NLPExplorer

Samuel Bowman

Number of Papers:- 63

Number of Citations:- 352

First ACL Paper:- 2012

Latest ACL Paper:- 2022

Venues:-

CLPsych

Findings

RepEval

BlackboxNLP

SCiL

TACL

Rep4NLP

IJCNLP

DepLing

insights

DADC

LREC

ACL

CoNLL

EMNLP

AACL

NAACL

IWPT

LNLS

CVSC

*SEMEVAL

Co-Authors:-

Similar Authors:-

Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions ACL LNLS

The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail ACL

Samuel Bowman |

BBQ: A hand-built bias benchmark for question answering ACL Findings

What Makes Reading Comprehension Questions Difficult? ACL

Saku Sugawara | Nikita Nangia | Alex Warstadt | Samuel Bowman |

Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair DADC NAACL

Jason Phang | Angelica Chen | William Huang | Samuel R. Bowman |

QuALITY: Question Answering with Long Input Texts, Yes! NAACL

SQuALITY: Building a Long-Document Summarization Dataset the Hard Way EMNLP

SocioProbe: What, When, and Where Language Models Learn about Sociodemographics EMNLP

Anne Lauscher | Federico Bianchi | Samuel R. Bowman | Dirk Hovy |

What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL

Samuel R. Bowman | George Dahl |

Comparing Test Sets with Item Response Theory ACL IJCNLP

When Do You Need Billions of Words of Pretraining Data? ACL IJCNLP

Yian Zhang | Alex Warstadt | Xiaocheng Li | Samuel R. Bowman |

What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? ACL IJCNLP

Does Putting a Linguist in the Loop Improve NLU Data Collection? EMNLP Findings

NOPE: A Corpus of Naturally-Occurring Presuppositions in English CoNLL EMNLP

Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection EMNLP

Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers BlackboxNLP EMNLP

Jason Phang | Haokun Liu | Samuel R. Bowman |

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models ACL

Self-Training for Unsupervised Parsing with PRPN ACL IWPT WS

Anhad Mohananey | Katharina Kann | Samuel R. Bowman |

Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work? ACL

Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options AACL

Clara Vania | Ruijie Chen | Samuel R. Bowman |

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too AACL

Counterfactually-Augmented SNLI Training Data Does Not Yield Better Generalization Than Unaugmented Data EMNLP insights

William Huang | Haokun Liu | Samuel R. Bowman |

BLiMP: The Benchmark of Linguistic Minimal Pairs for English TACL

CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models EMNLP

Nikita Nangia | Clara Vania | Rasika Bhalerao | Samuel R. Bowman |

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) EMNLP

New Protocols and Negative Results for Textual Entailment Data Collection EMNLP

Samuel R. Bowman | Jennimaria Palomaki | Livio Baldini Soares | Emily Pitler |

Precise Task Formalization Matters in Winograd Schema Evaluations EMNLP

Haokun Liu | William Huang | Dhara Mungra | Samuel R. Bowman |

Investigating BERT’s Knowledge of Language: Five Analysis Methods with NPIs EMNLP

Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set EMNLP

Katharina Kann | Kyunghyun Cho | Samuel R. Bowman |

Neural Unsupervised Parsing Beyond English EMNLP WS

Katharina Kann | Anhad Mohananey | Samuel R. Bowman | Kyunghyun Cho |

On Measuring Social Biases in Sentence Encoders NAACL

Identifying and Reducing Gender Bias in Word-Level Language Models NAACL

Shikha Bordia | Samuel R. Bowman |

Deep Learning for Natural Language Inference NAACL

Samuel Bowman | Xiaodan Zhu |

Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling ACL

Human vs. Muppet: A Conservative Estimate of Human Performance on the GLUE Benchmark ACL

Nikita Nangia | Samuel R. Bowman |

Probing What Different NLP Tasks Teach Machines about Function Word Comprehension *SEMEVAL

Verb Argument Structure Alternations in Word and Sentence Embeddings SCiL WS

Katharina Kann | Alex Warstadt | Adina Williams | Samuel R. Bowman |

Neural Network Acceptability Judgments TACL

Alex Warstadt | Amanpreet Singh | Samuel R. Bowman |

A Stable and Effective Learning Strategy for Trainable Greedy Decoding EMNLP

Yun Chen | Victor O.K. Li | Kyunghyun Cho | Samuel Bowman |

XNLI: Evaluating Cross-lingual Sentence Representations EMNLP

Grammar Induction with Neural Language Models: An Unusual Replication EMNLP

Phu Mon Htut | Kyunghyun Cho | Samuel Bowman |

The Lifted Matrix-Space Model for Semantic Composition CoNLL

WooJin Chung | Sheng-Fu Wang | Samuel Bowman |

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference NAACL

Adina Williams | Nikita Nangia | Samuel Bowman |

Annotation Artifacts in Natural Language Inference Data NAACL

ListOps: A Diagnostic Dataset for Latent Tree Learning NAACL

Nikita Nangia | Samuel Bowman |

Training a Ranking Function for Open-Domain Question Answering NAACL

Phu Mon Htut | Samuel Bowman | Kyunghyun Cho |

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

Adina Williams | Andrew Drozdov | Samuel R. Bowman |

Ruminating Reader: Reasoning with Gated Multi-hop Attention ACL WS

Yichen Gong | Samuel Bowman |

Proceedings of the Workshop on the Relevance of Linguistic Structure in Neural Architectures for NLP ACL WS

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding EMNLP WS

Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis EMNLP WS

Kelly Zhang | Samuel Bowman |