Philip Resnik's Advisees
For my former advisees, I try indicate what they wound up doing after working with me. However, it's hard to keep up with what everyone does, so please note that information may be missing or out of date.
Current advisees and their research
- Joe Barrow (CS)
Multilingual and contextual semantic representations, deep learning.
- Allyson Ettinger (Linguistics, co-advised with Colin Phillips)
Issues of meaning and representation in computational linguistics and psycholinguistics.
- Han-chin Shing (CS)
NLP and machine learning for clinical and mental health applications.
- Weiwei Yang (CS, co-advised with Jordan Boyd-Graber)
Topic modeling in computational social science.
- Thang Nguyen (CS, co-advised with Jordan Boyd-Graber)
Students awarded the Ph.D. (and where they wound up!)
- Dr. Mona Diab
Mona's 2003 linguistics dissertation, "Word Sense
Disambiguation Within a Multingual Framework", focused on
unsupervised word sense disambiguation using parallel corpora.
After graduation, she did a postdoc working with
Dan Jurafsky at
University of Colorado and Stanford University, and was research faculty
at Columbia University. She was recently promoted to full professor at George Washington University,
and is currently on leave and serving as a Principal Applied Scientist at Amazon AI.
- Dr. Okan Kolak
Okan's 2005 computer science dissertation, "Rapid Resource
Transfer for Natural Language Processing", focused on
development of language technology for low-resource language by
taking advantage of existing resources for well studied languages,
with applications in optical character recognition and parsing.
Now Staff Research Scientist / Technical Lead Manager at Google.
- Dr. Stephan
Stephan was a Senior Software Engineer in the NLP group
at Art Technology Group (ATG), Inc., went on to work in clinical NLP and
machine translation at 3M, and now leads NLP at New Brand Analytics.
His 2007 linguistics dissertation,
Spin: Lexical Semantics, Transitivity, and the Identification of
Implicit Sentiment (short
abstract) focused on the way that the choice of underlying
semantic properties of an event description, reflected in syntactic
structures, sheds light on the speaker's attitudes about the event.
The underlying connection between semantic components and perceived
attitude was established via psycholinguistic experimentation, and
the ideas were then operationalized using an automatic parser and
applied in sentiment classification experiments that demonstrated
significant improvement over the prior state of the art. He went on to be senior NLP engineer at CodeRyte, NLP lead at NewBrand Analytics, and is now a lead engineer at Sprinklr.
- Dr. Adam Lopez.
Adam wrote his 2008 dissertation on
Machine Translation by Pattern Matching, and he also authored an excellent
survey on Statistical Machine Translation
coming out in ACM Computing Surveys 40(3), Sep 2008.
Adam's dissertation breaks new ground in the scalability of statistical MT systems that go
beyond flat phrase-based representations (e.g. hierarchical phrase-based models), by
making it possible to do efficient pattern matching using patterns that contain gaps.
He is now a postdoctoral research fellow working with Philipp
Koehn on statistical machine translation at
the University of Edinburgh,
and started at the Human Language Technology Center of
Excellence at JHU in Fall 2010. He went on to be research faculty at JHU and is now on the faculty at the University of Edinburgh.
- Dr. Yuval Marton.
Yuval's 2009 dissertation, entitled “Fine-Grained Linguistic Soft Constraints on
Statistical Natural Language Processing Models”, focused on using soft
syntactic and semantic constraints in end-to-end state-of-the-art
statistical machine translation systems. He also introduced a novel
distributional paraphrase generation technique based on monolingual
phrase similarity. Yuval went on to be a post-doctoral researcher at the
Columbia University Center for Computational Learning Systems
(CCLS), working with Nizar Habash and Owen Rambow on syntactic parsing,
focusing on Arabic parsing for statistical machine translation; he then worked at IBM and Nuance and is now at Microsoft.
- Dr. Chris
Chris's 2010 dissertation defines a new framework for
modeling ambiguity, with particular application to (but far from
limited to) statistical machine translation. The key idea is to
move from strings to weighted sets when thinking about the inputs,
outputs, and gold-standard references for supervised training in an
NLP pipeline. This turns out to be a really powerful way of looking
at processing, leading to empirical, algorithmic, and even theoretical
(a theorem proved!) contributions. Chris did a postdoc with
Noah Smith at CMU's LTI and was then faculty at CMU; he is now at Google DeepMind in London.
- Chang Hu (PhD student in CS, co-advised with Ben Bederson). Chang's dissertation developed the idea of monolingual translation, using human-computer interaction insights, crowdsourcing, and underlying machine translation technology to create a system in which crowds of monolingual users can help each other to translate text -- in an environment where nobody is assumed to know both the source and target language. Chang is now at Microsoft.
- Dr. Vlad Eidelmann. Vlad's 2013 dissertation advances online discriminative learning methods in machine translation, with applicability to other large scale structured prediction problems. Vlad is now Vice President of Research at FiscalNote.
- Dr. Viet-An Nguyen. An's thesis focused on developing probabilistic topic models for applications in natural language processing and computational social science, with particular application to computational political science. He's now a Data Scientist in the Core Data Science team at Facebook working on computational methods to understand people's online identity and behavior. (Co-advised with Jordan Boyd-Graber)
Former postdocs (and where they wound up!)
- Rebecca Hwa (postdoc, co-advised; PhD, Harvard, 2001)
Learning algorithms for cross-language processing and machine translation.
Now faculty at University of Pittsburgh.
- David Chiang
(postdoc, PhD UPenn, 2004)
Statistical machine translation. Researcher at USC/ISI, now faculty at Notre Dame.
Muresan (postdoc; PhD, Columbia)
Statistical machine translation. Faculty in the
School of Communication and Information at Rutgers, now at Columbia University.
- Jordan Boyd-Graber
(postdoc, PhD Princeton, 2009)
Machine learning. Started as an assistant professor at UMD's
iSchool in Fall 2010, then moved to University of Colorado CS department, now back as faculty at UMD!
- Kristy Hollingshead (postdoc; PhD with Brian Roark at OGI)
Statistical machine translation. NSA; now researcher at Institute for Human & Machine Cognition.
- Hendra Setiawan (postdoc; PhD School of Computing, National University of Singapore )
Statistical machine translation. IBM, then BBN, now R&D scientist and engineer at Apple.
- Junhui Li (postdoc; PhD at Soochow University).
Statistical machine translation. Now faculty at Soochow University.
- Amittai Axelrod (postdoc; PhD with Xiaodong He and Mari Ostendorf at University of Washington)
Machine translation; data selection for machine learning.
- Hadi Amiri (postdoc; PhD with Tat-Seng Chua, National University of Singapore)
NLP, deep learning, and social media analysis. Now a researcher at Harvard in clinical applications.
Other former advisees etc. (and where they wound up!)
- David Alexander (Master's degree in Applied Math)
Effect of topic classification on word sense discriminability.
Now at JHU HLT Center of Excellence.
- Aitziber Atutxa (Master's degree in Linguistics)
semantics/syntax interface. Now an instructor and researcher with
the Ixa Group at the
University of the Basque Country. (publications)
- Clara Cabezas (Master's degree in Linguistics)
Word sense disambiguation.
- Aaron Elkiss (undergraduate)
Linguist's Search Engine. After
completing his undergraduate degree, worked with me at UMD full time on the
Linguist's Search Engine project, the ICDL Communities project, and
statistical machine translation. Then got master's in CS at University
of Michigan, moved on to location-based services at a
"stealth-mode" startup, and is now working in the U Mich library system.
- Ed Kenschaft (Linguistics)
Word sense disambiguation and lexical selection in MT.
- Rafi Khan (undergraduate in CS)
Linguist's Search Engine.
- Greg Marton
(undergraduate in CS).
Various NLP topics. Spent time at the AI Lab at MIT; now at Google
in New York.
- Jesse Metcalf-Burton (undergraduate)
Linguist's Search Engine.
Went on to a Ph.D, in Mathematics at the University of Michigan.
- Mike Nossal (NLP research programmer)
Went on to be a senior NLP developer at CodeRyte, a company applying
language technology to clinical data; now a developer in Seattle.
- Grazia Russo-Lassner (Linguistics)
- Aga Skotowski (Master's degree)
Went on to work in NLP research at Bolt Beranek and Newman (BBN),
- Noah Smith
(undergraduate in Linguistics and CS).
Translation detection and mining the Web for parallel text.
Went on to be a computer science Ph.D. student at Johns Hopkins,
and a Hertz Foundation Fellow, then faculty at CMU, now faculty at University of Washington.
- Jessica Stevens (undergraduate in CS)
Supervised word sense disambiguation.
Now working in NLP research at Bolt Beranek and Newman (BBN).
- Tim Hunter (PhD student in linguistics)
Explored ideas in statistical machine translation. He shifted to
a linguistics dissertation in syntax, did postdocs at Yale and Cornell,
and became an assistant professor at the University of Minnesota; he's now on the faculty at UCLA.
- Tim Hawes (Master's in linguistics)
Sentiment analysis and deliberative discourse (co-advised with Jimmy Lin). Now Scientist / Principal Investigator at Decisive Analytics Corporation.
- Ederlyn Lacson (LSAMP undergraduate in linguistics and CS)
Psycholinguistic methods exploring sentiment analysis. Now at Microsoft.
- Olivia Buzek (undergrad in Linguistics and CS)
Crowdsourcing, paraphrase, and translation. Went on to be a PhD student at Johns Hopkins; now at BBN.
- Eric Hardisty (Master degree in CS)
Computational modeling for sentiment analysis. Now a DoD contractor.
- Yakov Kronrod (PhD student in Linguistics)
Crowdsourcing and translation, MT aspects. Shifted topics and completed his PhD in Linguistics with Naomi Feldman; now on the machine learning team at Amazon.
- Brianna Satinoff (master's degree in CS, co-advised with Jimmy Lin)
Topic modeling and visualization. Now working in clinical NLP at 3M.
- Michael Subotin (PhD student in linguistics, co-advised with Amy Weinberg)
Machine learning and statistical machine translation. Now working on machine learning and NLP at 3M.
- Isaac Julien (Master's degree in CS)
Went on to Epic (electronic medical records), now research engineer at Bose Corporation.
- Peter Enns (PhD student in Linguistics)
Now at Amazon.
- Ke Wu (PhD student in CS)
Now at Google.
- Meir Friedman (CS undergraduate)
Now a PhD student in CS at Cornell.