NLPExplorer

Doug Downey

Number of Papers:- 45

Number of Citations:- 163

First ACL Paper:- 2005

Latest ACL Paper:- 2024

Venues:-

NAACL

CoNLL

EMNLP

Findings

HLT

TACL

ACL

EACL

*SEMEVAL

GEM

IJCNLP

Co-Authors:-

Similar Authors:-

CARE: Extracting Experimental Findings From Clinical Literature F i n d i n g s - N A A C L

TOPICAL: TOPIC Pages AutomagicaLly NAACL

SciMON: Scientific Inspiration Machines Optimized for Novelty ACL

Qingyun Wang | Doug Downey | Heng Ji | Tom Hope |

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews ACL

Embedding Recycling for Language Models F i n d i n g s - E A C L

Penguins Don’t Fly: Reasoning about Generics through Instantiations and Exceptions EACL

SciRepEval: A Multi-Format Benchmark for Scientific Document Representations EMNLP

S2abEL: A Dataset for Entity Linking from Scientific Tables EMNLP

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents F i n d i n g s - A C L

CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies EMNLP

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents EMNLP

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation ACL

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups TACL

ABNIRML: Analyzing the Behavior of Neural IR Models TACL

Few-Shot Self-Rationalization with Natural Language Prompts Findings NAACL

Ana Marasovic | Iz Beltagy | Doug Downey | Matthew Peters |

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts EMNLP

Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models F i n d i n g s - E M N L P

Victor Bursztyn | David Demeter | Doug Downey | Larry Birnbaum |

Don’t Say What You Don’t Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search GEM

Who’s on First?: Probing the Learning and Representation Capabilities of Language Models on Deterministic Closed Domains CoNLL EMNLP

David Demeter | Doug Downey |

“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems EMNLP

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks ACL

SPECTER: Document-level Representation Learning using Citation-informed Transformers ACL

Stolen Probability: A Structural Weakness of Neural Language Models ACL

David Demeter | Gregory Kimmel | Doug Downey |

Generative Data Augmentation for Commonsense Reasoning EMNLP Findings

Using Large Corpus N-gram Statistics to Improve Recurrent Neural Language Models NAACL

Yiben Yang | Ji-Ping Wang | Doug Downey |

A Semantic Cover Approach for Topic Modeling *SEMEVAL

Rajagopal Venkatesaramani | Doug Downey | Bradley Malin | Yevgeniy Vorobeychik |

CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense NAACL WS

Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models EMNLP

Thanapon Noraset | Doug Downey | Lidong Bing |

Construction of the Literature Graph in Semantic Scholar NAACL