NLPExplorer

Tom Mitchell

Number of Papers:- 43

Number of Citations:- 324

First ACL Paper:- 2004

Latest ACL Paper:- 2021

Venues:-

EMNLP

CoNLL

TextGraphs

NAACL

IJCNLP

COLING

*SEMEVAL

ACL

TACL

Co-Authors:-

Similar Authors:-

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules EMNLP

Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations ACL

Toby Jia-Jun Li | Tom Mitchell | Brad Myers |

Look-up and Adapt: A One-shot Semantic Parser EMNLP

Zhichu Lu | Forough Arabshahi | Igor Labutov | Tom Mitchell |

Learning to Ask for Conversational Machine Learning EMNLP

Shashank Srivastava | Igor Labutov | Tom Mitchell |

Understanding language-elicited EEG data by predicting it from a fine-tuned language model NAACL

Dan Schwartz | Tom Mitchell |

Competence-based Curriculum Learning for Neural Machine Translation NAACL

Relating Simple Sentence Representations in Deep Neural Networks and the Brain ACL

Sharmistha Jat | Hao Tang | Partha Talukdar | Tom Mitchell |

Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks CL

Contextual Parameter Generation for Universal Neural Machine Translation EMNLP

Emmanouil Antonios Platanios | Mrinmaya Sachan | Graham Neubig | Tom Mitchell |

Learning to Learn Semantic Parsers from Natural Language Supervision EMNLP

Igor Labutov | Bishan Yang | Tom Mitchell |

LIA: A Natural Language Programmable Personal Assistant EMNLP

Igor Labutov | Shashank Srivastava | Tom Mitchell |

Zero-shot Learning of Classifiers from Natural Language Quantification ACL

Shashank Srivastava | Igor Labutov | Tom Mitchell |

A Joint Sequential and Relational Model for Frame-Semantic Parsing EMNLP

Bishan Yang | Tom Mitchell |

Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP

Shashank Srivastava | Igor Labutov | Tom Mitchell |

A Probabilistic Generative Grammar for Semantic Parsing CoNLL

Abulhair Saparov | Vijay Saraswat | Tom Mitchell |

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading ACL

Bishan Yang | Tom Mitchell |

Merging knowledge bases in different languages TextGraphs WS

Jerónimo Hernández-González | Estevam R. Hruschka Jr. | Tom M. Mitchell |

Joint Extraction of Events and Entities within a Document Context NAACL

Bishan Yang | Tom M. Mitchell |

Mapping Verbs in Different Languages to Knowledge Base Relations using Web Text as Interlingua NAACL

Derry Tanti Wijaya | 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

Derry Tanti Wijaya | Ndapandula Nakashole | Tom Mitchell |

Translation Invariant Word Embeddings EMNLP

Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction EMNLP

Matt Gardner | Tom Mitchell |

A Compositional and Interpretable Semantic Space NAACL

A Knowledge-Intensive Model for Prepositional Phrase Attachment ACL IJCNLP

Ndapandula Nakashole | Tom M. Mitchell |

Learning a Compositional Semantics for Freebase with an Open Predicate Vocabulary TACL

Jayant Krishnamurthy | Tom M. Mitchell |

Aligning context-based statistical models of language with brain activity during reading EMNLP

Leila Wehbe | Ashish Vaswani | Kevin Knight | Tom Mitchell |

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases EMNLP

Matt Gardner | Partha Talukdar | Jayant Krishnamurthy | Tom Mitchell |

CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection EMNLP

Derry Tanti Wijaya | Ndapandula Nakashole | Tom M. Mitchell |

Interpretable Semantic Vectors from a Joint Model of Brain- and Text- Based Meaning ACL

Alona Fyshe | Partha P. Talukdar | Brian Murphy | Tom M. Mitchell |

Language-Aware Truth Assessment of Fact Candidates ACL

Ndapandula Nakashole | Tom M. Mitchell |

Joint Syntactic and Semantic Parsing with Combinatory Categorial Grammar ACL

Jayant Krishnamurthy | Tom M. Mitchell |

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues EMNLP

Matt Gardner | Partha Pratim Talukdar | Bryan Kisiel | Tom Mitchell |

Vector Space Semantic Parsing: A Framework for Compositional Vector Space Models WS

Jayant Krishnamurthy | Tom Mitchell |

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition CoNLL WS

Alona Fyshe | Brian Murphy | Partha Talukdar | Tom Mitchell |

Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding COLING

Brian Murphy | Partha Talukdar | Tom Mitchell |

Weakly Supervised Training of Semantic Parsers CoNLL EMNLP

Jayant Krishnamurthy | Tom Mitchell |

Selecting Corpus-Semantic Models for Neurolinguistic Decoding *SEMEVAL

Brian Murphy | Partha Talukdar | Tom Mitchell |

Random Walk Inference and Learning in A Large Scale Knowledge Base EMNLP

Ni Lao | Tom Mitchell | William W. Cohen |

Discovering Relations between Noun Categories EMNLP

Thahir Mohamed | Estevam Hruschka | Tom Mitchell |

Which Noun Phrases Denote Which Concepts? ACL

Jayant Krishnamurthy | Tom Mitchell |

Quantitative modeling of the neural representation of adjective-noun phrases to account for fMRI activation ACL IJCNLP

Kai-min K. Chang | Vladimir L. Cherkassky | Tom M. Mitchell | Marcel Adam Just |

Coupling Semi-Supervised Learning of Categories and Relations WS

Andrew Carlson | Justin Betteridge | Estevam Rafael Hruschka Junior | Tom M. Mitchell |

Learning to Classify Email into “Speech Acts” EMNLP WS

William W. Cohen | Vitor R. Carvalho | Tom M. Mitchell |