Clayton T. Morrison

58 papers A* 7A 1B 6C 4Misc 3Journal 23Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology.
CoRR
K. C. Dharma, Clayton T. Morrison
2024 J jnl
Variable Extraction for Model Recovery in Scientific Literature.
CoRR
Chunwei Liu, Enrique Noriega-Atala, Adarsh Pyarelal, Clayton T. Morrison, Mike Cafarella
2024 — conf
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context.
EMNLP (Findings)
Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu
2024 J jnl
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context.
CoRR
Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu
2023 — conf
Information Extraction from Legal Wills: How Well Does GPT-4 Do?
EMNLP (Findings)
Alice Saebom Kwak, Cheonkam Jeong, Gaetano Forte, Derek E. Bambauer, Clayton T. Morrison, Mihai Surdeanu
2023 J jnl
Neural Machine Translation for Code Generation.
CoRR
K. C. Dharma, Clayton T. Morrison
2023 A* conf
The ToMCAT Dataset.
NeurIPS
Adarsh Pyarelal, Eric Duong, Caleb Shibu, Paulo Soares, Savannah Boyd, Payal Khosla, Valeria A. Pfeifer, Diheng Zhang, Eric Andrews, Rick Champlin, Vincent Raymond, Meghavarshini Krishnaswamy, Clayton T. Morrison, Emily Butler, Kobus Barnard
2022 J jnl
Learning Open Domain Multi-hop Search Using Reinforcement Learning.
CoRR
Enrique Noriega-Atala, Mihai Surdeanu, Clayton T. Morrison
2022 — conf
Low Resource Causal Event Detection from Biomedical Literature.
BioNLP@ACL
Zhengzhong Liang, Enrique Noriega-Atala, Clayton T. Morrison, Mihai Surdeanu
2022 — conf
Neural Architectures for Biological Inter-Sentence Relation Extraction.
SDU@AAAI
Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu
2022 J jnl
Texture Generation Using Graph Generative Adversarial Network And Differentiable Rendering.
CoRR
Dharma Raj KC, Clayton T. Morrison, Bradley Walls
2022 Misc conf
Texture Generation Using a Graph Generative Adversarial Network and Differentiable Rendering.
IVCNZ
K. C. Dharma, Clayton T. Morrison, Bradley Walls
2022 — conf
Validity Assessment of Legal Will Statements as Natural Language Inference.
EMNLP (Findings)
Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison, Derek E. Bambauer, Mihai Surdeanu
2022 J jnl
Validity Assessment of Legal Will Statements as Natural Language Inference.
CoRR
Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison, Derek E. Bambauer, Mihai Surdeanu
2021 J jnl
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning.
CoRR
Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison
2021 J jnl
Neural Architectures for Biological Inter-Sentence Relation Extraction.
CoRR
Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu
2020 J jnl
AutoMATES: Automated Model Assembly from Text, Equations, and Software.
CoRR
Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison
2020 J jnl
Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts.
IEEE ACM Trans. Comput. Biol. Bioinform.
Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Sean M. Hendryx, Clayton T. Morrison
2020 B conf
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions.
LREC
Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison
2019 — conf
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.
NAACL-HLT (Demonstrations)
Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu
2019 J jnl
Meta-Learning Initializations for Image Segmentation.
CoRR
Sean M. Hendryx, Andrew B. Leach, Paul Douglas Hein, Clayton T. Morrison
2018 J jnl
A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images.
IEEE Trans. Geosci. Remote. Sens.
Rodrigo Savage, Leon F. Palafox, Clayton T. Morrison, Jeffrey J. Rodríguez, Kobus Barnard, Shane Byrne, Christopher W. Hamilton
2018 J jnl
Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts.
CoRR
Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Clayton T. Morrison
2018 J jnl
Large-scale automated machine reading discovers new cancer-driving mechanisms.
Database J. Biol. Databases Curation
Marco Antonio Valenzuela-Escárcega, Özgün Babur, Gus Hahn-Powell, Dane Bell, Thomas Hicks, Enrique Noriega-Atala, Xia Wang, Mihai Surdeanu, Emek Demir, Clayton T. Morrison
2018 J jnl
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference.
CoRR
Peter A. Jansen, Elizabeth Wainwright, Steven Marmorstein, Clayton T. Morrison
2018 B conf
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference.
LREC
Peter A. Jansen, Elizabeth Wainwright, Steven Marmorstein, Clayton T. Morrison
2017 A* conf
An Infinite Hidden Markov Model With Similarity-Biased Transitions.
ICML
Colin R. Dawson, Chaofan Huang, Clayton T. Morrison
2017 J jnl
An Infinite Hidden Markov Model With Similarity-Biased Transitions.
CoRR
Colin R. Dawson, Chaofan Huang, Clayton T. Morrison
2017 — conf
Composition by Conversation.
ICMC
Donya Quick, Clayton T. Morrison
2017 J jnl
Composition by Conversation.
CoRR
Donya Quick, Clayton T. Morrison
2017 A* conf
Learning what to read: Focused machine reading.
EMNLP
Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu
2017 J jnl
Learning what to read: Focused machine reading.
CoRR
Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu
2016 A* conf
Bayesian Inference of Recursive Sequences of Group Activities from Tracks.
AAAI
Ernesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison
2016 J jnl
Bayesian Inference of Recursive Sequences of Group Activities from Tracks.
CoRR
Ernesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison
2015 A* conf
Moderated and Drifting Linear Dynamical Systems.
ICML
Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton T. Morrison, Emily Butler, Kobus Barnard
2013 — ch.
Human Computation as an Educational Opportunity.
Handbook of Human Computation
Carole R. Beal, Clayton T. Morrison, Juan C. Villegas
2013 — conf
Preface.
AAAI Workshop: Learning Rich Representations from Low-Level Sensors
Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison
2011 — conf
Blending Autonomous Exploration and Apprenticeship Learning.
NIPS
Thomas J. Walsh, Daniel Hewlett, Clayton T. Morrison
2011 B conf
Challenges to decoding the intention behind natural instruction.
RO-MAN
Raquel Torres Peralta, Tasneem Kaochar, Ian R. Fasel, Clayton T. Morrison, Thomas J. Walsh, Paul R. Cohen
2011 J jnl
Computer science can use more science.
Commun. ACM
Clayton T. Morrison, Richard T. Snodgrass
2011 — conf
Human Natural Instruction of a Simulated Electronic Student.
AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration
Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Thomas J. Walsh, Ian R. Fasel, Sumin Beyon, Anh Tran, Jeremy B. Wright, Paul R. Cohen
2011 A conf
Towards Understanding How Humans Teach Robots.
UMAP
Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Ian R. Fasel, Thomas J. Walsh, Paul R. Cohen
2010 — conf
Intrinsically motivated information foraging.
ICDL
Ian R. Fasel, Andrew Wilt, Nassim Mafi, Clayton T. Morrison
2008 J jnl
AAAI Fall Symposium Reports.
AI Mag.
Jerry T. Ball, Chris Arney, Samuel G. Collins, Mitchell Marcus, Sergei Nirenburg, Antonio Chella, Kai Goebel, Jason H. Li, Margaret Lyell, Brian Magerko, Riccardo Manzotti, Clayton T. Morrison, Tim Oates, Mark O. Riedl, Goran Trajkovski, Walt Truszkowski, N. Serdar Uckun
2007 — ed.
Computational Approaches to Representation Change during Learning and Development, Papers from the 2007 AAAI Fall Symposium, Arlington, Virginia, USA, November 9-11, 2007.
AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development
Clayton T. Morrison, Tim Oates
2007 A* conf
Learning and Transferring Action Schemas.
IJCAI
Paul R. Cohen, Yu-Han Chang, Clayton T. Morrison, Carole R. Beal
2006 — conf
Piagetian Adaptation Meets Image Schemas: The Jean System.
SAB
Yu-Han Chang, Paul R. Cohen, Clayton T. Morrison, Robert St. Amant, Carole R. Beal
2006 C conf
The Colab Mixed-Initiative Analysis Enviroment.
FUSION
Clayton T. Morrison, Paul R. Cohen
2006 C conf
The Hats Information Fusion Challenge Problem.
FUSION
Clayton T. Morrison, Paul R. Cohen
2006 C conf
The Hats Simulator and Colab: An Integrated Information Fusion Challenge Problem and Collaborative Analysis Environment.
ISI
Clayton T. Morrison, Paul R. Cohen
2005 A* conf
Maps for Verbs: The Relation Between Interaction Dynamics and Verb Use.
IJCAI
Paul R. Cohen, Clayton T. Morrison, Erin Cannon
2004 Misc conf
The Hats Simulator.
WSC
Paul R. Cohen, Clayton T. Morrison
2003 C conf
A Knowledge Acquisition Tool for Course of Action Analysis.
IAAI
Kim Barker, Jim Blythe, Gary C. Borchardt, Vinay K. Chaudhri, Peter Clark, Paul R. Cohen, Julie Fitzgerald, Kenneth D. Forbus, Yolanda Gil, Boris Katz, Jihie Kim, Gary W. King, Sunil Mishra, Clayton T. Morrison, Kenneth S. Murray, Charley Otstott, Bruce W. Porter, Robert Schrag, Tomás E. Uribe, Jeffrey M. Usher, Peter Z. Yeh
2003 Misc conf
Agent models I: action models.
WSC
Gary W. King, Clayton T. Morrison, Paul R. Cohen
2003 B conf
Guided Incremental Construction of Belief Networks.
IDA
Charles A. Sutton, Brendan Burns, Clayton T. Morrison, Paul R. Cohen
2000 B conf
Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis.
Image Processing
Joseph Y. Lo, Walker H. Land, Clayton T. Morrison
1999 B conf
Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis.
IJCNN
Joseph Y. Lo, Walker H. Land, Clayton T. Morrison
1998 J jnl
What It Means to Be "situated".
Cybern. Syst.
Lewis A. Loren, Eric Dietrich, Clayton T. Morrison, Jonathan Beskin