology researchers at the University of Washington and at Microsoft to discuss topics in the field and to connect in a friendly informal atmosphere.

Each symposium features two presentations, one from Microsoft and one from UW. In addition, symposia often include poster sessions and/or demos.

Participating Departments

Upcoming symposia

DateLocationSpeakersTitlesAdditional presentations
10/09/09MSStanley Kok and Chris Brockett
UW CSE and MSR-NLP
Hitting the Right Paraphrases in Good Time 
  Alan Ritter and Colin Cherry
UW CSE and MSR-NLP
Toward the Twuring Test: Conversation Modeling using Twitter 
  Hoifung Poon and Lucy Vanderwende
UW CSE and MSR-NLP
Joint Inference for Knowledge Extraction from Biomedical Literature 

Past symposia

DateLocationSpeakersTitlesAdditional presentations
04/10/09UWVikram Dendi
MS Research
Standing in the User's Shoes - Enhancing the "Perceived Value" of Translation 
  Kevin Duh
UW EE
Semi-supervised learning for Ranking 
01/23/09MSJeremy Kahn
UW Linguistics
Unlexicalizing the comma: an orthographic assist to statistical machine translation 
  Ye-Yi Wang
Microsoft Research
Voice search of structured media data 
11/14/08UWMeliha Yetisgen Yildiz
UW iSchool and Kiha Inc.
Finding the Meaning of Medical Concept Correlations 
  Jian-Yun Nie
University of Montreal
Machine translation and cross-language information retrieval 
06/06/08MicrosoftDouglas Downey
UW CSE
Autonomous Web-scale Information ExtractionPosters
  Chris Quirk
Microsoft Research
Models for Comparable Corpus Fragment Alignment 
02/15/08UWAmar Subramanya
Jeff Bilmes
UW EE
Training Speech Recognizers with Uncertain Word BoundariesPosters
  Colin Cherry
Microsoft Research - NLP Group
Cohesive Phrase-based Decoding for Statistical Machine Translation 
11/02/07MicrosoftHoifung Poon
Pedro Domingos
UW CSE
Joint Inference in Information Extraction 
  Andreas Bode
Anthony Aue
Microsoft MT Incubation Team - NLP Group
From Research to Production - Issues & Lessons Learned 
4/20/07UWJianfeng Gao
Microsoft Research
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing 
  Marcus Sammer
UW Turing Center
Panlingual Lexical Translation 
2/16/07UWEfthimis N. Efthimiadis
David G. Hendry
Chong-Ki Tsang
UW Information School
Experiments in Query Expansion 
  Hisami Suzuki
Kristina Toutanova
Microsoft Research
Generating Morphologically Rich Languages in MT 
10/20/06MicrosoftFei Xia
William Lewis
Dan Jinguji
UW Linguistics
Towards automatic enrichment and analysis of linguistic data for low-density languagesPosters
  Mark Johnson
MSR and Brown University
Features of Reranking Parsers 
4/7/06UWSimon Corston-Oliver
Anthony Aue
Microsoft Research
Multilingual Dependency Parsing using Bayes Point Machines 
  Michael J. Cafarella
Oren Etzioni
UW CSE
A Search Engine for Natural Language Applications 
2/3/06MicrosoftWilliam Lewis
UW Linguistics
Locating, Recognizing, and Converting Interlinear Text on the WebDemos
  Manuela Noske
Windows Localizations Group
Unsupervised Acquisition of Ateso Morphology 
10/28/05UWKenneth W. Church
Machine Learning and Applied Statistics Group MSR
Ping Li
Statistics Department, Stanford University
Using Sketches to Estimate Associations 
  Mari Ostendorf+, Jeremy G. Kahn*, and Dustin Hillard+
+UW EE, *UW Linguistics
Spontaneous Speech: Challenges and Opportunities for Parsing 
4/22/05MicrosoftKatrin Kirchhoff
UW EE
Feature-Based Word Representations for Natural Language Processing
Posters
  Eric Ringger
NLP Group, Microsoft Research
The Role of Linguistics in Feature Engineering for Machine Learning in Natural Language Processing
 
1/28/05MicrosoftJeff Bilmes and Karim Filali
UW EE
Graphical Models and Machine Translation
Demos
  Chris Quirk
MS Natural Language Processing Group
Toward Syntactically Informed Statistical Machine Translation 
10/22/05UWOren Etzioni
UW CSE
Web-scale Information Extraction in KnowItAll (Preliminary Results)Posters
  Mike Calcagno
Microsoft Natural Language Group
Extracting and Exploiting Type Information in Search-Related Scenarios 
3/12/04MicrosoftMari Ostendorf
UW EE
Web-based Corpora: Modeling Language vs. Gathering CountsDemos
  Thierry Fontenelle
Microsoft Natural Language Group
A large bilingual lexical resource for word sense disambiguation 
1/23/04UWRobert Moore
Microsoft
Two Paradigms for Natural Language Processing 
  Lesley Carmichael
UW Linguistics
Prosodic Fortification in Error Resolution 
10/24/03UWAndrea Jesse
Microsoft Natural Language Group
Grammar Checking in Microsoft Office XP 
  Emily M. Bender
UW Linguistics
Grammar Checking in the Arboretum: Finding and Curing Trees 

Last updated: 10/18/07