NLPExplorer

Ozlem Uzuner

Number of Papers:- 20

Number of Citations:- 16

First ACL Paper:- 2005

Latest ACL Paper:- 2024

Venues:-

NAACL

CL4Health

ClinicalNLP

EACL

BioNLP

LREC

NeSp-NLP

SemEval

WANLP

ACL

IJCNLP

LCCM

Louhi

SMM4H

FNP

HLT

COLING

Co-Authors:-

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MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection SemEval

Enhancing Consumer Health Question Reformulation: Chain-of-Thought Prompting Integrating Focus, Type, and User Knowledge Level CL4Health WS

Jooyeon Lee | Luan Huy Pham | Özlem Uzuner |

MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models SemEval

Giridhar Kaushik Ramachandran | Haritha Gangavarapu | Kevin Lybarger | Ozlem Uzuner |

MNLP at FinCausal2022: Nested NER with a Generative Model FNP LREC

Jooyeon Lee | Luan Huy Pham | Özlem Uzuner |

Leveraging Offensive Language for Sarcasm and Sentiment Detection in Arabic EACL WANLP

Fatemah Husain | Ozlem Uzuner |

MNLP at MEDIQA 2021: Fine-Tuning PEGASUS for Consumer Health Question Summarization BioNLP NAACL

Jooyeon Lee | Huong Dang | Ozlem Uzuner | Sam Henry |

SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing ACL IJCNLP SemEval

Ensemble BERT for Classifying Medication-mentioning Tweets COLING SMM4H

Huong Dang | Kahyun Lee | Sam Henry | Özlem Uzuner |

SalamNET at SemEval-2020 Task 12: Deep Learning Approach for Arabic Offensive Language Detection COLING SemEval

Fatemah Husain | Jooyeon Lee | Sam Henry | Ozlem Uzuner |

CLPsych 2019 Shared Task: Predicting the Degree of Suicide Risk in Reddit Posts NAACL WS

Ayah Zirikly | Philip Resnik | Özlem Uzuner | Kristy Hollingshead |

Deep Learning for Identification of Adverse Effect Mentions In Twitter Data ACL WS

Paul Barry | Ozlem Uzuner |

Enhancing Cohesion and Coherence of Fake Text to Improve Believability for Deceiving Cyber Attackers COLING LCCM WS

Feature-Augmented Neural Networks for Patient Note De-identification ClinicalNLP WS

Ji Young Lee | Franck Dernoncourt | Özlem Uzuner | Peter Szolovits |

Biomedical/Clinical NLP COLING

Ozlem Uzuner | Meliha Yetişgen | Amber Stubbs |

Extracting Medication Information from Discharge Summaries Louhi WS

Does negation really matter? NeSp-NLP WS

Ira Goldstein | Özlem Uzuner |

Role of Local Context in Automatic Deidentification of Ungrammatical, Fragmented Text HLT NAACL

Tawanda Sibanda | Ozlem Uzuner | Ozlem Uzuner |

A Comparative Study of Language Models for Book and Author Recognition IJCNLP

Özlem Uzuner | Boris Katz |

Lexical Chains and Sliding Locality Windows in Content-based Text Similarity Detection IJCNLP

Thade Nahnsen | Özlem Uzuner | Boris Katz |

Using Syntactic Information to Identify Plagiarism WS

Özlem Uzuner | Boris Katz | Thade Nahnsen |