NLPExplorer

Kristen Johnson

Number of Papers:- 13

Number of Citations:- 9

First ACL Paper:- 2016

Latest ACL Paper:- 2024

Venues:-

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*SEMEVAL

EMNLP

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NAACL

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WS

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ACL

ECONLP

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COLING

NLP+CSS

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g

Co-Authors:-

Anna Paula Pawlicka Maule

Similar Authors:-

Aritz Bilbao Jayo

Tatsuya Iwanari

Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness F i n d i n g s - A C L

Guangliang Liu | Milad Afshari | Xitong Zhang | Zhiyu Xue | Avrajit Ghosh | Bidhan Bashyal | Rongrong Wang | Kristen Johnson |

Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis EMNLP

Guangliang Liu | Haitao Mao | Jiliang Tang | Kristen Johnson |

PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent EMNLP

Guangliang Liu | Zhiyu Xue | Xitong Zhang | Kristen Johnson | Rongrong Wang |

Race, Gender, and Age Biases in Biomedical Masked Language Models F i n d i n g s - A C L

Michelle Kim | Junghwan Kim | Kristen Johnson |

CLoSE: Contrastive Learning of Subframe Embeddings for Political Bias Classification of News Media COLING

Michelle YoungJin Kim | Kristen Marie Johnson |

Cryptocurrency Day Trading and Framing Prediction in Microblog Discourse ECONLP EMNLP

Anna Paula Pawlicka Maule | Kristen Johnson |

Modeling Behavioral Aspects of Social Media Discourse for Moral Classification NAACL WS

Kristen Johnson | Dan Goldwasser |

Classification of Moral Foundations in Microblog Political Discourse ACL

Kristen Johnson | Dan Goldwasser |

Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter ACL

Kristen Johnson | Di Jin | Dan Goldwasser |

PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings *SEMEVAL

I-Ta Lee | Mahak Goindani | Chang Li | Di Jin | Kristen Marie Johnson | Xiao Zhang | Maria Leonor Pacheco | Dan Goldwasser |

Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter NLP+CSS WS

Kristen Johnson | I-Ta Lee | Dan Goldwasser |

“All I know about politics is what I read in Twitter”: Weakly Supervised Models for Extracting Politicians’ Stances From Twitter COLING

Kristen Johnson | Dan Goldwasser |

Identifying Stance by Analyzing Political Discourse on Twitter NLP+CSS WS

Kristen Johnson | Dan Goldwasser |

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