NLPExplorer

LTEDI - 2023

Total Papers:- 48

Total Papers accross all years:- 179

Total Citations :- 0

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CSE_SPEECH@LT-EDI-2023Automatic Speech Recognition vulnerable old-aged and transgender people in Tamil

Varsha Balaji | Archana Jp | Bharathi B |

Overview of the shared task on Detecting Signs of Depression from Social Media Text

TERCET@LT-EDI-2023: Hope Speech Detection for Equality, Diversity, and Inclusion

ASR_SSN_CSE@LTEDI- 2023: Pretrained Transformer based Automatic Speech Recognition system for Elderly People

Suhasini S | Bharathi B |

ML&AI_IIITRanchi@LT-EDI-2023: Hybrid Model for Text Classification for Identification of Various Types of Depression

Kirti Kumari | Shirish Shekhar Jha | Zarikunte Kunal Dayanand | Praneesh Sharma |

KaustubhSharedTask@LT-EDI 2023: Homophobia-Transphobia Detection in Social Media Comments with NLPAUG-driven Data Augmentation

Kaustubh Lande | Rahul Ponnusamy | Prasanna Kumar Kumaresan | Bharathi Raja Chakravarthi |

Flamingos_python@LT-EDI-2023: An Ensemble Model to Detect Severity of Depression

Abirami P S | Amritha S | Pavithra Meganathan | Jerin Mahibha C |

SANBAR@LT-EDI-2023:Automatic Speech Recognition: vulnerable old-aged and transgender people in Tamil

Saranya S | Bharathi B |

Cordyceps@LT-EDI : Depression Detection with Reddit and Self-training

Dean Ninalga |

RANGANAYAKI@LT-EDI: Hope Speech Detection using Capsule Networks

Ranganayaki Em | Abirami Murugappan | Lysa Packiam R S | Deivamani M |

TechSSN1 at LT-EDI-2023: Depression Detection and Classification using BERT Model for Social Media Texts

Venkatasai Ojus Yenumulapalli | Vijai Aravindh R | Rajalakshmi Sivanaiah | Angel Deborah S |

Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion

VEL@LT-EDI-2023: Automatic Detection of Hope Speech in Bulgarian Language using Embedding Techniques

Overview of Second Shared Task on Homophobia and Transphobia Detection in Social Media Comments

ML&AI_IIITRanchi@LT-EDI-2023: Identification of Hope Speech of YouTube comments in Mixed Languages