Samuel R. Bowman

According to our database1, Samuel R. Bowman authored at least 46 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2018
Do latent tree learning models identify meaningful structure in sentences?
TACL, 2018

Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis.
CoRR, 2018

XNLI: Evaluating Cross-lingual Sentence Representations.
CoRR, 2018

Grammar Induction with Neural Language Models: An Unusual Replication.
CoRR, 2018

Neural Network Acceptability Judgments.
CoRR, 2018

A Stable and Effective Learning Strategy for Trainable Greedy Decoding.
CoRR, 2018

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.
CoRR, 2018

ListOps: A Diagnostic Dataset for Latent Tree Learning.
CoRR, 2018

Training a Ranking Function for Open-Domain Question Answering.
CoRR, 2018

Annotation Artifacts in Natural Language Inference Data.
CoRR, 2018

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

ListOps: A Diagnostic Dataset for Latent Tree Learning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Training a Ranking Function for Open-Domain Question Answering.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Annotation Artifacts in Natural Language Inference Data.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Grammar Induction with Neural Language Models: An Unusual Replication.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

XNLI: Evaluating Cross-lingual Sentence Representations.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Stable and Effective Learning Strategy for Trainable Greedy Decoding.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The Lifted Matrix-Space Model for Semantic Composition.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Ruminating Reader: Reasoning with Gated Multi-hop Attention.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017
The Lifted Matrix-Space Model for Semantic Composition.
CoRR, 2017

Learning to parse from a semantic objective: It works. Is it syntax?
CoRR, 2017

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.
CoRR, 2017

The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations.
CoRR, 2017

Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning.
CoRR, 2017

Ruminating Reader: Reasoning with Gated Multi-Hop Attention.
CoRR, 2017

Sequential Attention.
CoRR, 2017

The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017

Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017

Sequential Attention: A Context-Aware Alignment Function for Machine Reading.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

2016
A Fast Unified Model for Parsing and Sentence Understanding.
CoRR, 2016

Generating Sentences from a Continuous Space.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

A Fast Unified Model for Parsing and Sentence Understanding.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Generating Sentences from a Continuous Space.
CoRR, 2015

Tree-structured composition in neural networks without tree-structured architectures.
CoRR, 2015

A large annotated corpus for learning natural language inference.
CoRR, 2015

Tree-Structured Composition in Neural Networks without Tree-Structured Architectures.
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), 2015

A large annotated corpus for learning natural language inference.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning Distributed Word Representations for Natural Logic Reasoning.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2014
Learning Distributed Word Representations for Natural Logic Reasoning.
CoRR, 2014

Recursive Neural Networks for Learning Logical Semantics.
CoRR, 2014

A Gold Standard Dependency Corpus for English.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

2013
Can recursive neural tensor networks learn logical reasoning?
CoRR, 2013

More Constructions, More Genres: Extending Stanford Dependencies.
Proceedings of the Second International Conference on Dependency Linguistics, 2013

2012
Automatic Animacy Classification.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2011
Speech recognitionwith segmental conditional random fields: A summary of the JHU CLSP 2010 Summer Workshop.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Modeling pronunciation variation with context-dependent articulatory feature decision trees.
Proceedings of the INTERSPEECH 2010, 2010


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