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Tom Mitchell

44 papers · 2011–2024 · 14 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (66) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (14) 🌟 Keyword Trendsetter Combo (6) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (138) πŸ”₯ Unstoppable (11) ❓ The Questioner πŸ’Ž Century Club (44)

Conferences

EMNLP (18) ACL (5) AAAI (3) CONLL (3) IJCNLP (3) ICLR (2) IJCAI (2) NAACL (2) AACL (1) AISTATS (1) COLING (1) CVPR (1) ICML (1) SEMEVAL (1)

Top co-authors

Igor Labutov (8) Partha Talukdar (6) Shashank Srivastava (6) Emmanouil Antonios Platanios (5) Matt Gardner (4) Jayant Krishnamurthy (4) Forough Arabshahi (4) Brian Murphy (3) Bishan Yang (3) Estevam Hruschka (3)

Keywords

semantic parsing (6) semantic parser (3) conversational learning (3) multi-hop reasoning (2) active learning (2) graphical model (2) logical form adaptation (2) logical form (2) question asking (2) neural machine translation (2) knowledge base (2) bayesian inference (2) reinforcement learning (2) curriculum learning (1) structured prediction (1) link prediction (1) domain adaptation (1) zero-shot learning (1) domain generalization (1) social media analysis (1)

Papers

SmartPlay : A Benchmark for LLMs as Intelligent Agents ICLR 2024
Zero-shot Triplet Extraction by Template Infilling IJCNLP 2023
The Internal State of an LLM Knows When It’s Lying EMNLP 2023
Zero-shot Triplet Extraction by Template Infilling AACL 2023
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules EMNLP 2021
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation AAAI 2021
Conversational Neuro-Symbolic Commonsense Reasoning AAAI 2021
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations ACL 2020
Contextual Parameter Generation for Knowledge Graph Link Prediction AAAI 2020
Jelly Bean World: A Testbed for Never-Ending Learning ICLR 2020
Learning to Ask for Conversational Machine Learning IJCNLP 2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain ACL 2019
Learning to Ask for Conversational Machine Learning EMNLP 2019
Look-up and Adapt: A One-shot Semantic Parser EMNLP 2019
Look-up and Adapt: A One-shot Semantic Parser IJCNLP 2019
Understanding language-elicited EEG data by predicting it from a fine-tuned language model NAACL 2019
Competence-based Curriculum Learning for Neural Machine Translation NAACL 2019
LIA: A Natural Language Programmable Personal Assistant EMNLP 2018
Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018
Zero-shot Learning of Classifiers from Natural Language Quantification ACL 2018
Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP 2018
Leveraging Knowledge Bases in LSTMs for Improving Machine Reading ACL 2017
A Probabilistic Generative Grammar for Semantic Parsing CONLL 2017
A Joint Sequential and Relational Model for Frame-Semantic Parsing EMNLP 2017
Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP 2017
Parsing Natural Language Conversations using Contextual Cues IJCAI 2017
Estimating Accuracy from Unlabeled Data: A Bayesian Approach ICML 2016
β€œA 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
Translation Invariant Word Embeddings EMNLP 2015
Sense Discovery via Co-Clustering on Images and Text CVPR 2015
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand IJCAI 2015
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction EMNLP 2015
Aligning context-based statistical models of language with brain activity during reading EMNLP 2014
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases EMNLP 2014
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition CONLL 2013
Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues EMNLP 2013
Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding COLING 2012
Weakly Supervised Training of Semantic Parsers EMNLP 2012
Hierarchical Latent Dictionaries for Models of Brain Activation AISTATS 2012
Selecting Corpus-Semantic Models for Neurolinguistic Decoding SEMEVAL 2012
Weakly Supervised Training of Semantic Parsers CONLL 2012
Which Noun Phrases Denote Which Concepts? ACL 2011
Random Walk Inference and Learning in A Large Scale Knowledge Base EMNLP 2011
Discovering Relations between Noun Categories EMNLP 2011