conftrace_
← Learning Types
Deep Learning › Learning Types ›

Representation Learning

4,925 papers

Papers per year

7
51
606
487
'10
'15
'20
'25

Papers

Dense Passage Retrieval for Open-Domain Question Answering EMNLP 2020
Asking without Telling: Exploring Latent Ontologies in Contextual Representations EMNLP 2020
Probing Pretrained Language Models for Lexical Semantics EMNLP 2020
The importance of fillers for text representations of speech transcripts EMNLP 2020
Revealing the Myth of Higher-Order Inference in Coreference Resolution EMNLP 2020
DualTKB: A Dual Learning Bridge between Text and Knowledge Base EMNLP 2020
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning EMNLP 2020
On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020
Fˆ2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax EMNLP 2020
An information theoretic view on selecting linguistic probes EMNLP 2020
Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia EMNLP 2020
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation EMNLP 2020
Interpretable Entity Representations through Large-Scale Typing EMNLP 2020
High-order Semantic Role Labeling EMNLP 2020
Quantifying the Contextualization of Word Representations with Semantic Class Probing EMNLP 2020
Predicting Responses to Psychological Questionnaires from Participants’ Social Media Posts and Question Text Embeddings EMNLP 2020
Will it Unblend? EMNLP 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages EMNLP 2020
Data-to-Text Generation with Style Imitation EMNLP 2020
SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings EMNLP 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning EMNLP 2020
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms EMNLP 2020
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization EMNLP 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems EMNLP 2020