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Representation Learning

20,822 papers

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Papers

SynET: Synonym Expansion using Transitivity EMNLP 2020
Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue EMNLP 2020
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms EMNLP 2020
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020
Rethinking Topic Modelling: From Document-Space to Term-Space EMNLP 2020
Sparse and Decorrelated Representations for Stable Zero-shot NMT EMNLP 2020
Recursive Top-Down Production for Sentence Generation with Latent Trees EMNLP 2020
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation EMNLP 2020
Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization EMNLP 2020
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers EMNLP 2020
Adaptive Feature Selection for End-to-End Speech Translation EMNLP 2020
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling EMNLP 2020
Learning Numeral Embedding EMNLP 2020
Toward Stance-based Personas for Opinionated Dialogues EMNLP 2020
Out-of-Sample Representation Learning for Knowledge Graphs EMNLP 2020
Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment EMNLP 2020
LSTMs Compose—and Learn—Bottom-Up EMNLP 2020
TurnGPT: a Transformer-based Language Model for Predicting Turn-taking in Spoken Dialog EMNLP 2020
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation EMNLP 2020
An Evaluation Method for Diachronic Word Sense Induction EMNLP 2020
Graph-to-Graph Transformer for Transition-based Dependency Parsing EMNLP 2020
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph EMNLP 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models EMNLP 2020
Composed Variational Natural Language Generation for Few-shot Intents EMNLP 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks EMNLP 2020