Co-occurring keywords · papers mentioning both
Papers
Context Limitations Make Neural Language Models More Human-Like
EMNLP 2022
“Covid vaccine is against Covid but Oxford vaccine is made at Oxford!” Semantic Interpretation of Proper Noun Compounds
EMNLP 2022
Deep Neural Representations for Multiword Expressions Detection
ACL 2022
Dual Mechanism Priming Effects in Hindi Word Order
AACL 2022
Guiding Neural Story Generation with Reader Models
EMNLP 2022
Improving HowNet-Based Chinese Word Sense Disambiguation with Translations
EMNLP 2022
Learning to rank with BERT-based confidence models in ASR rescoring
Interspeech 2022
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy
NAACL 2022
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps
ICML 2022
On the data requirements of probing
ACL 2022
On the Nature of BERT: Correlating Fine-Tuning and Linguistic Competence
COLING 2022
Residual Learning of Neural Text Generation with n-gram Language Model
EMNLP 2022
Revisiting Syllables in Language Modelling and Their Application on Low-Resource Machine Translation
COLING 2022
Self-Normalized Importance Sampling for Neural Language Modeling
Interspeech 2022
Structured Pruning Learns Compact and Accurate Models
ACL 2022
Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans vs. BERT
COLING 2022
The Grammar-Learning Trajectories of Neural Language Models
ACL 2022
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
ICLR 2022
Topicalization in Language Models: A Case Study on Japanese
COLING 2022
Towards Inter-character Relationship-driven Story Generation
EMNLP 2022
Unsupervised Paraphrasability Prediction for Compound Nominalizations
NAACL 2022
Where Does Linguistic Information Emerge in Neural Language Models? Measuring Gains and Contributions across Layers
COLING 2022
Word Order Matters When You Increase Masking
EMNLP 2022
Accelerating Text Communication via Abbreviated Sentence Input
ACL 2021
ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality
EMNLP 2021