
-
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Unsupervised extractive document summarization aims to select important ...
read it
-
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
We propose a novel language-independent approach to improve the efficien...
read it
-
Taking Modality-free Human Identification as Zero-shot Learning
Human identification is an important topic in event detection, person tr...
read it
-
STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization
Abstractive summarization aims to rewrite a long document to its shorter...
read it
-
From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition
In zero-shot learning (ZSL), the samples to be classified are usually pr...
read it
-
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene
Due to the deteriorated conditions of lack and uneven lighting, nightti...
read it
-
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning
Graph representation learning aims to encode all nodes of a graph into l...
read it
-
Understand Dynamic Regret with Switching Cost for Online Decision Making
As a metric to measure the performance of an online method, dynamic regr...
read it
-
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
Different from Visual Question Answering task that requires to answer on...
read it
-
ProLFA: Representative Prototype Selection for Local Feature Aggregation
Given a set of hand-crafted local features, acquiring a global represent...
read it
-
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries
Zero-shot learning (ZSL) has received extensive attention recently espec...
read it
-
Hierarchical Prototype Learning for Zero-Shot Recognition
Zero-Shot Learning (ZSL) has received extensive attention and successes ...
read it
-
Convolutional Prototype Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) has received increasing attention in recent yea...
read it
-
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
Neural extractive summarization models usually employ a hierarchical enc...
read it
-
Neural Latent Extractive Document Summarization
Extractive summarization models need sentence level labels, which are us...
read it
-
Sentence Simplification with Deep Reinforcement Learning
Sentence simplification aims to make sentences easier to read and unders...
read it
-
Dependency Parsing as Head Selection
Conventional graph-based dependency parsers guarantee a tree structure b...
read it
-
Top-down Tree Long Short-Term Memory Networks
Long Short-Term Memory (LSTM) networks, a type of recurrent neural netwo...
read it