NLPExplorer

LTEDI - 2023

Total Papers:- 48

Total Papers accross all years:- 179

Total Citations :- 0

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JA-NLP@LT-EDI-2023: Empowering Mental Health Assessment: A RoBERTa-Based Approach for Depression Detection

Jyoti Kumari | Abhinav Kumar |

NLP_CHRISTINE@LT-EDI-2023: RoBERTa & DeBERTa Fine-tuning for Detecting Signs of Depression from Social Media Text

Christina Christodoulou |

Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion

TechSSN4@LT-EDI-2023: Depression Sign Detection in Social Media Postings using DistilBERT Model

Krupa Elizabeth Thannickal | Sanmati P | Rajalakshmi Sivanaiah | Angel Deborah S |

Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding

Dean Ninalga |

IIITDWD@LT-EDI-2023 Unveiling Depression: Using pre-trained language models for Harnessing Domain-Specific Features and Context Information

Shankar Biradar | Sunil Saumya | Sanjana Kavatagi |

English2BSL: A Rule-Based System for Translating English into British Sign Language

Phoebe Alexandra Pinney | Riza Batista-Navarro |

CIMAT-NLP@LT-EDI-2023: Finegrain Depression Detection by Multiple Binary Problems Approach

María de Jesús García Santiago | Fernando Sánchez Vega | Adrián Pastor López Monroy |

VTUBGM@LT-EDI-2023: Hope Speech Identification using Layered Differential Training of ULMFit

Sanjana M. Kavatagi | Rashmi R. Rachh | Shankar S. Biradar |

Overview of the Second Shared Task on Speech Recognition for Vulnerable Individuals in Tamil

IJS@LT-EDI : Ensemble Approaches to Detect Signs of Depression from Social Media Text

Jaya Caporusso | Thi Hong Hanh Tran | Senja Pollak |

Multilingual Models for Sentiment and Abusive Language Detection for Dravidian Languages

Anand Kumar M |

DeepLearningBrasil@LT-EDI-2023: Exploring Deep Learning Techniques for Detecting Depression in Social Media Text

Team-KEC@LT-EDI: Detecting Signs of Depression from Social Media Text