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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Topic-Guided Abstractive Multi-Document Summarization EMNLP 2021
Language Resource Efficient Learning for Captioning EMNLP 2021
Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning EMNLP 2021
Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension EMNLP 2021
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings EMNLP 2021
Re-entry Prediction for Online Conversations via Self-Supervised Learning EMNLP 2021
Informed Sampling for Diversity in Concept-to-Text NLG EMNLP 2021
WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER EMNLP 2021
CDLM: Cross-Document Language Modeling EMNLP 2021
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection EMNLP 2021
LMSOC: An Approach for Socially Sensitive Pretraining EMNLP 2021
Self-Supervised Neural Topic Modeling EMNLP 2021
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching EMNLP 2021
Self-Training using Rules of Grammar for Few-Shot NLU EMNLP 2021
Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech EMNLP 2021
Stacked AMR Parsing with Silver Data EMNLP 2021
Counterfactual Adversarial Learning with Representation Interpolation EMNLP 2021
MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning EMNLP 2021
M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts EMNLP 2021
Self-trained Pretrained Language Models for Evidence Detection EMNLP 2021
Relating Neural Text Degeneration to Exposure Bias EMNLP 2021
An Investigation of Language Model Interpretability via Sentence Editing EMNLP 2021
Exploratory Model Analysis Using Data-Driven Neuron Representations EMNLP 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021