`
`Curriculum Vitae
`JAMES F. ALLEN
`June 2018
`
`
`Birth: March 25, 1950, London, England
`Citizenship: U.S.
`Marital Status: Married
`EDUCATION:
`B.Sc., Computer Science (with honors), University of Toronto, 1973
`M.Sc., Computer Science, University of Toronto, 1974
`Ph.D., Computer Science, University of Toronto, 1979
`HONORS:
`Presidential Young Investigator Award, 1984-1989
`Who's Who in America
`Elected as Founding AAAI Fellow, 1990
`Curtis Award for Excellence in Graduate Teaching, U. Rochester, 1997
`Best Demonstration, Mtg of North American Assoc. for Computational Linguistics (NAACL), 2007
`Best Paper, National Conference on Artificial Intelligence (AAAI), 2007
`7th most cited paper in Journal of Artificial Intelligence, 6th in the Communications of the ACM, 3rd
`in Journal of Logic and Computation, 4th in International Journal of Intelligent Systems, and
`25th in Proc. Association for the Advancement of Artificial Intelligence [Google Scholar, 2014]
`Patent: US 20090119587 Interactive complex task teaching system
`PROFESSIONAL EXPERIENCE:
`From
`To
`Position
`2012
`2013
`Scientific Advisory Board, Vulcan/Allen Institute for Artificial Intelligence
`2006
`Present Associate Director, Florida Institute for Human and Machine Cognition
`1992
`Present
`John H. Dessauer Professor of Computer Science, U. Rochester
`
`2007
`Arrangements Chair, Pathways to a Sustainable World, Rochester, NY
`
`2007
`Local Arrangements Chair, North American Assoc. for Computational Linguistics
`(NAACL), Rochester, NY 2007
`Editorial Board (for Natural Language Processing), AI Magazine
`Pace Eminent Scholar, Institute for Human and Machine Cognition, University of West
`Florida
`Advisory Committee, Computer and Information Science and Engineering Directorate,
`National Science Foundation
`Advisory Committee, Environmental Research and Education, National Science Foundation
`General Chair, 6th Int'l Workshop on Temporal Rep. and reasoning (TIME-99)
`General Chair, 4th Int'l. Conference on AI Planning Systems, Pittsburgh
`Co-Director, Center for Sciences of Language, University of Rochester
`Director, Cognitive Science Program, University of Rochester
`Editor-in-Chief, Computational Linguistics
`
`2002
`
`
`1998
`1996
`1993
`
`2000
`2002
`
`2007
`2005
`
`1999
`
`2002
`
`1999
`1999
`1998
`1996
`1992
`1983
`
`James Allen - CV - 1
`
`APPLE 1004
`
`1
`
`

`

`
`
`1987
`1991
`1987
`1984
`1978
`
`1992
`
`1990
`1987
`1984
`
`Professor of Computer Science, U. Rochester
`General Chair, 2nd Int'l. Conf. on Principles of Knowledge Representation and Reasoning
`Chairman of Computer Science, University of Rochester
`Associate Professor of Computer Science, University of Rochester
`Assistant Professor of Computer Science, University of Rochester
`
`
`
`
`
`DOCTORAL DISSERTATIONS SUPERVISED:
`
`
`Year Name
`2017 Nasrin
`Mostafazadeh
`2017 Omid Bahkshandeh Language learning through comparison Formed his own startup
`
`Thesis Title
`From event to story understanding
`
`Current Position
`Research Scientist, Elemental Cognition
`
`Perceptual Symbol Grounding Through
`Natural Language Interaction and
`Learning
`Crowd Agents: Interactive Intelligent
`Systems Powered by the Crowd
`Dealing with Quantifier Scope
`Ambiguity in Natural Language
`Understanding
`2012 Naushad UzZaman Interpreting the Temporal Aspects of
`Language
`Task Model Reasoning
`Philip Michalak
`2011
`
`
`2011 Carlos Gomez Gallo Incremental Planning Across and Within Post-doc, University of Miami
`Clauses
`Natural vs Standardized Approaches to
`Spoken System Design
`Statistical Plan Recognition
`Empirical Evaluations of Pronoun
`Resolution
`A practical Semantic Representation for
`Natural Language Parsing
`Hierarchical Language Modeling for
`Speech Recognition
`Resolving Pronominal Reference to
`Abstract Entities
`Dialogue Systems as Conversational
`Partners
`Error Correction Methods for Robust
`Speech Recognition
`
`Research Scientist, Institute for Human
`and Machine Cognition
`
`Faculty, University of Michigan
`
`Research Scientist, Google Research
`
`Research Scientist, Nuance
`
`Research Scientist, Apixio
`
`Research Scientist, Nuance
`Research Scientist, Nuance
`
`Research Scientist, University of
`Edinburgh
`Research Scientist, Institute for Human
`and Machine Cognition
`Research Scientist, IBM
`
`Research Scientist, AT&T Research
`
`Assoc. Prof., Brigham Young University
`
`2016
`
`Ian Perera
`
`2015 Walter Lasecki
`
`2013 Mehdi Manshadi
`
`2008
`
`Ellen Campana
`
`2006 Nate Blaylock
`2004
`Joel Tetreault
`
`2004 Myroslava
`Dzikovska
`Lucian Galescu
`
`2003
`
`2002 Donna Byron
`
`2001 Amanda Stent
`
`2000
`
`Eric Ringger
`
`Allen - CV - 2
`
`2
`
`

`

`
`
`1997
`
`Lou Hoebel
`
`1997
`
`Peter Heeman
`
`A Practical Temporal Reasoning System Research Scientist, General Electric R &
`D
`Speech Repairs, Intonational Boundaries
`Assoc. Professor, Dept. Computer
`and Discourse Markers: Modeling
`Science, Oregon Graduate Institute
`Speakers' Utterances in Spoken Dialog
`
`1995 David Traum
`
`Research Scientist, ICT-USC
`
`A computational theory of grounding in
`natural language conversation
`1995 George Ferguson Knowledge representation and reasoning Research Scientist, University of
`
`for mixed-initiative planning
`Rochester
`Applying statistical inference to
`Research Scientist, Xerox Research
`planning under uncertainty
`Center
`Elizabeth Hinkelman A plan-based theory of conversational
`TASC
`implicature
`Johannes Koomen Reasoning about recurrence
`Jay Weber
`Principles and algorithms for causal
`reasoning
`A formal logic for planning with
`concurrent actions and external events
`A formal theory of plan recognition
`
`1994 Nat Martin
`
`1989
`
`1989
`1989
`
`1988 Richard Pelavin
`
`1987 Henry Kautz
`
`1986 Alan Frisch
`
`1985 Diane Litman
`1985 Gary Cottrell
`
`1983 Mark Kahrs
`
`1982 Andrew Haas
`
`1981 Donald Perlis
`
`SUNY Geneseo
`CTO, Manyone Networks
`
`Cisco Systems
`
`Professor and Chair University of
`Rochester
`
`Knowledge retrieval as limited inference Professor, University of York
`
`
`on specialized representations
`Plan recognition and discourse analysis Professor, University of Pittsburgh
`A connectionist scheme for modeling
`Professor, UCSD
`human language processing
`Silicon compilation of very high level
`languages
`Mental states and mental actions in
`planning
`Language, computation, and reality
`
`
`
`Professor, SUNY Albany
`
`Professor, University of Maryland
`
`
`
`
`
`INVITED LECTURES SINCE 1990 (K=keynote, D=distinguished lecture, P=invited plenary,
`I=invited)
`2018 I Spatial Language Understanding
`
`1st Intl Workshop on Spatial Language Understanding
`
`2017 I Events in Language and Reasoning
`
`EventStory Workshop, ACL 2017, Vancouver, CA
`
`
`
`
`
`K Dialog as Collaborative Problem
`Solving
`K Deep Language Understanding
`
`Keynote address. INTERSPEECH, Stockholm, Sweden
`
`30th Mtg of Florida AI Society, Marco Island, FL
`
`2014
`
`Deep Language Understanding
`
`Google Tech Talks, Google, Mountain View, CA
`
`Allen - CV - 3
`
`3
`
`

`

`
`
`2012
`
`2011
`
`Deep Language Understanding
`
`Michigan State Distinguished Speakers in Cognitive
`Science Lecture
`Common ground: What are We doing? AAAI Symposium on Common Ground, Arlington, VA
`
`
`
`2010 K A New Era for Natural Language
`Processing
`I Learning by Deep Language
`Understanding
`2009 I Intentions in Dialogue
`
`I Dialogue as Collaborative Problem
`Solving
`D Deep Language Understanding
`
`SpeechTek, New York, New York
`
`DARPA Kick-off Meeting on Machine Reading. St.
`Petersburg, FL
`Workshop on Situated Intention, University of
`Pennsylvania, Philadelphia, PA
`Workshop on Unified Theories of Language and
`Cognition, RPI, Troy, NY
`DARPA Distinguished Lecture Series, Washington, DC
`
`I Defining Locality
`
`I Deep Language Understanding
`
`1st Intl. Conf. On Computational Sustainability, Ithaca,
`NY
`Dept. Of Computer Science, Northwestern, Chicago, IL
`
`
`
`
`
`
`
`
`
`2008 K Dialogue as Collaborative Problem
`Solving
`I PLOW: A Collaborative Task learning
`Agent
`Distinguished Lecture Series, Dept. Of Computer
`D Language as Collaborative Problem
`Science and Engineering, University of Minnesota.
`Solving
`I A Collaborative Task Learning Agent Shannon AT&T Labs, New Jersey
`
`
`
`
`
`
`
`Fourth International Workshop on Human-Computer
`Conversation, Bellagio, Italy
`Microsoft Research, Redmond, WA.
`
`
`
`I A Collaborative Task Learning Agent
`
`Information Science Colloquium, Cornell University.
`
`Workshop on Acquiring Planning Knowledge from
`2007 I PLOW: one-shot learning from
`Demonstration, AAAI-07, Vancouver, BC
`demonstration and dialogue
`2006 K “Portable Spoken Dialogue Systems” 22nd annual conference of the SEPLN - Sociedad
`Española de Procesamiento del Lenguaje Natural,
`Zaragoza, Spain, September
`Brandial Conference, Potsdam, Germany, September
`
`
`
`K “A Robust Dialogue Agent for
`Collaborative Problem Solving”
`2005 P “Towards Robust Agent-based
`Dialogue Systems”
`D Spoken Dialogue as Collaborative
`Problem Solving”
`K “Taking Humans Seriously in
`Supporting Decision Making in a
`Complex Changing World”
`2004 K “Towards Portable Spoken Dialogue
`Systems”
`I “Collaborative Problem Solving Model
`of Dialogue”
`
`
`
`
`
`
`
`IEEE Automatic Speech Recognition and Understanding
`Workshop, Puerto Rico, December
`Foundations of Cognitive Science seminar series, Ohio
`state University, April
`AAAI Spring Symposium on Challenges to Decision
`Support in a Changing World, Stanford University,
`March
` IBERAMIA, Puebla, MX, November
`
`IIMAS, UNAM, Mexico City, November
`
`Allen - CV - 4
`
`4
`
`

`

`
`
`
`
`U. of Bologna, Italy, February
`
`LISP Users Conference, New York City, October
`
`I “A Framework for Human Machine
`Collaboration”
`2003 P “Towards Conversational Human-
`Machine interaction”
`I “Key Issues in Dialogue Processing”
`
`
`
`
`
`
`
`2001 K “Towards Conversational Human-
`Machine interaction”
`K “Towards Robust, Real-time, Deep
`Understanding,
`I “A Dialogue Model based on
`Collaborative Problem Solving”
`I “Towards Robust, Real-time “Deep”
`Understanding”
`I “Spoken Language Systems and
`Human Communication”
`
`
`
`
`
`
`
`2000 P “Spoken Language Systems and
`Human Communication”
`I “Dialogue and Problem Solving”
`
`
`
`
`
`
`
`
`
`I "Conversational Agents"
`
` North American Association for Computational
`Linguistics, Edmonton, AL
`15th Annual Conf. of the Florida Artificial Intelligence
`2002 P “Towards a generic Spoken Dialogue
`Research Society (FLAIRS), Pensacola, FL, May
`System”
`K “Scalable Spoken Dialogue Systems” Workshop on Scalable Natural language Understanding
`Systems, Heidelberg, Germany
`The Annual Conference on Intelligent User Interfaces,
`Santa Fe, NM
`4th Workshop on Computational Semantics, Tilburg, The
`Netherlands, January
`Dept. of Computational Linguistics, University
`Saarlands, Saarbrucken, Germany, December
`Dept. of Computer Science, Northwestern University,
`April
`Institute for Human and Machine Cognition, Pensacola,
`FL, March
`Cognitive Science Lecture Series, Northwestern
`University, April
`University of Mexico (UNAM), Mexico City. Also
`televised on Mexican Educational TV, December
`2nd workshop on Inference in Computational Semantics
`(ICoS-2), Dagstuhl, Germany, July
`
`K “Spoken Dialogue Systems and Human The Annual Meeting of the Cognitive Science Society,
`Communication”
`University of Pennsylvania, August
`1999 I "Dialogue Systems for Call Centers" Microelectronics and Computer Corporation (MCC),
`Austin, TX, May
`I "Enabling Human-Machine Dialog" Dept. of Computing Science, University of Mexico,
`Mexico City
`University of Pennsylvania Cognitive Science
`Colloquium, January
`Dept. Computer Science, Technical University of
`Monterey (ITESM), Cuernavaca, Mexico, April
` Dept. of Computer Science, New Technical University,
`Lisboa, Portugal, May
`Fifth Int'l Workshop on Temporal Representation and
`reasoning (TIME-98), Sanibel Island, FL
`IBERAMIA-98:, Lisbon, Portugal, October
`
`
`
`1998 K "Temporal Reasoning and Plan
`Management"
`K "Human-Computer Collaborative
`Planning"
`I "Dialogue Systems for Interactive
`Problem Solving",
`I "Conversational Planning Agents"
`
`
`
`
`
`MIT Spoken Language Systems Group Seminar,
`October
`University Buffalo Cognitive Science Colloquium,
`January
`
`Allen - CV - 5
`
`5
`
`

`

`
`
`
`
`
`
`P "Natural Language and Knowledge
`Representation,"
`"Conversational Planning
`Agents"
`1997 K "AI Growing Up"
`
`I
`
`I "The DAMSL Discourse Coding
`Scheme,"
`
`Annual Meeting of the Association of Computational
`Linguistics, Vancouver, BC, June
`University Buffalo Cognitive Science
`Colloquium, January,
`14th National Conf. on Artificial Intelligence (AAAI-97),
`Providence, RI, July
`Workshop on Standards for Dialogue Coding in Natural
`Language Processing, Dagstuhl, Germany, February
`
`I "TRAINS: A Conversational Agent” Cognitive Science Colloquium, Cornell U., March
`
`I "Language Models for Speech
`Recognition”
`I "Discourse Annotation Standards"
`
`Lovejoy Symposium for Applications of Speech
`Recognition for the Deaf, RIT, Rochester, NY, April,
`Daghstul Workshop, Germany, February
`
`
`
`
`
`
`
`
`
`
`
`
`
`I "Dialogue Models for Spoken
`Language Systems”
`
`I "Spoken Dialogue Systems"
`
`1996 I "Natural Language and Knowledge
`Representation,"
`
`
`
`I "The TRAINS Project”
`
`1995 D "Conversational Planning Agents”
`
`
`
`
`
`
`
`
`
`
`
`
`
`K "Conversational Planning Agents”
`
`D "The TRAINS Project: Dialogue-based
`Human Computer Interaction,"
`I "Spoken Dialogue and Interactive
`Planning,"
`I "Mixed Initiative Planning”
`
`I "A Dialogue-Based Tactical Picture
`Agent"
`I "Spoken Language Understanding"
`
`1994 K "A Temporal Logic for Reasoning about
`Actions, Events and Plans"
`D "The TRAINS System"
`
`
`
`
`
`D "Reasoning about Actions, Events, and
`Plans"
`
`1993 I
`
`"Planning Communication,"
`
`Workshop on Speech and Natural Language, 34th
`Annual Meeting of the Association for Computational
`Linguistics, Madrid, Spain, July
`Oregon Graduate Institute, Portland, OR, August
`Rome Lab Info 2000 Workshop, Rome, NY, October
`AAAI Fall Symposium on Knowledge Representation
`Systems Based on Natural Language, MIT, Cambridge,
`MA, November
`Artificial Intelligence Colloquium, U. Maryland,
`December
`U. Washington, Washington, October
`
`Reunion Nacional de Inteligencia Artificial, Cuernavaca,
`Mexico, September
`Distinguished Lecturer Series, U. CA/San Diego, March
`
`ARPA Spoken Language Technologies Workshop,
`Austin, TX, January
`Rome Lab/ARPA Planning Initiative Meeting, San
`Diego, CA
`ONR Tactical Picture Agent Workshop, Washington,
`DC, August
`IEEE Automated Speech Recognition Workshop, Snowbird,
`UT, December
`1st Int'l. Conf. on Temporal Logic, Bonn, Germany, July
`
`Lecture Series on Knowledge Representation, University of
`York, UK, May
`University Saarlandes, Saarbrucken, Germany, July
`University of Leeds, UK, May
`
`Rome Laboratory/DARPA Planning Workshop, San
`Antonio, TX, February
`
`Allen - CV - 6
`
`6
`
`

`

`
`
`
`
`
`
`
`
`
`
`I
`
`I
`
`"Tutorial on Natural Language
`Processing"
`"Prosody and Dialog"
`
`Dual-Use Conference, Utica, NY, May 1
`
`Prosody Workshop, Columbus, OH, June
`
`1992 I "Getting Serious about Simultaneous
`Actions and External Events"
`I "Temporal Reasoning and Planning"
`
`
`
`
`
`D “The TRAINS System”
`
`
`
`I
`
`"The Need of Prosodic
`Information in
`Computational Models”
`1991 P "Plan-Based Models of Dialog: The
`TRAINS System"
`
`I
`
`I
`
`I
`
`I
`
`
`
`
`
`
`
`
`
`
`
`"The TRAINS Project"
`
`"Reasoning About Plans”
`
`“Planning as Temporal
`Reasoning”
`"Discourse Processing in the
`TRAINS System”
`
`
`
`1st Int'l. Conf. on AI Planning Systems, U. Maryland, June
`
`a week long series of lectures, Universita degli Studi de
`Trento, Trento, Italy, July
`Johns Hopkins U., April; U. Toronto, April; Pittsburgh,
`November
`NYNEX Science & Technology, White Plains, NY,
`April
`
`The Third Int'l. Forum on the Frontier of Telecommunications
`Technology, Tokyo, Japan
`The Int'l. Symposium on Advanced Telecommunications
`Technology/Kansai, Kobe, Japan
`Workshop on Language and Communication, Italy, November;
`Navy Research Lab, Washington, DC, July; St. Louis, MO,
`September.
`SUNY Albany, NY, January; Rome, NY, March;
`
`Rome Labs, Rome, NY, May
`
`Harvard, December; IEEE Workshop on Automatic Speech
`Recognition, Harriman, NY, December
`
`Allen - CV - 7
`
`7
`
`

`

`
`
`Title
`
`MAJOR GRANT SUPPORT (Principal Investigator grants only)
`
`
`Funding
`Agency
`DARPA
`
`NSF
`ONR
`DARPA
`
`AFRL
`ONR
`
`USAF/Rom
`e Lab
`NSF
`NSF
`NSF (sub.
`Columbia)
`ONR
`
`Amount
`
`Date
`
`$7,500,000 7/15-6/20
`
`$3,000,000 7/14-12/17
`$600,000
`4/12-4/15
`$1,500,000 1/12-1/17
`$300,000
`2/12-12/12
`$50,000
`6/11-5/12
`
`11/10-1/12
`$500,000
`$1,500,000 9/10 - 8/14
`$1,500,000 7/10 - 6/13
`
`4/09-3/10
`$340,000
`1/09-1/10
`$250,000
`1/08-12/09
`$185,000
`5/07-5/09
`$418,400
`$1,300,000 5/06-4/11
`$375,000
`6/05-5/08
`$5,000,000 5/03-1/09
`$750,000
`9/03-8/07
`$1,021,336 6/06-5/07
`
`9/03-8/06
`$492,000
`6/01 – 8/04
`$320,000
`$2,300,000 5/98 – 8/04
`
`$125,000
`$305,459
`
`5/03-4/04
`6/98-5/01
`
`$126,526
`
`9/97 – 8/00
`
`$106,928
`$580,839
`$238,060
`
`9/97 – 8/00
`6/96 – 5/99
`5/96 –4/99
`
`$505,639
`
`6/95 – 5/98
`
`Communication with a Learning Collaborative
`Problem Solving Agent
`DARPA
`Deep Reading to Understand Mechanisms
`Grounding and Learning in Human Robot Interaction ONR
`Deep Language Learning
`DARPA
`Learning by Reading
`DARPA
`Mobile Phone-Based Asthma Self-Management Aid
`Provost
`(ASMA) System for Adolescents
`Award
`Extensive Collaboration for Mission Planning
`DARPA
`Computing with Natural Language
`ONR
`Integrated Teaching and Learning in a Collaborative
`NSF
`Assistant
`DARPA
`Justification for Objectives
`DARPA
`Semantically Enabled Network Search
`NSF
`Integrating Language & Acting
`Feasibility of Conversation Systems for Patient Care NIH
`Evaluating Integrated Learning Systems
`DARPA
`Rapidly Customizable Dialogue Systems
`ONR
`Enduring Cognitive Personal Assistant
`DARPA
`Continuous Understanding
`NSF
`Team Performance & Optimization in Human-Agent
`ARL
`Collaboration
`Effective Intention Recognition
`Portable Dialogue Systems
`Agent-based Architectures for Dynamic Crisis
`Management
`Tools for Improving Air Mission Planning
`A Conversational Agent Architecture for Human-
`Computer Collaborative Problem Solving
`An Interactive Assistant for Decision Making
`
`Developing Domain-Independent Dialog Model
`Parsing Spontaneous Dialogue
`CARD: Corpus Analysis Resources for Discourse
`
`A Dialogue-Based Architecture for a Tactical Picture
`Agent
`A Dialog-Based Approach to Mixed-Initiative Plan
`Management
`
`ARPA
`
`$948,946
`
`2/95 – 3/98
`
`Allen - CV - 8
`
`8
`
`

`

`
`
`Natural Language Dialog for Intelligent Planning
`Applications
`Plan-Based Situation Assessment
`Plan-Based Knowledge Representation for Man-
`Machine Dialogs
`Plan-Based Models of Discourse
`Knowledge Representation
`Knowledge Representation Issues in Supporting
`Natural Language Dialogues
`Plan-Based Approaches to Extended Dialogues
`Temporal World Models for Problem Solving
`Basic Research in Representing Plans Arising in
`Natural Language Dialogues (Presidential Young
`Investigator Award)
`Time-Oriented Problem Solving
`A General Reasoning System with Temporally
`Qualified Facts
`Extended User-System Dialogues for Complex
`Information Retrieval
`Recognizing Intent in Natural Language
`
`$1,115,807 4/92 – 12/95
`
`ARPA/ON
`R
`Rome Lab $1,250,000 1/91 – 1/96
`ONR
`$305,669
`10/90 – 9/93
`
`NSF
`GE
`ONR
`
` NSF,
`NSF
` NSF
`
`$122,127
`$35,000
`$620,000
`
`$201,277
`$73,976
`$160,000
`
`9/90-9/92
`12/88-6/89
`1/85-4/90
`
`7/85-6/88
`7/85-6/87
`7/84-6/89
`
`RADC
`RADC
`
`$771,409
`$42,300
`
`11/84-9/89
`2/84-9/84
`
`NSF
`
`NSF
`
`$199,930
`
`9/82-8/84
`
`$80,000
`
`9/80-8/82
`
`
`
`
`
`
`PUBLICATIONS
`Books
`Natural Language Understanding, Second Edition. Prentice-Hall, 1995.
`Natural Language Understanding. Menlo Park, CA: Benjamin Cummings Publishing, 1987
`Readings in Planning, J.Allen, A. Tate & J. Hendler (eds.), Morgan Kaufmann, 1990.
`Formal Models of Reasoning About Plans (with J. Tenenberg, R. Pelavin, and H. Kautz), Morgan
`Kaufmann, 1991.
`
`
`Journals and Refereed Conference Papers
`Allen, J. and Teng, C.M. Putting Semantics in Semantic Roles, *SEM 2018, New Orleans.
`Allen, J. et al, (2018) Effective Broad-coverage Deep Paring, Proc. AAAI 2018, New Orleans.
`Allen, J. and C. M. Teng (2017), Broad-coverage Domain-generic Deep Semantic Parsing, Proc.
`AAAI Spring Symposium.
`Orfan, J. and J. Allen (2017) , Identifying Underlying Commonsense Knowledge in Definitions,
`Proc. FLAIRS, May.
`Bakhshandeh, O., and J. Allen (2016) Towards Broad-coveage Meaning Representation: The Case
`of Comparison Structures, Proc. Workshop on Uphill Battles in Language processing, ACL,
`Austin, TX
`
`Allen - CV - 9
`
`9
`
`

`

`
`
`Mostafazadeh, N, N. Chambers, X. He, D. Parikh, D. Batra, L, Vanderwende, P. Kohli, and J. Allen
`(2016) A Corpus and evaluation scheme for deeper understanding of commonsense stories,
`Proc. NAACL.
`Mostafazadeh, N, L. Vanderwende, W. Yih, P. Kohli, and J. Allen (2016) Story kloze evaluator:
`Vector space representation by predicting what happens next, Proc. Repval.
`Bakhshandeh, O., A. Welwood, J. Allen (2016) Learning to Jointly Predict Ellipsis and Comparison
`Structures, Proc CoNLL.
`Mostafazadeh, N, A. Grealish, N. Chambers, J. Allen and L, Vanderwende, (2016) CaTeRS: Causal
`and Temporal Relation Scheme for Semantic Annotation of Event Structures, Workshop on
`Events, NAACL.
`Bakhshandeh, O., J. Allen (2015) Semantic Framework for Comparison Structures in Natural
`Language, Proc EMNLP
`Bahkshandeh, O. and J. Allen (2015). From Adjective Glosses to Scales: Learning Different Aspects
`That an Adjective Can Describe. International Conference on Computational Semantics
`(IWCS)
`
`Llorens, H., N. Chambers, et al. (2015). QA TempEval - Evaluating Temporal Information
`Understanding with Question Answering. Proceedings of the Workshop on Semantic
`Evaluations (SemEval).
`Mostafazadeh, N. and J. F. Allen (2015). Learning Semantically Rich Event Inference Rules Using
`Definition of Verbs. Computational Linguistics and Intelligent Text Processing (CICLing).
`Rhee, H., J. F. Allen, et al. (2014). "Mobile phone-based asthma self-management aid for
`adolescents (mASMAA): a feasibility study." Patient Preference and Adherence 2014:8.
`Perera, I. and J. Allen (2014). What is the Ground? Continuous Maps for Symbol Grounding. Annual
`Meeting of the Cognitive Science Society, Quebec City, CA.
`Allen, J. F. (2014). Learning a Lexicon for Broad-coverage Semantic Parsing. ACL Workshop on
`Semantic Parsing. Baltimore, MD.
`Wilks, Y., L. Galescu, et al. (2013). Automatic Metaphor Detection using Large-Scale Lexical
`Resources and Conventional Metaphor Extraction. Proceedings of the First Workshop on
`Metaphor in NLP, Atlanta, GA.
`Song, Y. C., H. A. Kautz, et al. (2013). A Markov Logic Framework for Recognizing Complex
`Events from Multimodal Data. 15th ACM International Conference on Multimodal
`Interaction, Sydney, Australia.
`Perera, I. and J. F. Allen (2013). SALL-E: A Situated Agent for Language Learning. 27th
`Conference on Artificial Intelligence (AAAI-13), Seattle, WA.
`Manshadi, M., D. Gildea, and J. F. Allen (2013). Integrating Programming by Example and Natural
`Language Programming. 27th Conference on Artificial Intelligence (AAAI-13), Seattle, WA.
`Allen, J. and C. M. Teng (2013). Becoming Different: A Language-driven formalism for
`commonsense knowledge. CommonSense 2013: Eleventh International Symposium on
`Logical Formalization on Commonsense Reasoning, Cypress.
`Manshadi, M., D. Gildea, and J. F. Allen (2013). Plurality, Negation, and Quantification: Towards
`Comprehensive Quantifier Scope Disambiguation. 51st Annual Meeting of the Association
`for Computational Linguistics, Sofia, Bulgaria.
`Allen, J., W. de Beaumont, et al. (2013). Automatically Deriving Event Ontologies for a
`CommonSense Knowledge Base. Proceedings of the Tenth International Conference on
`Computational Semantics (IWCS 2013), Potsdam, Germany.
`
`
`Allen - CV - 10
`
`10
`
`

`

`
`
`UzZaman, N., J. Allen, et al. (2012). Evaluating Temporal Information Understanding with
`Temporal Question Answering. Sixth IEEE International Conference on Semantic
`Computing (IEEE ICSC2012).
`Swift, M., G. Ferguson, et al. (2012). A multimodal corpus for integrated language and action.
`International Workshop on MultiModal Corpora for Machine Learning, LREC, Istanbul.
`Perera, I. and J. Allen (2012). Learning Names for RFID-Tagged Objects in Activity Videos.
`Twenty-Sixth AAAI Conference (AAAI-2012).
`Manshadi, M. and J. Allen (2012). Expanding the Range of Tractable Scope-Underspecified
`Semantic Representations. STARSEM 2012 Montreal, Canada.
`Aist, G. S., E. Campana, et al. (2012). "Fruit Carts: a domain and corpus for research dialogue
`systems and psycholinguistics." Computational Linguistics 38(3).
`Manshadi, M. and J. Allen (2011). Unrestricted Quantifier Scope Disambiguation. TextGraph-6,
`Portland, OR, ACL.
`Jung, H., J. Allen, et al. (2011). Building Timelines from Narrative Clinical Records: Initial Results
`Based-on Deep Natural Language Understanding. ACL BioNLP workshop, Portland, OR
`Ferguson, G. and J. Allen (2011). A Cognitive Model for Collaborative Agents. AAAI Symposium on
`Advances in Cognitive Systems, Washington, DC.
`Allen, J., W. de Beaumont, et al. (2011). Acquiring Commonsense Knowledge for a Cognitive
`Agent. AAAI Symposium on Advances in Cognitive Systems, Washington, DC.
`Campana, E., M. K. Tanenhaus, et al. (2011). "Natural Discourse Reference Generation Reduces
`Cognitive Load." Journal of Natural Language Engineering 17(3): 311-329.
`UzZaman, N., J. Bigham, et al. (2011). Multimodal Summarization of Complex Sentences.
`International Conference on Intelligent User Interfaces.
`UzZaman, N. and J. Allen (2011). Temporal Evaluation. 49th Annual Meeting of the Association for
`Computational Linguistics, ACL.
`UzZaman, N. and J. Allen (2011). "Event and Temporal Expression Extraction from Raw Text: First
`step towards a temporally aware system." International Journal of Semantic Computing.
`Manshadi, M. H., J. Allen, et al. (2011). Building a Corpus of Scope-Disambiguated English Text.
`49th Annual Meeting of the Association for Computational Linguistics, Portland, OR.
`Aist, G. S., E. Campana, et al. (2010). "Fruit Carts: a domain and corpus for research dialogue
`systems and psycholinguistics." Computational Linguistics, in press.
`Aist, G. S., E. Campana, et al. (2010). "Fruit Carts Domain and Corpus." Computational Linguistics,
`in press.
`Allen, J. (2010). "Compositionality, Language and Intention: Commentary on "Embodied Language,
`Best Fit Analysis, and Formal Compositionality" by J. Feldman." Physics of Life Reviews.
`Blaylock, N., W. de Beaumont, et al. (2010). Learning Collaborative Tasks on Textual User
`Interfaces. FLAIRS-23. Daytona Beach, FL.
`Campana, E., M. K. Tanenhaus, et al. (2010). "Natural Discourse Reference Generation Reduces
`Cognitive Load." Journal of Natural Language Engineering, in press.
`Ferguson, G., J. Quinn, et al. (2010). "Towards a Personal Health Management Assistant."
`Biomedical informatics 43(5).
`Ford, K. M., J. Allen, et al. (2010). "PIM: A Novel Architecture for Coordinating Behaviot of
`Distributed Systems." AI Magazine, 13 (2).
`
`Allen - CV - 11
`
`11
`
`

`

`
`
`UzZaman, N. and J. Allen (2010). "Event and Temporal Expression Extraction from Raw Text: First
`step towards a temporally aware system." International Journal of Semantic Computing.
`UzZaman, N. and J. Allen (2010). Extracting Events and Temporal Expressions from Text. Fourth
`IEEE International Conference on Semantic Computing (IEEE ICSC2010). Pittsburgh.
`UzZaman, N. and J. Allen (2010). TRIPS and TRIOS System for TempEval-2: Extracting Temporal
`Information from Text. SemEval-2010: 5th International Workshop on Semantic Evaluations,
`Sweden.
`UzZaman, N. and J. Allen (2010). TRIOS-TimeBank Corpus: Extended TimeBank corpus with help
`of Deep Understanding of Text. Language Resources and Evaluation Conference (LREC), Malta.
`Blaylock, N., B. Swain, and J. Allen. (2009) TESLA: A Tool for Annotating Geospatial Language
`Corpora. Proc. North American Chapter of the Association for Computational
`Linguistics/Human Language Technologies (NAACL HLT) Boulder, Colorado. June 2009.
`Allen, J., M. Swift, et al. (2008). Deep Semantic Analysis of Text. Symposium on Semantics in
`Systems for Text Processing (STEP). Venice, Italy.
`Blaylock, N. and J. F. Allen (2008). Real-time Path Descriptions Grounded with GPS Tracks: a
`preliminary report. Language Resources and Evaluation (LREC). Marrakesh, Morocco.
`Dzikovska, M., J. F. Allen, et al. (2008). "Linking Semantic and Knowledge Representation in a
`Multi-Domain Dialogue System." Logic and Computation 18(3): 405-430.
`Jung, H., J. F. Allen, et al. (2008). "Utilizing natural language for one-shot task learning." Logic and
`Computation 18(3): 475-493.
`Johnson, M. J., J. Koji Intlekofer, et al. (2008). Coordinated Operations in Mixed Teams of Humans
`and Robots. International Conference on Distributed Human-Machine Systems.
`Pineda, L., V. Estrada, et al. (2007). "The obligations and common ground structures of practical
`dialogues." Revista Iberoamericana de Inteligencia Artificial.
`Michalak, P. and J. F. Allen (2007). Improving User Taught Task Models. 11th International
`Conference on User Modeling (UM 2007). Corfu, Greece.
`Gomez-Gallo, C. A., G. S. Aist, et al. (2007). Anotating continuous understanding in a multimodal
`dialogue corpus. DECALOG.
`Allen, J. F., M. Dzikovska and M. Swift (2007). Deep linguistic processing for spoken dialogue
`systems. Workshop on Deep Linguistic Processing, Association for Computational
`Linguistics. Prague.
`Allen, J. F., N. Chambers, et al. (2007). Demonstration of PLOW: A Dialogue System for One-shot
`Task Learning. Awarded best demonstration, North American Conference of the Association
`for Computational Linguistics (NAACL). Rochester, NY.
`Allen, J. F., N. Chambers, et al. (2007). PLOW: A collaborative task learning agent. Named Best
`Paper, National Conference on Artificial Intelligence (AAAI). Vancouver, BC.
`Aist, G. S., J. F. Allen, et al. (2007). Incremental dialogue system faster and preferred to its
`nonincremental counterpart. Cognitive Science Society.
`Jung, H., J. Allen, et al. (2006). One-Shot Procedure Learning from Instruction and Observation.
`FLAIRS, Melbourne, FL.
`Chambers, N., J. Allen, et al. (2006). Using Semantics to Identify Web Objects. 21st National
`Conference on Artificial Intelligence (AAAI-06), Boston, MA.
`Blaylock, N. and J. F. Allen (2006). Fast hierarchical goal schema recognition. 21st National
`Conference on Artificial Intelligence (AAAI-06), Boston.
`Blaylock, N. and J. F. Allen (2006). Hierarchical instantiated goal recognition. AAAI Workshop on
`Modeling Others from Observations (MOO-2006), Boston.
`
`Allen - CV - 12
`
`12
`
`

`

`
`
`Allen, J. F., N. Blaylock, et al. (2006). "Chester: Towards a personal medical advisor." Biomedical
`informatics 39(5): 500-513.
`Aist, G. S., S. Stoness, et al. (2006). Steps towards incremental semantics for spoken dialog systems.
`The Third Midwest Computational Linguistics Colloquium (MCLC-2006), Urbana-
`Champaign, IL.
`Aist, G. S., J. F. Allen, et al. (2006). Software architectures for incremental understanding of human
`speech. International Conference on Spoken Language Processing (ICSLP), Pittsburgh, PA.
`Stoness, S., J. F. Allen, et al. (2005). Using real-world reference to improve spoken language
`understanding. AAAI Workshop on Spoken Language Understanding, Pittsburgh, PA.
`Elsner, M., M. Swift, et al. (2005). Online statistics for a unification-based dialogue parser.
`International Workshop on Parsing Technologies (IWPT05), Vancouver BC.
`Dzikovska, M., M. Swift, et al. (2005). Generic parsing for multi-domain semantic interpretation.
`International Workshop on Parsing Technologies (IWPT05), Vancouver BC.
`Chambers, N., J. F. Allen, et al. (2005). A Dialogue-Based Approach to Multi-Robot Team Control.
`International Workshop on Multi-Robot Systems, Washington, DC, Springer.
`Bradshaw, J. M., R. Jeffers, et al. (2005). Kaa: policy-based explorations of a richer model for
`adjustable autonomy. Proceedings of the fourth international joint conference on
`Autonomous agents and multiagent systems, ACM Press New York, NY, USA.
`Blaylock, N. and J. F. Allen (2005). A collaborative problem-solving model of dialogue. 6th
`SIGDIAL Workshop on Discourse and Dialogue, Lisbon.
`Blaylock, N. and J. F. Allen (2005). Recognizing Instantiated Goals using Statistical Models.
`Workshop on Modeling Others from Observations, Nineteenth International Joint Conference
`on Artificial Intelligence, Edinburgh.
`Blaylock, N. and J. F. Allen (2005). Generating A