Tom Mitchell

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

Achievements

+12 more ↓

🌍 Conference Polyglot (14) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (13)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (14) 🌟 Keyword Trendsetter Combo (6) 🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter ⚡ Prolific Year (7) 🗃️ Keyword Collector (138) 🔥 Unstoppable (11) ❓ The Questioner 💎 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 “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 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