NLPExplorer

Kevin Seppi

Number of Papers:- 28

Number of Citations:- 57

First ACL Paper:- 2007

Latest ACL Paper:- 2020

Venues:-

LAW

Fig-Lang

EMNLP

CoNLL

LREC

COLING

ACL

NAACL

Co-Authors:-

Similar Authors:-

Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer ACL Fig-Lang WS

Orion Weller | Nancy Fulda | Kevin Seppi |

You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction ACL

The rJokes Dataset: a Large Scale Humor Collection LREC

Orion Weller | Kevin Seppi |

Humor Detection: A Transformer Gets the Last Laugh EMNLP

Orion Weller | Kevin Seppi |

Cross-referencing Using Fine-grained Topic Modeling NAACL

Automatic Evaluation of Local Topic Quality ACL

Why Didn’t You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models ACL

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types COLING

Paul Felt | Eric Ringger | Jordan Boyd-Graber | Kevin Seppi |

Labeled Anchors and a Scalable, Transparent, and Interactive Classifier EMNLP

Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling ACL

Jeffrey Lund | Connor Cook | Kevin Seppi | Jordan Boyd-Graber |

Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings COLING

Paul Felt | Eric Ringger | Kevin Seppi |

Fast Inference for Interactive Models of Text COLING

Jeffrey Lund | Paul Felt | Kevin Seppi | Eric Ringger |

ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling ACL

Forough Poursabzi-Sangdeh | Jordan Boyd-Graber | Leah Findlater | Kevin Seppi |

Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA CoNLL

Paul Felt | Eric Ringger | Jordan Boyd-Graber | Kevin Seppi |

Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models NAACL

Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models NAACL

An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning LAW WS

Robbie Haertel | Eric Ringger | Kevin Seppi | Paul Felt |

Momresp: A Bayesian Model for Multi-Annotator Document Labeling LREC

Paul Felt | Robbie Haertel | Eric Ringger | Kevin Seppi |

Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage LREC

Using Transfer Learning to Assist Exploratory Corpus Annotation LREC

Paul Felt | Eric Ringger | Kevin Seppi | Kristian Heal |

First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis LREC

A Probabilistic Morphological Analyzer for Syriac EMNLP

CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development LREC

Tag Dictionaries Accelerate Manual Annotation LREC

Parallel Active Learning: Eliminating Wait Time with Minimal Staleness WS

Robbie Haertel | Paul Felt | Eric K. Ringger | Kevin Seppi |

Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study LREC

Assessing the Costs of Sampling Methods in Active Learning for Annotation ACL

Active Learning for Part-of-Speech Tagging: Accelerating Corpus Annotation LAW WS