← Learning Types
Machine Learning › Learning Types ›

Multi-Task Learning

2117 directly classified papers

Papers per year

Papers

Dynamic Multi-Task Learning with Convolutional Neural Network IJCAI 2017
Consistent Multitask Learning with Nonlinear Output Relations NIPS 2017
Proofread Sentence Generation as Multi-Task Learning with Editing Operation Prediction IJCNLP 2017
A Multi-task Learning Approach to Adapting Bilingual Word Embeddings for Cross-lingual Named Entity Recognition IJCNLP 2017
MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews IJCNLP 2017
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis IJCNLP 2017
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective IJCAI 2017
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation EMNLP 2017
Joint Concept Learning and Semantic Parsing from Natural Language Explanations EMNLP 2017
Multi-Grained Chinese Word Segmentation EMNLP 2017
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning EMNLP 2017
English Multiword Expression-aware Dependency Parsing Including Named Entities ACL 2017
Prerequisite Relation Learning for Concepts in MOOCs ACL 2017
Multi-Task Video Captioning with Video and Entailment Generation ACL 2017
Neural End-to-End Learning for Computational Argumentation Mining ACL 2017
Identifying beneficial task relations for multi-task learning in deep neural networks EACL 2017
A Multi-task Approach to Predict Likability of Books EACL 2017
Noise Mitigation for Neural Entity Typing and Relation Extraction EACL 2017
Joint Learning on Relevant User Attributes in Micro-blog IJCAI 2017
Multitask Learning for Mental Health Conditions with Limited Social Media Data EACL 2017
Binary Linear Compression for Multi-label Classification IJCAI 2017
When is multitask learning effective? Semantic sequence prediction under varying data conditions EACL 2017
LIMSI@CoNLL’17: UD Shared Task CONLL 2017
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings EACL 2017
Joint Prediction of Morphosyntactic Categories for Fine-Grained Arabic Part-of-Speech Tagging Exploiting Tag Dictionary Information CONLL 2017