conftrace_
← Learning Types
Machine Learning › Learning Types ›

Self-Supervised Learning

8,255 papers

Papers per year

Papers

Contrastive Multi-document Question Generation EACL 2021
Keep Learning: Self-supervised Meta-learning for Learning from Inference EACL 2021
ResPer: Computationally Modelling Resisting Strategies in Persuasive Conversations EACL 2021
Unification-based Reconstruction of Multi-hop Explanations for Science Questions EACL 2021
Discourse Understanding and Factual Consistency in Abstractive Summarization EACL 2021
Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models EACL 2021
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers EACL 2021
Self-Supervised and Controlled Multi-Document Opinion Summarization EACL 2021
Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale EACL 2021
The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues EACL 2021
Content-based Models of Quotation EACL 2021
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings EACL 2021
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media EACL 2021
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections EACL 2021
Changing the Mind of Transformers for Topically-Controllable Language Generation EACL 2021
BERTective: Language Models and Contextual Information for Deception Detection EACL 2021
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO EACL 2021
Increasing Robustness to Spurious Correlations using Forgettable Examples EACL 2021
Don’t Change Me! User-Controllable Selective Paraphrase Generation EACL 2021
Contrasting distinct structured views to learn sentence embeddings EACL 2021
Russian Paraphrasers: Paraphrase with Transformers EACL 2021
Topic Modeling for Maternal Health Using Reddit EACL 2021
Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations EACL 2021
Hopeful NLP@LT-EDI-EACL2021: Finding Hope in YouTube Comment Section EACL 2021
N-gram and Neural Models for Uralic Language Identification: NRC at VarDial 2021 EACL 2021