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#ACL2020
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Raymond Mooney
Number of Papers:- 60
Number of Citations:- 962
First ACL Paper:- 1996
Latest ACL Paper:- 2020
Venues:-
IJCNLP
WS
CoNLL
EACL
AACL
CL
HLT
VLC
IWCS
COLING
*SEMEVAL
EMNLP
NAACL
ACL
RoboNLP
Co-Authors:-
Adriana Kovashka
Aishwarya Padmakumar
Arun Ramani
Chris Brew
Chris Quirk
Similar Authors:-
Tetsuro Chino
Edgar Garcia Cano
Sebastian Ganslandt
Jakob Jorwall
R I Bainbridge
2020
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1996
Learning to Update Natural Language Comments Based on Code Changes
ACL
Sheena Panthaplackel |
Pengyu Nie |
Milos Gligoric |
Junyi Jessy Li |
Raymond Mooney |
Systematic Generalization on gSCAN with Language Conditioned Embedding
AACL
Tong Gao |
Qi Huang |
Raymond Mooney |
Generating Question Relevant Captions to Aid Visual Question Answering
ACL
Jialin Wu |
Zeyuan Hu |
Raymond Mooney |
Do Human Rationales Improve Machine Explanations?
ACL
WS
Julia Strout |
Ye Zhang |
Raymond Mooney |
Faithful Multimodal Explanation for Visual Question Answering
ACL
WS
Jialin Wu |
Raymond Mooney |
Learning a Policy for Opportunistic Active Learning
EMNLP
Aishwarya Padmakumar |
Peter Stone |
Raymond Mooney |
Stacking with Auxiliary Features for Visual Question Answering
NAACL
Nazneen Fatema Rajani |
Raymond Mooney |
Integrated Learning of Dialog Strategies and Semantic Parsing
EACL
Aishwarya Padmakumar |
Jesse Thomason |
Raymond J. Mooney |
Leveraging Discourse Information Effectively for Authorship Attribution
IJCNLP
Elisa Ferracane |
Su Wang |
Raymond Mooney |
Improving Black-box Speech Recognition using Semantic Parsing
IJCNLP
Rodolfo Corona |
Jesse Thomason |
Raymond Mooney |
Dialog for Language to Code
IJCNLP
Shobhit Chaurasia |
Raymond J. Mooney |
Guiding Interaction Behaviors for Multi-modal Grounded Language Learning
RoboNLP
WS
Jesse Thomason |
Jivko Sinapov |
Raymond Mooney |
Combining Supervised and Unsupervised Enembles for Knowledge Base Population
EMNLP
Nazneen Fatema Rajani |
Raymond Mooney |
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text
EMNLP
Subhashini Venugopalan |
Lisa Anne Hendricks |
Raymond Mooney |
Kate Saenko |
Representing Meaning with a Combination of Logical and Distributional Models
CL
I. Beltagy |
Stephen Roller |
Pengxiang Cheng |
Katrin Erk |
Raymond J. Mooney |
Using Sentence-Level LSTM Language Models for Script Inference
ACL
Karl Pichotta |
Raymond J. Mooney |
Statistical Script Learning with Recurrent Neural Networks
WS
Karl Pichotta |
Raymond Mooney |
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
NAACL
Subhashini Venugopalan |
Huijuan Xu |
Jeff Donahue |
Marcus Rohrbach |
Raymond Mooney |
Kate Saenko |
Stacked Ensembles of Information Extractors for Knowledge-Base Population
ACL
IJCNLP
Vidhoon Viswanathan |
Nazneen Fatema Rajani |
Yinon Bentor |
Raymond Mooney |
Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes
ACL
IJCNLP
Chris Quirk |
Raymond Mooney |
Michel Galley |
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild
COLING
Jesse Thomason |
Subhashini Venugopalan |
Sergio Guadarrama |
Kate Saenko |
Raymond Mooney |
Statistical Script Learning with Multi-Argument Events
EACL
Karl Pichotta |
Raymond Mooney |
Probabilistic Soft Logic for Semantic Textual Similarity
ACL
Islam Beltagy |
Katrin Erk |
Raymond Mooney |
UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic
*SEMEVAL
Islam Beltagy |
Stephen Roller |
Gemma Boleda |
Katrin Erk |
Raymond Mooney |
Semantic Parsing using Distributional Semantics and Probabilistic Logic
WS
Islam Beltagy |
Katrin Erk |
Raymond Mooney |
Detecting Promotional Content in Wikipedia
EMNLP
Shruti Bhosale |
Heath Vinicombe |
Raymond Mooney |
Adapting Discriminative Reranking to Grounded Language Learning
ACL
Joohyun Kim |
Raymond Mooney |
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
*SEMEVAL
Islam Beltagy |
Cuong Chau |
Gemma Boleda |
Dan Garrette |
Katrin Erk |
Raymond Mooney |
Generating Natural-Language Video Descriptions Using Text-Mined Knowledge
WS
Niveda Krishnamoorthy |
Girish Malkarnenkar |
Raymond Mooney |
Kate Saenko |
Sergio Guadarrama |
Unsupervised PCFG Induction for Grounded Language Learning with Highly Ambiguous Supervision
CoNLL
EMNLP
Joohyun Kim |
Raymond Mooney |
Learning Language from Perceptual Context
EACL
Raymond Mooney |
Learning to “Read Between the Lines” using Bayesian Logic Programs
ACL
Sindhu Raghavan |
Raymond Mooney |
Hyeonseo Ku |
Cross-Cutting Models of Lexical Semantics
EMNLP
Joseph Reisinger |
Raymond Mooney |
Implementing Weighted Abduction in Markov Logic
IWCS
WS
James Blythe |
Jerry Hobbs |
Pedro Domingos |
Rohit Kate |
Raymond Mooney |
Integrating Logical Representations with Probabilistic Information using Markov Logic
IWCS
WS
Dan Garrette |
Katrin Erk |
Raymond Mooney |
Learning to Predict Readability using Diverse Linguistic Features
COLING
Rohit Kate |
Xiaoqiang Luo |
Siddharth Patwardhan |
Martin Franz |
Radu Florian |
Raymond Mooney |
Salim Roukos |
Chris Welty |
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
COLING
Joohyun Kim |
Raymond Mooney |
A Mixture Model with Sharing for Lexical Semantics
EMNLP
Joseph Reisinger |
Raymond Mooney |
Multi-Prototype Vector-Space Models of Word Meaning
NAACL
Joseph Reisinger |
Raymond J. Mooney |
Authorship Attribution Using Probabilistic Context-Free Grammars
ACL
Sindhu Raghavan |
Adriana Kovashka |
Raymond Mooney |
Joint Entity and Relation Extraction Using Card-Pyramid Parsing
CoNLL
WS
Rohit J. Kate |
Raymond Mooney |
Learning a Compositional Semantic Parser using an Existing Syntactic Parser
ACL
IJCNLP
Ruifang Ge |
Raymond Mooney |
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
NAACL
Yuk Wah Wong |
Raymond Mooney |
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
NAACL
Rohit Kate |
Raymond Mooney |
Learning to Extract Relations from the Web using Minimal Supervision
ACL
Razvan Bunescu |
Raymond Mooney |
Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
ACL
Yuk Wah Wong |
Raymond Mooney |
Learning for Semantic Parsing with Statistical Machine Translation
HLT
NAACL
Yuk Wah Wong |
Raymond Mooney |
Using String-Kernels for Learning Semantic Parsers
ACL
COLING
Rohit J. Kate |
Raymond J. Mooney |
Discriminative Reranking for Semantic Parsing
ACL
COLING
Ruifang Ge |
Raymond J. Mooney |
Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline
WS
Razvan Bunescu |
Raymond Mooney |
Arun Ramani |
Edward Marcotte |
A Shortest Path Dependency Kernel for Relation Extraction
EMNLP
HLT
Razvan Bunescu |
Raymond Mooney |
A Statistical Semantic Parser that Integrates Syntax and Semantics
CoNLL
WS
Ruifang Ge |
Raymond Mooney |
Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions
WS
Arun Ramani |
Razvan Bunescu |
Raymond Mooney |
Edward Marcotte |
Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing
EMNLP
HLT
Raymond Mooney |
Chris Brew |
Lee-Feng Chien |
Katrin Kirchhoff |
Collective Information Extraction with Relational Markov Networks
ACL
Razvan Bunescu |
Raymond Mooney |
Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing
EMNLP
WS
Lappoon R. Tang |
Raymond J. Mooney |
Semantic Lexicon Acquisition for Learning Natural Language Interfaces
VLC
WS
Cynthia A. Thompson |
Raymond J. Mooney |
Learning Parse and Translation Decisions from Examples with Rich Context
ACL
EACL
Ulf Hermjakob |
Raymond J. Mooney |
Relational Learning of Pattern-Match Rules for Information Extraction
CoNLL
WS
Mary Elaine Califf |
Raymond J. Mooney |
Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning
EMNLP
WS
Raymond J. Mooney |
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