← Resources & Methods
Natural Language Processing › Resources & Methods ›

Language Modeling

1090 directly classified papers

Papers per year

Papers

Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning EMNLP 2020
An Attentive Recurrent Model for Incremental Prediction of Sentence-final Verbs EMNLP 2020
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining EMNLP 2020
Learning to ground medical text in a 3D human atlas EMNLP 2020
Are Pretrained Language Models Symbolic Reasoners over Knowledge? EMNLP 2020
CamemBERT: a Tasty French Language Model ACL 2020
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020
SenseBERT: Driving Some Sense into BERT ACL 2020
Probing for Referential Information in Language Models ACL 2020
Analysing Lexical Semantic Change with Contextualised Word Representations ACL 2020
Learning Spoken Language Representations with Neural Lattice Language Modeling ACL 2020
Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking AAAI 2020
Probing Linguistic Systematicity ACL 2020
Pretrained Language Model Embryology: The Birth of ALBERT EMNLP 2020
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention EMNLP 2020
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models EMNLP 2020
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention ACL 2020
On the Robustness of Language Encoders against Grammatical Errors ACL 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ACL 2020
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models ACL 2020
Learning Mutational Semantics NIPS 2020
Challenges in Neural Language Identification: NRC at VarDial 2020 COLING 2020
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models EMNLP 2020
Analyzing Individual Neurons in Pre-trained Language Models EMNLP 2020
Foreigner-directed speech is simpler than native-directed: Evidence from social media EMNLP 2020