default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTom M. Mitchell
Tom Michael Mitchell
Person information
- affiliation: Carnegie Mellon University, Machine Learning Department, Pittsburgh, PA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c157]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) 2024: 75-90- [c156]Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li:
SmartPlay : A Benchmark for LLMs as Intelligent Agents. ICLR 2024 - [c155]Steven Moore
, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S 2024: 122-133 - [c154]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S 2024: 547-549 - [i48]Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka:
Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. CoRR abs/2402.01108 (2024) - [i47]Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell:
AgentKit: Flow Engineering with Graphs, not Coding. CoRR abs/2404.11483 (2024) - [i46]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR abs/2404.17460 (2024) - [i45]Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR abs/2405.20526 (2024) - 2023
- [c153]Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell:
Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements. EC-TEL 2023: 383-398 - [c152]Amos Azaria, Tom M. Mitchell:
The Internal State of an LLM Knows When It's Lying. EMNLP (Findings) 2023: 967-976 - [c151]Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell:
Zero-shot Triplet Extraction by Template Infilling. IJCNLP (1) 2023: 272-284 - [c150]Daniel L. Silver, Tom M. Mitchell:
The Roles of Symbols in Neural-based AI: They are Not What You Think! NeSy 2023: 420-421 - [c149]Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell:
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. NeurIPS 2023 - [c148]Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: Studying Papers and Reasoning to play Games. NeurIPS 2023 - [p4]Daniel L. Silver, Tom M. Mitchell:
The Roles of Symbols in Neural-Based AI: They Are Not What You Think! Compendium of Neurosymbolic Artificial Intelligence 2023: 1-28 - [i44]Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell:
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. CoRR abs/2302.04449 (2023) - [i43]Daniel L. Silver, Tom M. Mitchell:
The Roles of Symbols in Neural-based AI: They are Not What You Think! CoRR abs/2304.13626 (2023) - [i42]Amos Azaria, Tom M. Mitchell:
The Internal State of an LLM Knows When its Lying. CoRR abs/2304.13734 (2023) - [i41]Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye:
Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. CoRR abs/2305.02412 (2023) - [i40]Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. CoRR abs/2305.15486 (2023) - [i39]Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR abs/2310.01420 (2023) - [i38]Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li:
SmartPlay : A Benchmark for LLMs as Intelligent Agents. CoRR abs/2310.01557 (2023) - 2022
- [j52]Mariya Toneva, Tom M. Mitchell, Leila Wehbe:
Combining computational controls with natural text reveals aspects of meaning composition. Nat. Comput. Sci. 2(11): 745-757 (2022) - [j51]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. Patterns 3(2): 100409 (2022) - [j50]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. Patterns 3(2): 100442 (2022) - [j49]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation in Bollywood and Hollywood. Patterns 3(4): 100486 (2022) - [j48]Abulhair Saparov, Tom M. Mitchell:
Towards General Natural Language Understanding with Probabilistic Worldbuilding. Trans. Assoc. Comput. Linguistics 10: 325-342 (2022) - [c147]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell:
Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health. SocInfo 2022: 159-180 - [c146]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. WebSci 2022: 269-278 - [i37]Robin Schmucker, Tom M. Mitchell:
Transferable Student Performance Modeling for Intelligent Tutoring Systems. CoRR abs/2202.03980 (2022) - 2021
- [c145]Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell:
Conversational Neuro-Symbolic Commonsense Reasoning. AAAI 2021: 4902-4911 - [c144]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. AAAI 2021: 14893-14901 - [c143]Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers:
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CHI 2021: 578:1-578:15 - [c142]Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. EMNLP (1) 2021: 7404-7418 - [c141]Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan:
WIT: Workshop on deriving Insights from user-generated Text. KDD 2021: 4131-4132 - [c140]Tom M. Mitchell:
Can We Replace Programming Languages by Natural Instruction? WI/IAT 2021: 3 - [i36]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. CoRR abs/2101.10112 (2021) - [i35]Toby Jia-Jun Li, Lindsay Popowski, Tom M. Mitchell, Brad A. Myers:
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components. CoRR abs/2101.11103 (2021) - [i34]Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood. CoRR abs/2102.09103 (2021) - [i33]Abulhair Saparov, Tom M. Mitchell:
A Generative Symbolic Model for More General Natural Language Understanding and Reasoning. CoRR abs/2105.02486 (2021) - [i32]Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos:
Coarse-to-Fine Curriculum Learning. CoRR abs/2106.04072 (2021) - [i31]Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell:
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. CoRR abs/2109.01753 (2021) - [i30]Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. CoRR abs/2109.08544 (2021) - 2020
- [j47]Amos Azaria, Shashank Srivastava, Jayant Krishnamurthy, Igor Labutov, Tom M. Mitchell:
An agent for learning new natural language commands. Auton. Agents Multi Agent Syst. 34(1): 6 (2020) - [c139]George Stoica, Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell, Barnabás Póczos:
Contextual Parameter Generation for Knowledge Graph Link Prediction. AAAI 2020: 3000-3008 - [c138]Toby Jia-Jun Li, Tom M. Mitchell, Brad A. Myers:
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations. ACL (demo) 2020: 215-223 - [c137]Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell:
Jelly Bean World: A Testbed for Never-Ending Learning. ICLR 2020 - [c136]Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell:
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. NeurIPS 2020 - [c135]Toby Jia-Jun Li, Jingya Chen, Haijun Xia, Tom M. Mitchell, Brad A. Myers:
Multi-Modal Repairs of Conversational Breakdowns in Task-Oriented Dialogs. UIST 2020: 1094-1107 - [i29]Emmanouil Antonios Platanios, Abulhair Saparov, Tom M. Mitchell:
Jelly Bean World: A Testbed for Never-Ending Learning. CoRR abs/2002.06306 (2020) - [i28]Toby Jia-Jun Li, Jingya Chen, Tom M. Mitchell, Brad A. Myers:
Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents. CoRR abs/2003.02622 (2020) - [i27]Emmanouil Antonios Platanios, Maruan Al-Shedivat, Eric P. Xing, Tom M. Mitchell:
Learning from Imperfect Annotations. CoRR abs/2004.03473 (2020) - [i26]Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell:
Conversational Neuro-Symbolic Commonsense Reasoning. CoRR abs/2006.10022 (2020) - [i25]Eric Horvitz, Tom M. Mitchell:
From Data to Knowledge to Action: A Global Enabler for the 21st Century. CoRR abs/2008.00045 (2020) - [i24]Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell:
Discovering Bilingual Lexicons in Polyglot Word Embeddings. CoRR abs/2008.13347 (2020) - [i23]Mariya Toneva, Otilia Stretcu, Barnabás Póczos, Leila Wehbe, Tom M. Mitchell:
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction. CoRR abs/2009.08424 (2020) - [i22]Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. CoRR abs/2010.02339 (2020)
2010 – 2019
- 2019
- [j46]Mrinmaya Sachan, Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks. Comput. Linguistics 45(4): 627-665 (2019) - [j45]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. 31(12): 2304-2318 (2019) - [c134]Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell:
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. ACL (1) 2019: 5137-5154 - [c133]Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. EMNLP/IJCNLP (1) 2019: 1129-1139 - [c132]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Learning to Ask for Conversational Machine Learning. EMNLP/IJCNLP (1) 2019: 4162-4172 - [c131]Dan Schwartz, Tom M. Mitchell:
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. NAACL-HLT (1) 2019: 43-57 - [c130]Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. NAACL-HLT (1) 2019: 1162-1172 - [c129]Fan Yang, Liu Leqi, Yifan Wu, Zachary Chase Lipton, Pradeep Ravikumar, Tom M. Mitchell, William W. Cohen:
Game Design for Eliciting Distinguishable Behavior. NeurIPS 2019: 4686-4695 - [c128]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. NeurIPS 2019: 15738-15749 - [c127]Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers:
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. UIST 2019: 577-589 - [i21]Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. CoRR abs/1902.08373 (2019) - [i20]Bishan Yang, Tom M. Mitchell:
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. CoRR abs/1902.09091 (2019) - [i19]Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabás Póczos, Tom M. Mitchell:
Competence-based Curriculum Learning for Neural Machine Translation. CoRR abs/1903.09848 (2019) - [i18]Dan Schwartz, Tom M. Mitchell:
Understanding language-elicited EEG data by predicting it from a fine-tuned language model. CoRR abs/1904.01548 (2019) - [i17]Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom Michael Mitchell:
Relating Simple Sentence Representations in Deep Neural Networks and the Brain. CoRR abs/1906.11861 (2019) - [i16]Toby Jia-Jun Li, Marissa Radensky, Justin Jia, Kirielle Singarajah, Tom M. Mitchell, Brad A. Myers:
PUMICE: A Multi-Modal Agent that Learns Concepts and Conditionals from Natural Language and Demonstrations. CoRR abs/1909.00031 (2019) - [i15]Zhichu Lu, Forough Arabshahi, Igor Labutov, Tom M. Mitchell:
Look-up and Adapt: A One-shot Semantic Parser. CoRR abs/1910.12197 (2019) - [i14]Zhiting Hu, Bowen Tan, Ruslan Salakhutdinov, Tom M. Mitchell, Eric P. Xing:
Learning Data Manipulation for Augmentation and Weighting. CoRR abs/1910.12795 (2019) - [i13]Fan Yang, Liu Leqi, Yifan Wu, Zachary C. Lipton, Pradeep Ravikumar, William W. Cohen, Tom M. Mitchell:
Game Design for Eliciting Distinguishable Behavior. CoRR abs/1912.06074 (2019) - 2018
- [j44]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018) - [c126]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Zero-shot Learning of Classifiers from Natural Language Quantification. ACL (1) 2018: 306-316 - [c125]Igor Labutov, Shashank Srivastava, Tom M. Mitchell:
LIA: A Natural Language Programmable Personal Assistant. EMNLP (Demonstration) 2018: 145-150 - [c124]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. EMNLP 2018: 425-435 - [c123]Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. EMNLP 2018: 1676-1690 - [c122]Mrinmaya Sachan, Kumar Avinava Dubey, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems. NeurIPS 2018: 140-151 - [c121]Toby Jia-Jun Li, Igor Labutov, Xiaohan Nancy Li, Xiaoyi Zhang, Wenze Shi, Wanling Ding, Tom M. Mitchell, Brad A. Myers:
APPINITE: A Multi-Modal Interface for Specifying Data Descriptions in Programming by Demonstration Using Natural Language Instructions. VL/HCC 2018: 105-114 - [p3]Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky, Tom M. Mitchell:
Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents. Studies in Conversational UX Design 2018: 119-137 - [e2]Shouyi Wang, Vicky Yamamoto, Jianzhong Su, Yang Yang, Erick Jones, Leon D. Iasemidis, Tom M. Mitchell:
Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings. Lecture Notes in Computer Science 11309, Springer 2018, ISBN 978-3-030-05586-8 [contents] - [i12]Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. CoRR abs/1808.08493 (2018) - [i11]Mrinmaya Sachan, Kumar Avinava Dubey, Eduard H. Hovy, Tom M. Mitchell, Dan Roth, Eric P. Xing:
Discourse in Multimedia: A Case Study in Information Extraction. CoRR abs/1811.05546 (2018) - 2017
- [j43]Sneha Chaudhari, Amos Azaria, Tom M. Mitchell:
An entity graph based Recommender System. AI Commun. 30(2): 141-149 (2017) - [c120]Bishan Yang, Tom M. Mitchell:
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading. ACL (1) 2017: 1436-1446 - [c119]Abulhair Saparov, Vijay A. Saraswat, Tom M. Mitchell:
A Probabilistic Generative Grammar for Semantic Parsing. CoNLL 2017: 248-259 - [c118]Bishan Yang, Tom M. Mitchell:
A Joint Sequential and Relational Model for Frame-Semantic Parsing. EMNLP 2017: 1247-1256 - [c117]Shashank Srivastava, Igor Labutov, Tom M. Mitchell:
Joint Concept Learning and Semantic Parsing from Natural Language Explanations. EMNLP 2017: 1527-1536 - [c116]Shashank Srivastava, Amos Azaria, Tom M. Mitchell:
Parsing Natural Language Conversations using Contextual Cues. IJCAI 2017: 4089-4095 - [c115]Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz:
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. NIPS 2017: 4361-4370 - [c114]Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos:
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM 2017: 216-227 - [c113]Jerónimo Hernández-González, Estevam R. Hruschka Jr., Tom M. Mitchell:
Merging knowledge bases in different languages. TextGraphs@ACL 2017: 21-29 - [i10]Emmanouil A. Platanios, Hoifung Poon, Tom M. Mitchell, Eric Horvitz:
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach. CoRR abs/1705.07086 (2017) - 2016
- [j42]Evangelos E. Papalexakis, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Partha Pratim Talukdar, Brian Murphy:
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications. Stat. Anal. Data Min. 9(4): 269-290 (2016) - [c112]Amos Azaria, Jayant Krishnamurthy, Tom M. Mitchell:
Instructable Intelligent Personal Agent. AAAI 2016: 2681-2689 - [c111]Shashank Srivastava, Snigdha Chaturvedi, Tom M. Mitchell:
Inferring Interpersonal Relations in Narrative Summaries. AAAI 2016: 2807-2813 - [c110]Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha Pratim Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell:
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. ICDM 2016: 871-876 - [c109]Emmanouil Antonios Platanios, Avinava Dubey, Tom M. Mitchell:
Estimating Accuracy from Unlabeled Data: A Bayesian Approach. ICML 2016: 1416-1425 - [c108]Bishan Yang, Tom M. Mitchell:
Joint Extraction of Events and Entities within a Document Context. HLT-NAACL 2016: 289-299 - [c107]Derry Tanti Wijaya, Tom M. Mitchell:
Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua. HLT-NAACL 2016: 818-827 - [c106]Sneha Chaudhari, Amos Azaria, Tom M. Mitchell:
An Entity Graph Based Recommender System. RecSys Posters 2016 - [i9]Bishan Yang, Ndapandula Nakashole, Bryan Kisiel, Emmanouil A. Platanios, Abulhair Saparov, Shashank Srivastava, Derry Wijaya, Tom M. Mitchell:
CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. TAC 2016 - [i8]Abulhair Saparov, Tom M. Mitchell:
A Probabilistic Generative Grammar for Semantic Parsing. CoRR abs/1606.06361 (2016) - [i7]Bishan Yang, Tom M. Mitchell:
Joint Extraction of Events and Entities within a Document Context. CoRR abs/1609.03632 (2016) - [i6]Ndapandula Nakashole, Tom M. Mitchell:
Machine Reading with Background Knowledge. CoRR abs/1612.05348 (2016) - 2015
- [j41]Jayant Krishnamurthy, Tom M. Mitchell:
Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary. Trans. Assoc. Comput. Linguistics 3: 257-270 (2015) - [c105]Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling:
Never-Ending Learning. AAAI 2015: 2302-2310 - [c104]Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell:
Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. AAAI Spring Symposia 2015 - [c103]Ndapandula Nakashole, Tom M. Mitchell:
A Knowledge-Intensive Model for Prepositional Phrase Attachment. ACL (1) 2015: 365-375 - [c102]Xinlei Chen, Alan Ritter, Abhinav Gupta, Tom M. Mitchell:
Sense discovery via co-clustering on images and text. CVPR 2015: 5298-5306 - [c101]Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell:
"A Spousal Relation Begins with a Deletion of engage and Ends with an Addition of divorce": Learning State Changing Verbs from Wikipedia Revision History. EMNLP 2015: 518-523 - [c100]Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu:
Translation Invariant Word Embeddings. EMNLP 2015: 1084-1088 - [c99]