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Self-Supervised Learning

8,405 papers

Papers per year

12
19
682
1215
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Papers

Salient Span Masking for Temporal Understanding EACL 2023
Self-training Reduces Flicker in Retranslation-based Simultaneous Translation EACL 2023
Self-Supervised Unimodal Label Generation Strategy Using Recalibrated Modality Representations for Multimodal Sentiment Analysis EACL 2023
Language-Aware Multilingual Machine Translation with Self-Supervised Learning EACL 2023
Going beyond research datasets: Novel intent discovery in the industry setting EACL 2023
Trained on 100 million words and still in shape: BERT meets British National Corpus EACL 2023
Multi-View Source Ablation for Faithful Summarization EACL 2023
Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation EACL 2023
Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? EACL 2023
Is German secretly a Slavic language? What BERT probing can tell us about language groups EACL 2023
What do Humor Classifiers Learn? An Attempt to Explain Humor Recognition Models EACL 2023
Predicting Compositionality of Verbal Multiword Expressions in Persian EACL 2023
Does Topological Ordering of Morphological Segments Reduce Morphological Modeling Complexity? A Preliminary Study on 13 Languages EACL 2023
Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition EMNLP 2023
Symbol tuning improves in-context learning in language models EMNLP 2023
Large Language Models Can Self-Improve EMNLP 2023
Diversify Question Generation with Retrieval-Augmented Style Transfer EMNLP 2023
Query-as-context Pre-training for Dense Passage Retrieval EMNLP 2023
MAGNIFICo: Evaluating the In-Context Learning Ability of Large Language Models to Generalize to Novel Interpretations EMNLP 2023
Improving Summarization with Human Edits EMNLP 2023
Unsupervised Grammatical Error Correction Rivaling Supervised Methods EMNLP 2023
mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images EMNLP 2023
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis EMNLP 2023
Harnessing Black-Box Control to Boost Commonsense in LM’s Generation EMNLP 2023
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding EMNLP 2023