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ORCIDMichael J. Witbrock
Michael Witbrock
Person information
- affiliation: IBM Research
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2022
[j8]Joshua Bensemann, Qiming Bao
, Gaël Gendron, Tim Hartill, Michael Witbrock:
Relating Blindsight and AI: A Review. J. Artif. Intell. Conscious. 09(1): 111-125 (2022)- [c55]Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. AAAI 2022: 12826-12834 - [c54]Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock:
AbductionRules: Training Transformers to Explain Unexpected Inputs. ACL (Findings) 2022: 218-227 - [c53]Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle:
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. IJCAI 2022: 4093-4099 - [i21]Joshua Bensemann, Qiming Bao, Gaël Gendron, Tim Hartill, Michael Witbrock:
Relating Blindsight and AI: A Review. CoRR abs/2201.00616 (2022) - [i20]Nathan Young, Qiming Bao, Joshua Bensemann, Michael Witbrock:
AbductionRules: Training Transformers to Explain Unexpected Inputs. CoRR abs/2203.12186 (2022) - [i19]Zhenyun Deng, Yonghua Zhu, Yang Chen, Michael Witbrock, Patricia Riddle:
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering. CoRR abs/2206.08486 (2022) - [i18]Qiming Bao, Alex Yuxuan Peng, Tim Hartill, Neset Tan, Zhenyun Deng, Michael Witbrock, Jiamou Liu:
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. CoRR abs/2207.14000 (2022) - 2021
- [c52]Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. AAAI 2021: 6279-6287 - [c51]Aaron Keesing, Yun Sing Koh, Michael Witbrock:
Acoustic Features and Neural Representations for Categorical Emotion Recognition from Speech. Interspeech 2021: 3415-3419 - [i17]Ibrahim Abdelaziz, Maxwell Crouse, Bassem Makni, Vernon Austil, Cristina Cornelio, Shajith Ikbal, Pavan Kapanipathi, Ndivhuwo Makondo, Kavitha Srinivas, Michael Witbrock, Achille Fokoue:
Learning to Guide a Saturation-Based Theorem Prover. CoRR abs/2106.03906 (2021) - [i16]Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu:
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions. CoRR abs/2111.10058 (2021) - [i15]Dave Schneider, Michael Witbrock:
Semantic Construction Grammar: Bridging the NL / Logic Divide. CoRR abs/2112.05256 (2021)
2010 – 2019
- 2019
- [c50]Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. AAAI 2019: 2835-2842 - [c49]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. AAAI 2019: 7208-7215 - [c48]Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Reformulation with Background Knowledge. AKBC 2019 - [c47]Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael J. Witbrock:
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. MLSys 2019 - [c46]Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock:
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP 2019: 159-163 - [i14]Maxwell Crouse, Achille Fokoue, Maria Chang, Pavan Kapanipathi, Ryan Musa, Constantine Nakos, Lingfei Wu, Kenneth D. Forbus, Michael Witbrock:
High-Fidelity Vector Space Models of Structured Data. CoRR abs/1901.02565 (2019) - [i13]Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock:
A Sequential Set Generation Method for Predicting Set-Valued Outputs. CoRR abs/1903.05153 (2019) - [i12]Maxwell Crouse, Spencer Whitehead, Ibrahim Abdelaziz, Bassem Makni, Cristina Cornelio, Pavan Kapanipathi, Edwin Pell, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies. CoRR abs/1911.02065 (2019) - 2018
- [c45]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL 2018: 60-70 - [c44]Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock:
Random Warping Series: A Random Features Method for Time-Series Embedding. AISTATS 2018: 793-802 - [c43]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CVPR 2018: 1654-1663 - [c42]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
An Interface for Annotating Science Questions. EMNLP (Demonstration) 2018: 102-107 - [c41]Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. EMNLP 2018: 4524-4534 - [c40]Hima P. Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez-Muro, Ryan Musa, Michael Witbrock:
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases. ISWC (P&D/Industry/BlueSky) 2018 - [i11]Michael J. Witbrock, Marco Zagha:
An Implementation of Back-Propagation Learning on GF11, a Large SIMD Parallel Computer. CoRR abs/1801.01554 (2018) - [i10]Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock:
D2KE: From Distance to Kernel and Embedding. CoRR abs/1802.04956 (2018) - [i9]Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael J. Witbrock, Thomas S. Huang:
Image Super-Resolution via Dual-State Recurrent Networks. CoRR abs/1805.02704 (2018) - [i8]Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock:
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. CoRR abs/1806.00358 (2018) - [i7]Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock:
Random Warping Series: A Random Features Method for Time-Series Embedding. CoRR abs/1809.05259 (2018) - [i6]Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa, Mo Yu, Kartik Talamadupula, Ibrahim Abdelaziz, Maria Chang, Achille Fokoue, Bassem Makni, Nicholas Mattei, Michael Witbrock:
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. CoRR abs/1809.05724 (2018) - [i5]Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, Michael Witbrock:
Answering Science Exam Questions Using Query Rewriting with Background Knowledge. CoRR abs/1809.05726 (2018) - [i4]Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. CoRR abs/1811.01713 (2018) - [i3]Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock:
Discrete Attacks and Submodular Optimization with Applications to Text Classification. CoRR abs/1812.00151 (2018) - 2017
- [j7]Luka Bradesko, Michael J. Witbrock, Janez Starc, Zala Herga, Marko Grobelnik, Dunja Mladenic:
Curious Cat-Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition. ACM Trans. Inf. Syst. 35(4): 33:1-33:46 (2017) - [c39]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. NIPS 2017: 77-87 - [e2]Sarven Capadisli, Franck Cotton, Xin Luna Dong, Ramanathan V. Guha, Armin Haller, Pascal Hitzler, Evangelos Kalampokis, Mayank Kejriwal, Freddy Lécué, D. Sivakumar, Pedro A. Szekely, Raphaël Troncy, Michael J. Witbrock:
Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017. CEUR Workshop Proceedings, CEUR-WS.org 2017 [contents] - [r4]Marko Grobelnik, Dunja Mladenic, Michael J. Witbrock:
Text Mining for the Semantic Web. Encyclopedia of Machine Learning and Data Mining 2017: 1262-1263 - [i2]Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael J. Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang:
Dilated Recurrent Neural Networks. CoRR abs/1710.02224 (2017) - 2016
- [j6]Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael J. Witbrock, Jie Zhang:
Reports of the 2016 AAAI Workshop Program. AI Mag. 37(3): 99-108 (2016) - [c38]Luka Bradesko, Janez Starc, Dunja Mladenic, Marko Grobelnik, Michael J. Witbrock:
Curious cat conversational crowd based and context aware knowledge acquisition chat bot. IEEE Conf. on Intelligent Systems 2016: 239-252 - [e1]Blaz Fortuna, Marko Grobelnik, Estevam R. Hruschka Jr., Michael J. Witbrock:
Knowledge Extraction from Text, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Technical Report WS-16-10, AAAI Press 2016 [contents] - [i1]Abhishek Sharma, Michael J. Witbrock, Keith Goolsbey:
Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach. CoRR abs/1603.04402 (2016) - 2015
- [c37]Michael J. Witbrock, Karen Pittman, Jessica Moszkowicz, Andrew Beck, Dave Schneider, Douglas B. Lenat:
Cyc and the Big C: Reading that Produces and Uses Hypotheses about Complex Molecular Biology Mechanisms. AAAI Workshop: Scholarly Big Data 2015 - [c36]Michael J. Witbrock:
Dense Models from Videos: Can YouTube be the Font of All Knowledge Bases? ICMR 2015: 1 - [c35]Dave Schneider, Michael J. Witbrock:
Semantic Construction Grammar: Bridging the NL / Logic Divide. WWW (Companion Volume) 2015: 673-678 - 2014
- [c34]Hui Cheng, Jingen Liu, Ishani Chakraborty, Guang Chen, Qiguang Liu, Mohamed Elhoseiny, Gary Gan, Ajay Divakaran, Harpreet S. Sawhney, James Allan, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis:
SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting. TRECVID 2014 - 2013
- [c33]Jingen Liu, Hui Cheng, Omar Javed, Qian Yu, Ishani Chakraborty, Weiyu Zhang, Ajay Divakaran, Harpreet S. Sawhney, James Allan, R. Manmatha, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis, Gerald Friedland:
SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. TRECVID 2013 - [r3]Michael J. Witbrock:
Infrastructure and Architecture for Human Computer Intelligent Collaboration. Handbook of Human Computation 2013: 505-508 - [r2]Michael J. Witbrock, Luka Bradesko:
Conversational Computation. Handbook of Human Computation 2013: 531-543 - 2012
- [c32]Hui Cheng, Jingen Liu, Saad Ali, Omar Javed, Qian Yu, Amir Tamrakar, Ajay Divakaran, Harpreet S. Sawhney, R. Manmatha, James Allan, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Afshin Dehghan, Gerald Friedland, Benjamin Elizalde, Trevor Darrell, Michael Witbrock, Jon Curtis:
SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. TRECVID 2012 - 2011
- [c31]Hui Cheng, Amir Tamrakar, Saad Ali, Qian Yu, Omar Javed, Jingen Liu, Ajay Divakaran, Harpreet S. Sawhney, Alexander G. Hauptmann, Mubarak Shah, Subhabrata Bhattacharya, Michael Witbrock, Jon Curtis, Gerald Friedland, Robert Mertens, Trevor Darrell, R. Manmatha, James Allan:
Team SRI-Sarnoff's AURORA System @ TRECVID 2011. TRECVID 2011 - [c30]Matthias Assel, Alexey Cheptsov, Georgina Gallizo, Irene Celino, Daniele Dell'Aglio, Luka Bradesko, Michael J. Witbrock, Emanuele Della Valle:
Large knowledge collider: a service-oriented platform for large-scale semantic reasoning. WIMS 2011: 41 - 2010
- [j5]Douglas B. Lenat, Michael J. Witbrock, David Baxter, Eugene Blackstone, Chris Deaton, Dave Schneider, Jerry Scott, Blake Shepard:
Harnessing Cyc to Answer Clinical Researchers' Ad Hoc Queries. AI Mag. 31(3): 13-32 (2010) - [r1]Marko Grobelnik, Dunja Mladenic, Michael J. Witbrock:
Text Mining for the Semantic Web. Encyclopedia of Machine Learning 2010: 978-980
2000 – 2009
- 2009
- [c29]Jon Curtis, David Baxter, Peter Wagner, John Cabral, Dave Schneider, Michael J. Witbrock:
Methods of Rule Acquisition in the TextLearner System. AAAI Spring Symposium: Learning by Reading and Learning to Read 2009: 22-28 - [c28]Rohit Kumar, Carolyn Penstein Rosé, Michael J. Witbrock:
Building Conversational Agents with Basilica. HLT-NAACL (Demos) 2009: 5-8 - [p2]David Baxter, Bryan Klimt, Marko Grobelnik, David Schneider, Michael Witbrock, Dunja Mladenic:
Capturing Document Semantics for Ontology Generation and Document Summarization. Semantic Knowledge Management 2009: 141-154 - 2008
- [c27]Dieter Fensel, Frank van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Della Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung-il Lee, Lael Schooler, Volker Tresp, Stefan Wesner, Michael J. Witbrock, Ning Zhong:
Towards LarKC: A Platform for Web-Scale Reasoning. ICSC 2008: 524-529 - [c26]Michael J. Witbrock:
Thinking Big - AI at Web Scale. Web Intelligence 2008: 32 - 2007
- [c25]Matthew E. Taylor, Cynthia Matuszek, Bryan Klimt, Michael J. Witbrock:
Autonomous Classification of Knowledge into an Ontology. FLAIRS Conference 2007: 140-145 - [c24]Matthew E. Taylor, Cynthia Matuszek, Pace Reagan Smith, Michael J. Witbrock:
Guiding Inference with Policy Search Reinforcement Learning. FLAIRS Conference 2007: 146-151 - 2006
- [c23]Robert C. Kahlert, Benjamin Rode, David Baxter, Michael Witbrock, Kenneth D. Forbus, Larry Birnbaum, Purvesh Shah, Dave Schneider, Kathy Panton, Alan Belasco, David Crabbe:
Tracking Quantity Fluctuations Using STT. AAAI Fall Symposium: Capturing and Using Patterns for Evidence Detection 2006: 77-84 - [c22]Cynthia Matuszek, John Cabral, Michael J. Witbrock, John DeOliveira:
An Introduction to the Syntax and Content of Cyc. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering 2006: 44-49 - [c21]Purvesh Shah, David Schneider, Cynthia Matuszek, Robert C. Kahlert, Bjørn Aldag, David Baxter, John Cabral, Michael J. Witbrock, Jon Curtis:
Automated Population of Cyc: Extracting Information about Named-entities from the Web. FLAIRS Conference 2006: 153-158 - [p1]Kathy Panton, Cynthia Matuszek, Douglas B. Lenat, Dave Schneider, Michael J. Witbrock, Nick Siegel, Blake Shepard:
Common Sense Reasoning - From Cyc to Intelligent Assistant. Ambient Intelligence in Everyday 2006: 1-31 - 2005
- [c20]Cynthia Matuszek, Michael J. Witbrock, Robert C. Kahlert, John Cabral, David Schneider, Purvesh Shah, Douglas B. Lenat:
Searching for Common Sense: Populating Cyc™ from the Web. AAAI 2005: 1430-1435 - [c19]Blake Shepard, Cynthia Matuszek, C. Bruce Fraser, William Wechtenhiser, David Crabbe, Zelal Güngördü, John Jantos, Todd Hughes, Larry Lefkowitz, Michael J. Witbrock, Douglas B. Lenat, Erik Larson:
A Knowledge-Based Approach to Network Security: Applying Cyc in the Domain of Network Risk Assessment. AAAI 2005: 1563-1568 - [c18]Larry Birnbaum, Kenneth D. Forbus, Earl J. Wagner, James Baker, Michael J. Witbrock:
Analogy, Intelligent IR, and Knowledge Integration for Intelligence Analysis. AAAI Spring Symposium: AI Technologies for Homeland Security 2005: 32-37 - [c17]Michael J. Witbrock, Cynthia Matuszek, Antoine Brusseau, Robert C. Kahlert, C. Bruce Fraser, Douglas B. Lenat:
Knowledge Begets Knowledge: Steps towards Assisted Knowledge Acquisition in Cyc. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors 2005: 99-105 - [c16]John Cabral, Robert C. Kahlert, Cynthia Matuszek, Michael J. Witbrock, Brett Summers:
Converting Semantic Meta-knowledge into Inductive Bias. ILP 2005: 38-50 - 2004
- [j4]Noah S. Friedland, Paul G. Allen, Gavin Matthews, Michael J. Witbrock, David Baxter, Jon Curtis, Blake Shepard, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, Eddie Mönch, Henrik Oppermann, Dirk Wenke, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, James Fan, Shaw Yi Chaw, Peter Z. Yeh, Dan Tecuci, Peter Clark:
Project Halo: Towards a Digital Aristotle. AI Mag. 25(4): 29-48 (2004) - [c15]Tom O'Hara, Stefano Bertolo, Michael J. Witbrock, Bjørn Aldag, Jon Curtis, Kathy Panton, Dave Schneider, Nancy Salay:
Inferring parts of speech for lexical mappings via the Cyc KB. COLING 2004 - [c14]Noah S. Friedland, Paul G. Allen, Michael J. Witbrock, Gavin Matthews, Nancy Salay, Pierluigi Miraglia, Jürgen Angele, Steffen Staab, David J. Israel, Vinay K. Chaudhri, Bruce W. Porter, Ken Barker, Peter Clark:
Towards a Quantitative, Platform-Independent Analysis of Knowledge Systems. KR 2004: 507-515 - [c13]Michael Witbrock, Kathy Panton, Stephen L. Reed, Dave Schneider, Bjørn Aldag, Mike Reimers, Stefano Bertolo:
Automated OWL Annotation Assisted by a Large Knowledge Base. SemAnnot@ISWC 2004 - 2003
- [c12]Tom O'Hara, Michael J. Witbrock, Bjørn Aldag, Stefano Bertolo, Nancy Salay, Jon Curtis, Kathy Panton:
Inducing criteria for lexicalization parts of speech using the Cyc KB. IJCAI 2003: 1496- - 2000
- [c11]Michele Banko, Vibhu O. Mittal, Michael J. Witbrock:
Headline Generation Based on Statistical Translation. ACL 2000: 318-325
1990 – 1999
- 1999
- [c10]Matthew Siegler, Michael J. Witbrock:
Improving the suitability of imperfect transcriptions for information retrieval from spoken documents. ICASSP 1999: 505-508 - [c9]Michael J. Witbrock, Vibhu O. Mittal:
Ultra-Summarization: A Statistical Approach to Generating Highly Condensed Non-Extractive Summaries (poster abstract). SIGIR 1999: 315-316 - 1998
- [j3]Michael J. Witbrock, Alexander G. Hauptmann:
Speech Recognition for a Digital Video Library. J. Am. Soc. Inf. Sci. 49(7): 619-632 (1998) - [c8]Alexander G. Hauptmann, Michael J. Witbrock:
Story Segmentation and Detection of Commercials in Broadcast News Video. ADL 1998: 168-179 - [c7]Matthew Siegler, Adam L. Berger, Michael J. Witbrock, Alexander G. Hauptmann:
Experiments in Spoken Document Retrieval at CMU. TREC 1998: 264-270 - 1997
- [c6]Alexander G. Hauptmann, Michael J. Witbrock, Michael G. Christel:
Artificial Intelligence Techniques in the Interface to a Digital Video Library. CHI Extended Abstracts 1997: 2-3 - [c5]Michael J. Witbrock, Alexander G. Hauptmann:
Using Words and Phonetic Strings for Efficient Information Retrieval from Imperfectly Transcribed Spoken Documents. ACM DL 1997: 30-35 - [c4]Matthew Siegler, Michael J. Witbrock, Seán Slattery, Kristie Seymore, R. E. Jones, Alexander G. Hauptmann:
Experiments in Spoken Document Retrieval at CMU. TREC 1997: 291-302 - 1995
- [j2]Alexander G. Hauptmann, Michael J. Witbrock, Michael G. Christel:
News-on-Demand: An Application of Informedia® Technology. D Lib Mag. 1(3) (1995) - [c3]Alexander G. Hauptmann, Michael J. Witbrock, Alexander I. Rudnicky:
Speech for Multimedia Information Retrieval. ACM Symposium on User Interface Software and Technology 1995: 79-80 - 1992
- [c2]Michael Witbrock, Patrick Haffner:
Rapid connectionist speaker adaptation. ICASSP 1992: 453-456 - 1990
- [j1]Michael J. Witbrock, Marco Zagha:
An implementation of backpropagation learning on GF11, a large SIMD parallel computer. Parallel Comput. 14(3): 329-346 (1990)
1980 – 1989
- 1989
- [c1]Michael A. Franzini, Michael J. Witbrock, Kai-Fu Lee:
A connectionist approach to continuous speech recognition. ICASSP 1989: 425-428
Coauthor Index
Achille Fokoue
aka: Achille Fokoue-Nkoutche
aka: Achille Fokoue-Nkoutche
Alex Hauptmann 0001
aka: Alexander G. Hauptmann
aka: Alexander G. Hauptmann
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