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Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Analytic Automated Essay Scoring Based on Deep Neural Networks Integrating Multidimensional Item Response Theory COLING 2022
Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation COLING 2022
Event Causality Identification via Generation of Important Context Words NAACL 2022
TEAM: A multitask learning based Taxonomy Expansion approach for Attach and Merge NAACL 2022
Section Classification in Clinical Notes with Multi-task Transformers EMNLP 2022
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts EMNLP 2022
A unified framework for cross-domain and cross-task learning of mental health conditions EMNLP 2022
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition COLING 2022
DESED: Dialogue-based Explanation for Sentence-level Event Detection COLING 2022
Semi-supervised Learning with Multi-Head Co-Training AAAI 2022
Response Construct Tagging: NLP-Aided Assessment for Engineering Education NAACL 2022
A Hybrid Model of Classification and Generation for Spatial Relation Extraction COLING 2022
Key Mention Pairs Guided Document-Level Relation Extraction COLING 2022
Complex Paralinguistic Analysis of Speech: Predicting Gender, Emotions and Deception in a Hierarchical Framework INTERSPEECH 2022
Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks AAAI 2022
DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition COLING 2022
DCT-Centered Temporal Relation Extraction COLING 2022
PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation COLING 2022
Prompt-based Conservation Learning for Multi-hop Question Answering COLING 2022
Papago’s Submission to the WMT22 Quality Estimation Shared Task EMNLP 2022
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases COLING 2022
NJUNLP’s Participation for the WMT2022 Quality Estimation Shared Task EMNLP 2022
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs AAAI 2022
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering COLING 2022
Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy EMNLP 2022