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#ACL2020
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Sameer Singh
Number of Papers:- 39
Number of Citations:- 119
First ACL Paper:- 2010
Latest ACL Paper:- 2020
Venues:-
TACL
COLING
ACL
WS
LatentVar
EMNLP
CoNLL
NAACL
Co-Authors:-
Alon Talmor
Amarnag Subramanya
Ananth Gottumukkala
Ananya
Andrew Mccallum
Similar Authors:-
Lucia Yin
Ayunni Alawi
Rashmi Patel
Sondes Bannour
Henry Soldano
2020
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2017
2016
2015
2014
2013
2012
2011
2010
On Importance Sampling-Based Evaluation of Latent Language Models
ACL
Robert L Logan IV |
Matt Gardner |
Sameer Singh |
Obtaining Faithful Interpretations from Compositional Neural Networks
ACL
Sanjay Subramanian |
Ben Bogin |
Nitish Gupta |
Tomer Wolfson |
Sameer Singh |
Jonathan Berant |
Matt Gardner |
Benefits of Intermediate Annotations in Reading Comprehension
ACL
Dheeru Dua |
Sameer Singh |
Matt Gardner |
Dynamic Sampling Strategies for Multi-Task Reading Comprehension
ACL
Ananth Gottumukkala |
Dheeru Dua |
Sameer Singh |
Matt Gardner |
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
ACL
Marco Tulio Ribeiro |
Tongshuang Wu |
Carlos Guestrin |
Sameer Singh |
Knowledge Enhanced Contextual Word Representations
EMNLP
Matthew E. Peters |
Mark Neumann |
Robert Logan |
Roy Schwartz |
Vidur Joshi |
Sameer Singh |
Noah A. Smith |
Universal Adversarial Triggers for Attacking and Analyzing NLP
EMNLP
Eric Wallace |
Shi Feng |
Nikhil Kandpal |
Matt Gardner |
Sameer Singh |
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
EMNLP
Eric Wallace |
Yizhong Wang |
Sujian Li |
Sameer Singh |
Matt Gardner |
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
EMNLP
Eric Wallace |
Jens Tuyls |
Junlin Wang |
Sanjay Subramanian |
Matt Gardner |
Sameer Singh |
Evaluating Question Answering Evaluation
EMNLP
WS
Anthony Chen |
Gabriel Stanovsky |
Sameer Singh |
Matt Gardner |
Comprehensive Multi-Dataset Evaluation of Reading Comprehension
EMNLP
WS
Dheeru Dua |
Ananth Gottumukkala |
Alon Talmor |
Matt Gardner |
Sameer Singh |
PoMo: Generating Entity-Specific Post-Modifiers in Context
NAACL
Jun Seok Kang |
Robert Logan |
Zewei Chu |
Yang Chen |
Dheeru Dua |
Kevin Gimpel |
Sameer Singh |
Niranjan Balasubramanian |
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
NAACL
Dheeru Dua |
Yizhong Wang |
Pradeep Dasigi |
Gabriel Stanovsky |
Sameer Singh |
Matt Gardner |
GenderQuant: Quantifying Mention-Level Genderedness
NAACL
Ananya |
Nitya Parthasarthi |
Sameer Singh |
Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
NAACL
Pouya Pezeshkpour |
Yifan Tian |
Sameer Singh |
Deep Adversarial Learning for NLP
NAACL
William Yang Wang |
Sameer Singh |
Jiwei Li |
Compositional Questions Do Not Necessitate Multi-hop Reasoning
ACL
Sewon Min |
Eric Wallace |
Sameer Singh |
Matt Gardner |
Hannaneh Hajishirzi |
Luke Zettlemoyer |
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling
ACL
Robert Logan |
Nelson F. Liu |
Matthew E. Peters |
Matt Gardner |
Sameer Singh |
Are Red Roses Red? Evaluating Consistency of Question-Answering Models
ACL
Marco Tulio Ribeiro |
Carlos Guestrin |
Sameer Singh |
Interpretation of Natural Language Rules in Conversational Machine Reading
EMNLP
Marzieh Saeidi |
Max Bartolo |
Patrick Lewis |
Sameer Singh |
Tim Rocktäschel |
Mike Sheldon |
Guillaume Bouchard |
Sebastian Riedel |
Embedding Multimodal Relational Data for Knowledge Base Completion
EMNLP
Pouya Pezeshkpour |
Liyan Chen |
Sameer Singh |
Semantically Equivalent Adversarial Rules for Debugging NLP models
ACL
Marco Tulio Ribeiro |
Sameer Singh |
Carlos Guestrin |
Entity Linking via Joint Encoding of Types, Descriptions, and Context
EMNLP
Nitish Gupta |
Sameer Singh |
Dan Roth |
Better call Saul: Flexible Programming for Learning and Inference in NLP
COLING
Parisa Kordjamshidi |
Daniel Khashabi |
Christos Christodoulopoulos |
Bhargav Mangipudi |
Sameer Singh |
Dan Roth |
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
NAACL
Marco Ribeiro |
Sameer Singh |
Carlos Guestrin |
Connotation Frames: A Data-Driven Investigation
ACL
Hannah Rashkin |
Sameer Singh |
Yejin Choi |
Proceedings of the 5th Workshop on Automated Knowledge Base Construction
WS
Jay Pujara |
Tim Rocktaschel |
Danqi Chen |
Sameer Singh |
Injecting Logical Background Knowledge into Embeddings for Relation Extraction
NAACL
Tim Rocktäschel |
Sameer Singh |
Sebastian Riedel |
WOLFE: An NLP-friendly Declarative Machine Learning Stack
NAACL
Sameer Singh |
Tim Rocktäschel |
Luke Hewitt |
Jason Naradowsky |
Sebastian Riedel |
Design Challenges for Entity Linking
TACL
Xiao Ling |
Sameer Singh |
Daniel S. Weld |
Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction
LatentVar
WS
Sameer Singh |
Tim Rocktäschel |
Sebastian Riedel |
Low-Dimensional Embeddings of Logic
WS
Tim Rocktäschel |
Matko Bosnjak |
Sameer Singh |
Sebastian Riedel |
Dynamic Knowledge-Base Alignment for Coreference Resolution
CoNLL
WS
Jiaping Zheng |
Luke Vilnis |
Sameer Singh |
Jinho D. Choi |
Andrew McCallum |
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
CoNLL
EMNLP
Sameer Singh |
Michael Wick |
Andrew McCallum |
A Discriminative Hierarchical Model for Fast Coreference at Large Scale
ACL
Michael Wick |
Sameer Singh |
Andrew McCallum |
Monte Carlo MCMC: Efficient Inference by Sampling Factors
WS
Sameer Singh |
Michael Wick |
Andrew McCallum |
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models
ACL
Sameer Singh |
Amarnag Subramanya |
Fernando Pereira |
Andrew McCallum |
Minimally-Supervised Extraction of Entities from Text Advertisements
NAACL
Sameer Singh |
Dustin Hillard |
Chris Leggetter |
Constraint-Driven Rank-Based Learning for Information Extraction
NAACL
Sameer Singh |
Limin Yao |
Sebastian Riedel |
Andrew McCallum |
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