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

Large Language Models

9067 directly classified papers

Papers per year

Papers

Blockwise Self-Attention for Long Document Understanding EMNLP 2020
TinyBERT: Distilling BERT for Natural Language Understanding EMNLP 2020
Exploring BERT’s Sensitivity to Lexical Cues using Tests from Semantic Priming EMNLP 2020
Do Language Embeddings capture Scales? EMNLP 2020
Joint Intent Detection and Entity Linking on Spatial Domain Queries EMNLP 2020
How does BERT capture semantics? A closer look at polysemous words EMNLP 2020
This is a BERT. Now there are several of them. Can they generalize to novel words? EMNLP 2020
Exploring Span Representations in Neural Coreference Resolution EMNLP 2020
Using Pre-Trained Transformer for Better Lay Summarization EMNLP 2020
Tencent submission for WMT20 Quality Estimation Shared Task EMNLP 2020
IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol EMNLP 2020
On the Branching Bias of Syntax Extracted from Pre-trained Language Models EMNLP 2020
BERTnesia: Investigating the capture and forgetting of knowledge in BERT EMNLP 2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution NIPS 2020
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge NIPS 2020
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text EMNLP 2020
VD-BERT: A Unified Vision and Dialog Transformer with BERT EMNLP 2020
Contextual Embeddings for Arabic-English Code-Switched Data COLING 2020
Arabic Dialect Identification Using BERT Fine-Tuning COLING 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers NIPS 2020
Probing Pretrained Language Models for Lexical Semantics EMNLP 2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations EMNLP 2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis EMNLP 2020
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA EMNLP 2020
NILC at SR’20: Exploring Pre-Trained Models in Surface Realisation COLING 2020