NLPExplorer

WS - 2024

Total Papers:- 1901

Total Papers accross all years:- 21866

Total Citations :- 0

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Assessing Pre-Built Speaker Recognition Models for Endangered Language Data

Gina-Anne Levow |

Proceedings of the 2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) @ LREC-COLING 2024

Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision

Chuyuan Li | Chloé Braud | Maxime Amblard | Giuseppe Carenini |

AraMed: Arabic Medical Question Answering using Pretrained Transformer Language Models

Ashwag Alasmari | Sarah Alhumoud | Waad Alshammari |

BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation

Paying attention to the words: explaining readability prediction for French as a foreign language

Rodrigo Wilkens | Patrick Watrin | Thomas François |

Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels

Nicholas Pangakis | Sam Wolken |

TafsirExtractor: Text Preprocessing Pipeline preparing Classical Arabic Literature for Machine Learning Applications

Carl Kruse | Sajawel Ahmed |

Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents

Zhengxiang Wang | Owen Rambow |

The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics

Nikolay Bogoychev | Pinzhen Chen | Barry Haddow | Alexandra Birch |

Pinealai_StressIdent_LT-EDI@EACL2024: Minimal configurations for Stress Identification in Tamil and Telugu

Anvi Alex Eponon | Ildar Batyrshin | Grigori Sidorov |

Improving Covert Toxicity Detection by Retrieving and Generating References

PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles

Satya Gundabathula | Sriram Kolar |

Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission

Judita Preiss | Zenan Chen |

PropBank-Powered Data Creation: Utilizing Sense-Role Labelling to Generate Disaster Scenario Data