| 2021 | EACL | StructSum: Summarization via Structured Representations. | Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov |
| 2020 | AAAI | Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios. | Kyungtae Lim, Jay Yoon Lee, Jaime G. Carbonell, Thierry Poibeau |
| 2020 | AAAI | Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | ACL | Soft Gazetteers for Low-Resource Named Entity Recognition. | Shruti Rijhwani, Shuyan Zhou, Graham Neubig, Jaime G. Carbonell |
| 2020 | ECAI | Hope Speech Detection: A Computational Analysis of the Voice of Peace. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | ECAI | Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | ECAI | The Refugee Experience Online: Surfacing Positivity Amidst Hate. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | ECAI | Minimizing and Recovering from the Effect of Concept Drift via Feature Selection. | Daegun Won, Peter J. Jansen, Jaime G. Carbonell |
| 2020 | EMNLP | Efficient Meta Lifelong-Learning with Limited Memory. | Zirui Wang, Sanket Vaibhav Mehta, Barnabs Pczos, Jaime G. Carbonell |
| 2020 | ICLR | Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. | Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell |
| 2020 | ICML | Optimizing Data Usage via Differentiable Rewards. | Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime G. Carbonell, Graham Neubig |
| 2020 | IJCAI | Harnessing Code Switching to Transcend the Linguistic Barrier. | Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell |
| 2019 | AAAI | Gradient-Based Inference for Networks with Output Constraints. | Jay Yoon Lee, Sanket Vaibhav Mehta, Michael L. Wick, Jean-Baptiste Tristan, Jaime G. Carbonell |
| 2019 | AAAI | Zero-Shot Neural Transfer for Cross-Lingual Entity Linking. | Shruti Rijhwani, Jiateng Xie, Graham Neubig, Jaime G. Carbonell |
| 2019 | ACL | Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. | Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov |
| 2019 | ACL | Domain Adaptation of Neural Machine Translation by Lexicon Induction. | Junjie Hu, Mengzhou Xia, Graham Neubig, Jaime G. Carbonell |
| 2019 | AISTATS | Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | AISTATS | Data-Driven Approach to Multiple-Source Domain Adaptation. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | CVPR | Characterizing and Avoiding Negative Transfer. | Zirui Wang, Zihang Dai, Barnabs Pczos, Jaime G. Carbonell |
| 2019 | EMNLP | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers. | Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig, Jaime G. Carbonell |
| 2019 | EMNLP | Learning Rhyming Constraints using Structured Adversaries. | Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick |
| 2019 | PRICAI | Toward Reciprocity-Aware Distributed Learning in Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2018 | EMNLP | Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. | Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell |
| 2018 | EMNLP | DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers. | Jesse Dunietz, Jaime G. Carbonell, Lori S. Levin |
| 2018 | EMNLP | Towards Semi-Supervised Learning for Deep Semantic Role Labeling. | Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell |
| 2018 | EMNLP | Neural Cross-lingual Named Entity Recognition with Minimal Resources. | Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell |
| 2018 | ESANN | Temporal transfer learning for drift adaptation. | Daegun Won, Peter J. Jansen, Jaime G. Carbonell |
| 2018 | EUMAS | Endorsement in Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2018 | ICLR | Gradients explode - Deep Networks are shallow - ResNet explained. | George Philipp, Dawn Song, Jaime G. Carbonell |
| 2018 | ISMIS | Market-Aware Proactive Skill Posting. | Ashiqur R. KhudaBukhsh, Jong Woo Hong, Jaime G. Carbonell |
| 2017 | AAAI | Vision-Language Fusion for Object Recognition. | Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime G. Carbonell, Jean Oh |
| 2017 | EUMAS | Incentive Compatible Proactive Skill Posting in Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2017 | ICLR | Nonparametric Neural Networks. | George Philipp, Jaime G. Carbonell |
| 2017 | IJCAI | Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer. | Seungwhan Moon, Jaime G. Carbonell |
| 2017 | IJCAI | Self-Paced Multitask Learning with Shared Knowledge. | Keerthiram Murugesan, Jaime G. Carbonell |
| 2017 | ISMIS | Robust Learning in Expert Networks: A Comparative Analysis. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2017 | SDM | Multi-Task Multiple Kernel Relationship Learning. | Keerthiram Murugesan, Jaime G. Carbonell |
| 2016 | COLING | Leveraging Multilingual Training for Limited Resource Event Extraction. | Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu |
| 2016 | ECAI | Distributed Learning in Expert Referral Networks. | Ashiqur R. KhudaBukhsh, Peter J. Jansen, Jaime G. Carbonell |
| 2016 | EDM | Data-driven Automated Induction of Prerequisite Structure Graphs. | Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger |
| 2016 | EMNLP | Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings. | Akash Bharadwaj, David R. Mortensen, Chris Dyer, Jaime G. Carbonell |
| 2016 | EUMAS | Proactive-DIEL in Evolving Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2016 | KDD | Efficient Shift-Invariant Dictionary Learning. | Guoqing Zheng, Yiming Yang, Jaime G. Carbonell |
| 2016 | NAACL | Generation from Abstract Meaning Representation using Tree Transducers. | Jeffrey Flanigan, Chris Dyer, Noah A. Smith, Jaime G. Carbonell |
| 2016 | RECOMB | Multitask Matrix Completion for Learning Protein Interactions Across Diseases. | Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman, Keerthiram Murugesan |
| 2015 | AAAI | Unsupervised Phrasal Near-Synonym Generation from Text Corpora. | Dishan Gupta, Jaime G. Carbonell, Anatole Gershman, Steve Klein, David Miller |
| 2015 | ACL | Frame-Semantic Role Labeling with Heterogeneous Annotations. | Meghana Kshirsagar, Sam Thomson, Nathan Schneider, Jaime G. Carbonell, Noah A. Smith, Chris Dyer |
| 2015 | ACL | Automatic Keyword Extraction on Twitter. | Lus Marujo, Wang Ling, Isabel Trancoso, Chris Dyer, Alan W. Black, Anatole Gershman, David Martins de Matos, Joo Paulo da Silva Neto, Jaime G. Carbonell |
| 2015 | ALT | Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks. | Liu Yang, Steve Hanneke, Jaime G. Carbonell |
| 2015 | PSB | Refining Literature Curated Protein Interactions Using Expert Opinions. | znur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman |
| 2015 | WSDM | Concept Graph Learning from Educational Data. | Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma |
| 2014 | ACL | A Discriminative Graph-Based Parser for the Abstract Meaning Representation. | Jeffrey Flanigan, Sam Thomson, Jaime G. Carbonell, Chris Dyer, Noah A. Smith |
| 2014 | ACL | Cross-Lingual Information to the Rescue in Keyword Extraction. | Chung-Chi Huang, Maxine Esknazi, Jaime G. Carbonell, Lun-Wei Ku, Ping-Che Yang |
| 2014 | DSAA | Proactive learning with multiple class-sensitive labelers. | Seungwhan Moon, Jaime G. Carbonell |
| 2014 | HCOMP | Detecting Non-Adversarial Collusion in Crowdsourcing. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2014 | ICML | Saddle Points and Accelerated Perceptron Algorithms. | Adams Wei Yu, Fatma Kilin-Karzan, Jaime G. Carbonell |
| 2014 | LREC | Resources for the Detection of Conventionalized Metaphors in Four Languages. | Lori S. Levin, Teruko Mitamura, Brian MacWhinney, Davida Fromm, Jaime G. Carbonell, Weston Feely, Robert E. Frederking, Anatole Gershman, Carlos Ramrez |
| 2014 | SIGIR | Privacy-Preserving Important Passage Retrieval. | Lus Marujo, Jos Portelo, David Martins de Matos, Joo Paulo Neto, Anatole Gershman, Jaime G. Carbonell, Isabel Trancoso, Bhiksha Raj |
| 2013 | ACL | The Effects of Lexical Resource Quality on Preference Violation Detection. | Jesse Dunietz, Lori S. Levin, Jaime G. Carbonell |
| 2013 | NAACL | Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search. | Jeffrey Flanigan, Chris Dyer, Jaime G. Carbonell |
| 2013 | SIGIR | Self reinforcement for important passage retrieval. | Ricardo Ribeiro, Lus Marujo, David Martins de Matos, Joo Paulo Neto, Anatole Gershman, Jaime G. Carbonell |
| 2012 | CLUSTER | Fast Approximate Matching of Astronomical Objects. | Bin Fu, Eugene Fink, Garth A. Gibson, Jaime G. Carbonell |
| 2012 | COLING | Recognition of Named-Event Passages in News Articles. | Lus Marujo, Wang Ling, Anatole Gershman, Jaime G. Carbonell, Joo Paulo Neto, David Martins de Matos |
| 2012 | CSCW | Collaborative workflow for crowdsourcing translation. | Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell |
| 2012 | IAAI | Cost-Sensitive Risk Stratification in the Diagnosis of Heart Disease. | Selen Uguroglu, Mark Doyle, Robert Biederman, Jaime G. Carbonell |
| 2012 | LREC | Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization. | Lus Marujo, Anatole Gershman, Jaime G. Carbonell, Robert E. Frederking, Joo Paulo Neto |
| 2012 | PACBB | Parameter Influence in Genetic Algorithm Optimization of Support Vector Machines. | Paulo Gaspar, Jaime G. Carbonell, Jos Lus Oliveira |
| 2012 | SDM | Adaptive Multi-task Sparse Learning with an Application to fMRI Study. | Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbonell |
| 2011 | AAAI | Towards Task Recommendation in Micro-Task Markets. | Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell |
| 2011 | CICLING | Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2011 | CIKM | Modeling personalized email prioritization: classification-based and regression-based approaches. | Shinjae Yoo, Yiming Yang, Jaime G. Carbonell |
| 2011 | ICMLA | Statistical Learning for File-Type Identification. | Siddharth Gopal, Yiming Yang, Konstantin Salomatin, Jaime G. Carbonell |
| 2011 | SMC | SmartNotes: Application of crowdsourcing to the detection of web threats. | Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell |
| 2011 | SMC | Detection of Internet scam using logistic regression. | Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell |
| 2011 | UAI | Smoothing Proximal Gradient Method for General Structured Sparse Learning. | Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing |
| 2011 | SDM | Sparse Latent Semantic Analysis. | Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell |
| 2010 | AAAI | Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. | Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell |
| 2010 | ACL | Active Learning-Based Elicitation for Semi-Supervised Word Alignment. | Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell |
| 2010 | ALT | Bayesian Active Learning Using Arbitrary Binary Valued Queries. | Liu Yang, Steve Hanneke, Jaime G. Carbonell |
| 2010 | CIKM | Rank learning for factoid question answering with linguistic and semantic constraints. | Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Carbonell, Eric Nyberg |
| 2010 | COLING | Monolingual Distributional Profiles for Word Substitution in Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2010 | EAMT | Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2010 | EAMT | Chunk-Based EBMT. | Jae Dong Kim, Ralf D. Brown, Jaime G. Carbonell |
| 2010 | ICDM | Learning Preferences with Millions of Parameters by Enforcing Sparsity. | Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell |
| 2010 | ICDM | Rare Category Characterization. | Jingrui He, Hanghang Tong, Jaime G. Carbonell |
| 2010 | ICMLA | Automatic Detection of HIV Drug Resistance-Associated Mutations. | Betty Yee Man Cheng, Jaime G. Carbonell |
| 2010 | LREC | Active Learning and Crowd-Sourcing for Machine Translation. | Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell |
| 2010 | SMC | Learning of personalized security settings. | Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell |
| 2010 | SDM | A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. | Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider |
| 2010 | SDM | Co-selection of Features and Instances for Unsupervised Rare Category Analysis. | Jingrui He, Jaime G. Carbonell |
| 2010 | SDM | Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. | Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell |
| 2009 | ECIR | Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. | Pinar Donmez, Jaime G. Carbonell |
| 2009 | ICDM | Accelerated Gradient Method for Multi-task Sparse Learning Problem. | Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell |
| 2009 | KDD | Efficiently learning the accuracy of labeling sources for selective sampling. | Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider |
| 2009 | PSB | Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration. | znur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman |
| 2009 | SMC | Scheduling with uncertain resources: Representation of common knowledge. | Eugene Fink, Matt Jennings, Konstantin Salomatin, Jaime G. Carbonell |
| 2009 | SMC | Analysis of uncertain data: Smoothing of histograms. | Eugene Fink, Ankur Sarin, Jaime G. Carbonell |
| 2009 | SMC | Creating and visualizing fuzzy document classification. | Judith Gelernter, Dong Cao, Raymond Lu, Eugene Fink, Jaime G. Carbonell |
| 2009 | SMC | Analysis of uncertain data: Selection of probes for information gathering. | Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell |
| 2009 | SMC | Analysis of uncertain data: Evaluation of given hypotheses. | Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell |
| 2009 | SIGIR | It pays to be picky: an evaluation of thread retrieval in online forums. | Jonathan L. Elsas, Jaime G. Carbonell |
| 2009 | SDM | Prior-Free Rare Category Detection. | Jingrui He, Jaime G. Carbonell |
| 2008 | AAAI | RADAR: A Personal Assistant that Learns to Reduce Email Overload. | Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen F. Smith, Aaron Steinfeld, Anthony Tomasic |
| 2008 | CIKM | Suppressing outliers in pairwise preference ranking. | Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell |
| 2008 | CIKM | Proactive learning: cost-sensitive active learning with multiple imperfect oracles. | Pinar Donmez, Jaime G. Carbonell |
| 2008 | CIKM | Corpus microsurgery: criteria optimization for medical cross-language ir. | Monica Rogati, Yiming Yang, Jaime G. Carbonell |
| 2008 | ICML | Optimizing estimated loss reduction for active sampling in rank learning. | Pinar Donmez, Jaime G. Carbonell |
| 2008 | IJCNLP | Cluster-Based Query Expansion for Statistical Question Answering. | Lucian Vlad Lita, Jaime G. Carbonell |
| 2008 | ISAIM | Paired Sampling in Density-Sensitive Active Learning. | Pinar Donmez, Jaime G. Carbonell |
| 2008 | ISAIM | Rare Class Discovery Based on Active Learning. | Jingrui He, Jaime G. Carbonell |
| 2008 | ICWSM | Document Representation and Query Expansion Models for Blog Recommendation. | Jaime Arguello, Jonathan L. Elsas, Jamie Callan, Jaime G. Carbonell |
| 2008 | ISMIS | Predicate Indexing for Incremental Multi-Query Optimization. | Chun Jin, Jaime G. Carbonell |
| 2008 | LREC | Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages. | Christian Monson, Ariadna Font Llitjs, Vamshi Ambati, Lori S. Levin, Alon Lavie, Alison Alvarez, Roberto Aranovich, Jaime G. Carbonell, Robert E. Frederking, Erik Peterson, Katharina Probst |
| 2008 | SMC | Scheduling with uncertain resources: Learning to ask the right questions. | Alexander Carpentier, Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell |
| 2008 | SMC | Analysis of uncertain data: Tools for representation and processing. | Bin Fu, Eugene Fink, Jaime G. Carbonell |
| 2008 | SMC | Scheduling with uncertain resources: Learning to make reasonable assumptions. | Steven Gardiner, Eugene Fink, Jaime G. Carbonell |
| 2008 | SIGIR | Retrieval and feedback models for blog feed search. | Jonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell |
| 2008 | SIGIR | The impact of history length on personalized search. | Yangbo Zhu, Jamie Callan, Jaime G. Carbonell |
| 2008 | WSDM | Fast learning of document ranking functions with the committee perceptron. | Jonathan L. Elsas, Vitor R. Carvalho, Jaime G. Carbonell |
| 2007 | APBC | Combining N-grams and Alignment in G-protein Coupling Specificity Prediction. | Betty Yee Man Cheng, Jaime G. Carbonell |
| 2007 | CIKM | Genre identification and goal-focused summarization. | Jade Goldstein, Gary M. Ciany, Jaime G. Carbonell |
| 2007 | IJCAI | Graph-Based Semi-Supervised Learning as a Generative Model. | Jingrui He, Jaime G. Carbonell, Yan Liu |
| 2007 | IJCAI | Cluster-Based Selection of Statistical Answering Strategies. | Lucian Vlad Lita, Jaime G. Carbonell |
| 2007 | IJCAI | Protein Quaternary Fold Recognition Using Conditional Graphical Models. | Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele |
| 2007 | NAACL | Combining Probability-Based Rankers for Action-Item Detection. | Paul N. Bennett, Jaime G. Carbonell |
| 2006 | AMTA | Context-Based Machine Translation. | Jaime G. Carbonell, Steve Klein, David Miller, Mike Steinbaum, Tomer Grassiany, Jochen Frei |
| 2006 | IDEAS | ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams. | Chun Jin, Jaime G. Carbonell |
| 2006 | ISMIS | Incremental Aggregation on Multiple Continuous Queries. | Chun Jin, Jaime G. Carbonell |
| 2006 | NAACL | Spectral Clustering for Example Based Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2006 | SMC | Scheduling with Uncertain Resources: Representation and Utility Function. | Ulas Bardak, Eugene Fink, Jaime G. Carbonell |
| 2006 | SMC | Scheduling with Uncertain Resources: Elicitation of Additional Data. | Ulas Bardak, Eugene Fink, Chris R. Martens, Jaime G. Carbonell |
| 2006 | SMC | Scheduling with Uncertain Resources: Collaboration with the User. | Eugene Fink, Ulas Bardak, Brandon Rothrock, Jaime G. Carbonell |
| 2006 | SMC | Scheduling with Uncertain Resources: Search for a Near-Optimal Solution. | Eugene Fink, P. Matthew Jennings, Ulas Bardak, Jean Oh, Stephen F. Smith, Jaime G. Carbonell |
| 2005 | ACL | Symmetric Probabilistic Alignment. | Ralf D. Brown, Jae Dong Kim, Peter J. Jansen, Jaime G. Carbonell |
| 2005 | EAMT | Symmetric probabilistic alignment for example-based translation. | Jae Dong Kim, Ralf D. Brown, Peter J. Jansen, Jaime G. Carbonell |
| 2005 | EAMT | A framework for interactive and automatic refinement of transfer-based machine translation. | Ariadna Font Llitjs, Jaime G. Carbonell, Alon Lavie |
| 2005 | ICML | Predicting protein folds with structural repeats using a chain graph model. | Yan Liu, Eric P. Xing, Jaime G. Carbonell |
| 2005 | ISMIS | A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries. | Betty Yee Man Cheng, Jaime G. Carbonell, Judith Klein-Seetharaman |
| 2005 | ISMIS | ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams. | Chun Jin, Jaime G. Carbonell, Philip J. Hayes |
| 2005 | RECOMB | Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. | Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan |
| 2005 | SIGIR | Detecting action-items in e-mail. | Paul N. Bennett, Jaime G. Carbonell |
| 2004 | AMTA | Error Analysis of Two Types of Grammar for the Purpose of Automatic Rule Refinement. | Ariadna Font Llitjs, Katharina Probst, Jaime G. Carbonell |
| 2004 | CIKM | Unsupervised question answering data acquisition from local corpora. | Lucian Vlad Lita, Jaime G. Carbonell |
| 2004 | EAMT | Challenges in using an example-based MT system for a transnational digital government project. | Violetta Cavalli-Sforza, Ralf D. Brown, Jaime G. Carbonell, Peter G. Jansen, Jae Dong Kim |
| 2004 | EAMT | A trainable transfer-based MT approach for languages with limited resources. | Alon Lavie, Katharina Probst, Erik Peterson, Stephan Vogel, Lori S. Levin, Ariadna Font Llitjs, Jaime G. Carbonell |
| 2004 | EMNLP | Instance-Based Question Answering: A Data-Driven Approach. | Lucian Vlad Lita, Jaime G. Carbonell |
| 2004 | LREC | Developing Language Resources for a Transnational Digital Government System. | Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen |
| 2004 | LREC | The Translation Correction Tool: English-Spanish User Studies. | Ariadna Font Llitjs, Jaime G. Carbonell |
| 2004 | LREC | Data Collection and Analysis of Mapudungun Morphology for Spelling Correction. | Christian Monson, Lori S. Levin, Rodolfo Vega, Ralf D. Brown, Ariadna Font Llitjs, Alon Lavie, Jaime G. Carbonell, Eliseo Caulef, Rosendo Huisca |
| 2004 | SMC | Search for approximate matches in large databases. | Eugene Fink, Aaron Goldstein, Philip J. Hayes, Jaime G. Carbonell |
| 2004 | SIGIR | Context sensitive vocabulary and its application in protein secondary structure prediction. | Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan |
| 2003 | CIKM | Grand challenges for information management. | Jaime G. Carbonell |
| 2002 | AMTA | Automatic Rule Learning for Resource-Limited MT. | Jaime G. Carbonell, Katharina Probst, Erik Peterson, Christian Monson, Alon Lavie, Ralf D. Brown, Lori S. Levin |
| 2002 | CIKM | Boosting to correct inductive bias in text classification. | Yan Liu, Yiming Yang, Jaime G. Carbonell |
| 2002 | KDD | Topic-conditioned novelty detection. | Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin |
| 2000 | CIKM | Creating and Evaluating Multi-Document Sentence Extract Summaries. | Jade Goldstein, Vibhu O. Mittal, Jaime G. Carbonell, James P. Callan |
| 1999 | AAAI | Selecting Text Spans for Document Summaries: Heuristics and Metrics. | Vibhu O. Mittal, Mark Kantrowitz, Jade Goldstein, Jaime G. Carbonell |
| 1999 | SIGIR | Summarizing Text Documents: Sentence Selection and Evaluation Metrics. | Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, Jaime G. Carbonell |
| 1998 | SIGIR | The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. | Jaime G. Carbonell, Jade Goldstein |
| 1998 | SIGIR | A Study of Retrospective and On-Line Event Detection. | Yiming Yang, Thomas Pierce, Jaime G. Carbonell |
| 1997 | IJCAI | Translingual Information Retrieval: A Comparative Evaluation. | Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee |
| 1996 | AMTA | Panel: Next steps in MT research. | Lynn Carlson, Jaime G. Carbonell, David Farwell, Pierre Isabelle, Jackie Murgida, John O'Hara, Dekai Wu |
| 1995 | IJCAI | VERY Large Knowledge Bases - Architecture vs Engineering. | James A. Hendler, Jaime G. Carbonell, Douglas B. Lenat, Riichiro Mizoguchi, Paul S. Rosenbloom |
| 1994 | AMTA | PANGLOSS. | Jaime G. Carbonell, David Farwell, Robert E. Frederking, Stephen Helmreich, Eduard H. Hovy, Kevin Knight, Lori S. Levin, Sergei Nirenburg |
| 1994 | AMTA | KANT: Knowledge-Based, Accurate Natural Language Translation. | Teruko Mitamura, Eric Nyberg, Jaime G. Carbonell |
| 1994 | AMTA | Future Directions. | Joseph Pentheroudakis, Jaime G. Carbonell, Lutz Graunitz, Pierre Isabelle, Chris Montgomery, Alex Waibel |
| 1994 | COLING | Evaluation Metrics for Knowledge-Based Machine Translation. | Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell |
| 1994 | KR | Knowledge Representation Issues in Integrated Planning and Learning Systems (Abstract). | Jaime G. Carbonell |
| 1993 | SIGIR | Lessons from TIPSTER/SHOGUN/JANUS. | Jaime G. Carbonell |
| 1992 | ICTAI | Is Production System Match Interesting? | Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe |
| 1991 | NAACL | Session 3: Machine Translation. | Jaime G. Carbonell |
| 1990 | NAACL | Machine Translation Again? | Yorick Wilks, Jaime G. Carbonell, David Farwell, Eduard H. Hovy, Sergei Nirenburg |
| 1989 | IJCAI | Towards a General Framework for Composing Disjunctive and Iterative Macro-operators. | Peter Shell, Jaime G. Carbonell |
| 1989 | NAACL | White Paper on Natural Language Processing. | Ralph Weiscbedel, Jaime G. Carbonell, Barbara J. Grosz, Wendy Lehnert, Mitchell Marcus, Ray Perrault, Robert Wilensky |
| 1988 | COLING | Anaphora resolution: a multy-strategy approach. | Jaime G. Carbonell, Ralf D. Brown |
| 1987 | IJCAI | Strategies for Learning Search Control Rules: An Explanation-based Approach. | Steven Minton, Jaime G. Carbonell |
| 1987 | IJCAI | The Universal Parser Architecture for Knowledge-based Machine Translation. | Masaru Tomita, Jaime G. Carbonell |
| 1986 | AAAI | The FERMI System: Inducing Iterative Macro-Operators from Experience. | Patricia Cheng, Jaime G. Carbonell |
| 1986 | COLING | Parsing Spoken Language: A Semantic Caseframe Approach. | Philip J. Hayes, Alexander G. Hauptmann, Jaime G. Carbonell, Masaru Tomita |
| 1986 | COLING | Another Stride Towards Knowledge-Based Machine Translation. | Masaru Tomita, Jaime G. Carbonell |
| 1986 | COLING | Natural Language Interfaces - Ready for Commercial Success? | Wolfgang Wahlster, Jaime G. Carbonell, Gary G. Hendrix, Harry R. Tennant |
| 1986 | ISMIS | Analogical reasoning in planning and decision making. | Jaime G. Carbonell |
| 1984 | COLING | Is There Natural Language after Data Bases? | Jaime G. Carbonell |
| 1984 | COLING | Coping with Extragrammaticality. | Jaime G. Carbonell, Philip J. Hayes |
| 1983 | AAAI | Derivational Analogy and Its Role in Problem Solving. | Jaime G. Carbonell |
| 1983 | ACL | Discourse Pragmatics and Ellipsis Resolution in Task-Oriented Natural Language Interfaces. | Jaime G. Carbonell |
| 1983 | IJCAI | The XCALIBUR Project: A Natural Language Interface to Expert Systems. | Jaime G. Carbonell, W. Mark Boggs, Michael L. Mauldin, Peter G. Anick |
| 1983 | IJCAI | A Framework for Processing Corrections in Task-Oriented Dialogues. | Philip J. Hayes, Jaime G. Carbonell |
| 1982 | AAAI | Experiential Learning in Analogical Problem Solving. | Jaime G. Carbonell |
| 1981 | ACL | Dynamic Strategy Selection in Flexible Parsing. | Jaime G. Carbonell, Philip J. Hayes |
| 1981 | IJCAI | A Computational Model of Analogical Problem Solving. | Jaime G. Carbonell |
| 1981 | IJCAI | Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update. | Philip J. Hayes, Jaime G. Carbonell |
| 1980 | AAAI | DELTA-MIN: A Search-Control Method for Information-Gathering Problems. | Jaime G. Carbonell |
| 1980 | ACL | Metapher - A Key to Extensible Semantic Analysis. | Jaime G. Carbonell |
| 1980 | SIGMOD | Default Reasoning and Inheritance Mechanisms on Type Hierarchies. | Jaime G. Carbonell |
| 1980 | SIGMOD | Presentation (discussion). | L. Peter Deutsch, Jaime G. Carbonell, Charles Rich, Raymond Reiter, Hartmut Wedekind, Patrick J. Hayes |
| 1980 | SIGMOD | Consistency of Models (discussion). | John Miles Smith, Charles Rich, Jonathan J. King, Peter Hitchcock, Alexander Borgida, Jaime G. Carbonell |
| 1979 | ACL | Towards a Self-Extending Parser. | Jaime G. Carbonell |
| 1979 | IJCAI | Computer Models of Human Personality Traits. | Jaime G. Carbonell |
| 1979 | IJCAI | The Counterplanning Process: Reasoning under Adversity. | Jaime G. Carbonell |