joint-learning
There are 24 repositories under joint-learning topic.
lavis-nlp/spert
PyTorch code for SpERT: Span-based Entity and Relation Transformer
VinAIResearch/JointIDSF
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
Yuki-11/CSSR
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
lavis-nlp/jerex
PyTorch code for JEREX: Joint Entity-Level Relation Extractor
StephanieWyt/HGCN-JE-JR
Source code and datasets for EMNLP 2019 paper: Jointly Learning Entity and Relation Representations for Entity Alignment.
Yuki-11/CSBSR
Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (TIM) 2024. CSBSR is an advanced version of our previous work CSSR [MVA'21].
SCU-JJkinging/CCIR-Cup
2021 CCF BDCI 全国信息检索挑战杯(CCIR-Cup)智能人机交互自然语言理解赛道第二名参赛解决方案
MirunaPislar/multi-head-attention-labeller
Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.
gentaiscool/multi-task-cs-lm
Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning (CALCS 2018, ACL)
gionanide/OpiRec
Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the user under consideration for other products. The aforementioned task faces the same problems emerging in text generation using neural networks, namely repetition and specificity. In this paper, it is experi- mentally demonstrated that by employing coverage loss during training, repetition is reduced without adding extra parameters. Furthermore, the amount of repetition in the generated text review is defined as a measure of the captured information. Such measure is used to improve rating score prediction significantly during testing.
allanchen95/PAKDD-20-JarKA
Implementation of PAKDD'20 paper: "Jointly Modelling Attribute Interactions and Relationships for Cross-lingual Knowledge Alignment".
clemeth/tagparse
A part-of-speech/morphological tagger and a dependency parser that can be trained separately or jointly, with special methods for Ancient Greek.
systemallica/morfist
Multi-target Random Forest implementation that can mix both classification and regression tasks.
divyansha1115/UNIX-Command-Line-Prediction
This repository provides an insight into ventures of framing an intelligent Command line interface (CLI) for UNIX Based Systems.
vietbtx/ViTextnormASR
Our source code for the paper "Transformer-based Joint Learning Approach for Text Normalization in Vietnamese ASR"
jkd2021/joint-QDTrack
Implementation of joint construction of Mask/BBox heads in QDTrack-mots for joint training research
ductran963/employeeDBTracker
This project allows users to add, delete and views information of all their employees.
mobashgr/WeLT-ASpERT
WeLT-ASpERT Trainer
mobashgr/WeLT-SpERT
WeLT-SpERT Model
mobashgr/WeLT-TablERT-CNN
WeLT TablERT-CNN Trainer
R-N/covid-forecasting-joint-learning
COVID-19 forecasting model for East Java cities using Joint Learning
brunoharlein/planing_organizer
Python project planing organizer for python formation Adep Roubaix
R-N/covid-forecasting-joint-learning-app
Streamlit web app of covid-forecasting-joint-learning