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Found 5 papers, 3 papers with code
Global Constraints with Prompting for Zero-Shot Event Argument Classification
In this work, we propose to use global constraints with prompting to effectively tackles event argument classification without any annotation and task-specific training.
Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering
To tackle this challenge, we develop a multi-relational graph based MTL model called Heterogeneous Multi-Task Graph Isomorphism Network (HMTGIN) which efficiently solves heterogeneous CQA tasks.
A Variational Approach to Unsupervised Sentiment Analysis
Our objective function is to predict an opinion word given a target word while our ultimate goal is to learn a sentiment classifier.
Multilingual and Multi-Aspect Hate Speech Analysis
Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks.
Incorporating Features Learned by an Enhanced Deep Knowledge Tracing Model for STEM/Non-STEM Job Prediction
The 2017 ASSISTments Data Mining competition aims to use data from a longitudinal study for predicting a brand-new outcome of students which had never been studied before by the educational data mining research community.
