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Tom Mitchell
Number of Papers:- 41
Number of Citations:- 324
First ACL Paper:- 2004
Latest ACL Paper:- 2020
Venues:-
EMNLP
*SEMEVAL
IJCNLP
NAACL
WS
TACL
COLING
CoNLL
ACL
TextGraphs
Co-Authors:-
Abulhair Saparov
Alona Fyshe
Andrew Carlson
Ashish Vaswani
Barnabas Poczos1
Similar Authors:-
Dinh Phung
Peter Foldiak
Hwiyeol Jo
Stanley Jungkyu Choi
Yanrong Wu
2020
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2009
2004
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
Emmanouil Antonios Platanios |
Otilia Stretcu |
Graham Neubig |
Barnabas Poczos |
Tom Mitchell |
Relating Simple Sentence Representations in Deep Neural Networks and the Brain
ACL
Sharmistha Jat |
Hao Tang |
Partha Talukdar |
Tom Mitchell |
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
Kejun Huang |
Matt Gardner |
Evangelos Papalexakis |
Christos Faloutsos |
Nikos Sidiropoulos |
Tom Mitchell |
Partha P. Talukdar |
Xiao Fu |
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction
EMNLP
Matt Gardner |
Tom Mitchell |
A Compositional and Interpretable Semantic Space
NAACL
Alona Fyshe |
Leila Wehbe |
Partha P. Talukdar |
Brian Murphy |
Tom M. Mitchell |
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 |
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