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Methodology
← Learning Types
Deep Learning
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Learning Types
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Multi-Task Learning
955 directly classified papers
Papers per year
2006: 1
2008: 1
2009: 1
2011: 1
2013: 1
2014: 5
2015: 10
2016: 16
2017: 38
2018: 57
2019: 125
2020: 161
2021: 121
2022: 122
2023: 112
2024: 93
2025: 90
Papers
A Multi-task Learning Framework for Opinion Triplet Extraction
EMNLP 2020
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
EMNLP 2020
Semantically Driven Sentence Fusion: Modeling and Evaluation
EMNLP 2020
Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking
EMNLP 2020
Learning to Plan and Realize Separately for Open-Ended Dialogue Systems
EMNLP 2020
Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning
EMNLP 2020
A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events
EMNLP 2020
STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval
EMNLP 2020
A Shared-Private Representation Model with Coarse-to-Fine Extraction for Target Sentiment Analysis
EMNLP 2020
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation
EMNLP 2020
Advancing Seq2seq with Joint Paraphrase Learning
EMNLP 2020
JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference
EMNLP 2020
Embedding Structured Dictionary Entries
EMNLP 2020
Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text
EMNLP 2020
Multitask Learning of Negation and Speculation using Transformers
EMNLP 2020
Text Zoning and Classification for Job Advertisements in German, French and English
EMNLP 2020
GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents
EMNLP 2020
HW-TSC’s Participation at WMT 2020 Quality Estimation Shared Task
EMNLP 2020
Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning
EMNLP 2020
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling
EMNLP 2020
Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets
EMNLP 2020
RepPoints v2: Verification Meets Regression for Object Detection
NIPS 2020
Unfolding the Alternating Optimization for Blind Super Resolution
NIPS 2020
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
NIPS 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
NIPS 2020
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