deberta
There are 30 repositories under deberta topic.
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
EveripediaNetwork/fastc
Unattended Lightweight Text Classifiers with LLM Embeddings
affjljoo3581/Samsung-AI-Challenge-for-Scientific-Discovery
🥇Samsung AI Challenge 2021 1등 솔루션입니다🥇
TianHongZXY/CoRe
[ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)
albert-jin/DictionaryFused-E2E-ABSA
DictABSA: A dictionary knowledge (entity description informations) enhanced aspect-based sentiment analysis (ABSA) code implementation
declare-lab/TEAM
Our EMNLP 2022 paper on MCQA
upskyy/kf-deberta-multitask
금융 도메인에 특화된 한국어 임베딩 모델
zeyadusf/LLMs-from-Scratch
Build a Large Language Model (From Scratch) book and Finetuned Models
Stareru/CSQA_DeBERTaV3
The implementation of DeBERTaV3-based commonsense question answering on CommonsenseQA.
akuritsyn/feedback-prize-2021
Kaggle NLP competition - Top 2% solution (36/2060)
irenepisani/Key_Point_Analysis
Key Point Analysis: implementation of two-component system for performing Key Point Matching and Key Point Generation task with multiple PLMs.
Anustup900/DeBerta-NLP-
Deberta implementation at Cross-Domain Sentiment Classification With Bidirectional Contextualized Transformer Language Models
EliasK93/debertav3-for-aspect-based-sentiment-analysis
Application for training the pretrained transformer model DeBERTaV3 on an Aspect Based Sentiment Analysis task
linhaowei1/HMC
The code of Hierarchical Multi-label Classification (HMC). It is a final course project of Natural Language Processing and Deep Learning, 2022 Fall.
Lizhecheng02/Kaggle-LLM_Science_Exam
Implementing science-related multiple-choice question answering based on LLMs and RAG.
marcel8168/MedTextClassification
Classification of medical texts to differentiate between human medical and veterinary subjects.
Neloy-Barman/Scientific-Paper-Keywords-Categorization
Scraping paper data, preprocessed and trained using BERT variants, deployment and an integration to website
zeyadusf/Finetuning-LLMs
Finetuning Large Language Models
04mayukh/R2D2-at-SemEval-2022-Task-5-MAMI
This repository contains the code for submission made at SemEval 2022 Task 5: MAMI
bchryzal/Detecting-Generated-Scientific-Papers
Can you spot automatically generated scientific excerpts?
DARK-art108/feedback-prize-english-language
Backbone: 5 x DeBerta and Head: Rapids SVR
Elbarbons/Data-enrichment-of-the-TEAM-method
Data enrichment with experimental results of the paper 'Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering'
deepak-bhat/Kaggle-US-patent-phrase-match
Solutions to US patents phrase matching Kaggle competition https://www.kaggle.com/competitions/us-patent-phrase-to-phrase-matching
EliasK93/transformer-model-comparison-for-review-sentiment-regression
Some experiments to compare the performances of some pre-trained transformer models on a basic sentiment regression task
ireneli393/Automated-Essay-Scoring-Systems-with-NLP-Models
Automated-Essay-Scoring-Systems-with-NLP-Models
Koukotsukan/Aspect_based_Sentiment_Analysis_to_Get_Insights_into_Online_Shopping_Experience_The_Case_of_Alibaba
The study employed the Fast-LCF-ATEPC model for Alibaba (intl') reviews, achieving 91.06% APC accuracy and 83.09% ATE F1 score. It revealed mixed user experiences in areas like usability, pricing, and shipping, aiming to enhance Alibaba's e-commerce user satisfaction.
KwokHing/Demo-on-automated-fact-checking-using-S-BERT
In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool
srsawant34/G26_P7-Document_Clustering_Summarization_Visualization
Document Clustering, Summarisation and Visualisation on 20NewsGroup
Sumon670/Tachygraphy-Microtext-Analysis
This project focuses on the Tachygraphy analysis i.e. Micro-Text analysis using Deep Learning techniques. The primary goal is to predict the simplified, expanded text from shorthand forms often found in casual digital communication. Additionally, the project aims to extract sentiments, emotions, personality traits, and other relevant information.
yasufumy/sequence-classifier
A PyTorch Library for Sequence Labeling Tasks such as Named-entity Recognition or Part-of-speech Tagging