
-
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
Thermal power generation plays a dominant role in the world's electricit...
read it
-
A GAN-Based Input-Size Flexibility Model for Single Image Dehazing
Image-to-image translation based on generative adversarial network (GAN)...
read it
-
Structural Information Preserving for Graph-to-Text Generation
The task of graph-to-text generation aims at producing sentences that pr...
read it
-
Contextualized Rewriting for Text Summarization
Extractive summarization suffers from irrelevance, redundancy and incohe...
read it
-
SemGloVe: Semantic Co-occurrences for GloVe from BERT
GloVe learns word embeddings by leveraging statistical information from ...
read it
-
Natural Language Inference in Context – Investigating Contextual Reasoning over Long Texts
Natural language inference (NLI) is a fundamental NLP task, investigatin...
read it
-
Layer-Wise Multi-View Learning for Neural Machine Translation
Traditional neural machine translation is limited to the topmost encoder...
read it
-
A Lane-Changing Prediction Method Based on Temporal Convolution Network
Lane-changing is an important driving behavior and unreasonable lane cha...
read it
-
Coarse-to-Fine Pre-training for Named Entity Recognition
More recently, Named Entity Recognition hasachieved great advances aided...
read it
-
Does Chinese BERT Encode Word Structure?
Contextualized representations give significantly improved results for a...
read it
-
Online Back-Parsing for AMR-to-Text Generation
AMR-to-text generation aims to recover a text containing the same meanin...
read it
-
Mode Surfaces of Symmetric Tensor Fields: Topological Analysis and Seamless Extraction
Mode surfaces are the generalization of degenerate curves and neutral su...
read it
-
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
Automatic speech-based affect recognition of individuals in dyadic conve...
read it
-
Commonsense Knowledge Graph Reasoning by Selection or Generation? Why?
Commonsense knowledge graph reasoning(CKGR) is the task of predicting a ...
read it
-
Dialogue State Induction Using Neural Latent Variable Models
Dialogue state modules are a useful component in a task-oriented dialogu...
read it
-
Does BERT Solve Commonsense Task via Commonsense Knowledge?
The success of pre-trained contextualized language models such as BERT m...
read it
-
openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion
A common problem in machine learning is to deal with datasets with disjo...
read it
-
On Manually Reverse Engineering Communication Protocols of Linux Based IoT Systems
IoT security and privacy has raised grave concerns. Efforts have been ma...
read it
-
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Machine reading is a fundamental task for testing the capability of natu...
read it
-
Absentee and Economic Impact of Low-Level Fine Particulate Matter and Ozone Exposure in K-12 Students
High air pollution levels are associated with school absences. However, ...
read it
-
Understanding the Relationship between Social Distancing Policies, Traffic Volume, Air Quality, and the Prevalence of COVID-19 Outcomes in Urban Neighborhoods
In response to the COVID-19 pandemic, governments have implemented polic...
read it
-
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
We present Covidex, a search engine that exploits the latest neural rank...
read it
-
On Runtime Software Security of TrustZone-M based IoT Devices
Internet of Things (IoT) devices have been increasingly integrated into ...
read it
-
Design Space Exploration of Power Delivery For Advanced Packaging Technologies
In this paper, a design space exploration of power delivery networks is ...
read it
-
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences
In this paper, we propose a new task of machine translation (MT), which ...
read it
-
SemEval-2020 Task 4: Commonsense Validation and Explanation
In this paper, we present SemEval-2020 Task 4, Commonsense Validation an...
read it
-
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP
Multi-lingual contextualized embeddings, such as multilingual-BERT (mBER...
read it
-
RelEx: A Model-Agnostic Relational Model Explainer
In recent years, considerable progress has been made on improving the in...
read it
-
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
Deep Learning (DL) techniques allow ones to train models from a dataset ...
read it
-
DRTS Parsing with Structure-Aware Encoding and Decoding
Discourse representation tree structure (DRTS) parsing is a novel semant...
read it
-
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
It is commonly believed that knowledge of syntactic structure should imp...
read it
-
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization
Spoken language understanding has been addressed as a supervised learnin...
read it
-
Multiscale Collaborative Deep Models for Neural Machine Translation
Recent evidence reveals that Neural Machine Translation (NMT) models wit...
read it
-
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
Recent studies have shown remarkable success in end-to-end task-oriented...
read it
-
MuTual: A Dataset for Multi-Turn Dialogue Reasoning
Non-task oriented dialogue systems have achieved great success in recent...
read it
-
News-Driven Stock Prediction With Attention-Based Noisy Recurrent State Transition
We consider direct modeling of underlying stock value movement sequences...
read it
-
Peripheral-free Device Pairing by Randomly Switching Power
The popularity of Internet-of-Things (IoT) comes with security concerns....
read it
-
Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network
Targeted sentiment classification predicts the sentiment polarity on giv...
read it
-
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
The mixed membership stochastic blockmodel (MMSB) is a popular framework...
read it
-
Learning Fairness-aware Relational Structures
The development of fair machine learning models that effectively avert b...
read it
-
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs
Recent graph-to-text models generate text from graph-based data using ei...
read it
-
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles
Mobile edge computing (MEC) is an emerging technology to transform the c...
read it
-
Oriented Objects as pairs of Middle Lines
The detection of oriented objects is frequently appeared in the field of...
read it
-
Evaluating Commonsense in Pre-trained Language Models
Contextualized representations trained over large raw text data have giv...
read it
-
Leveraging Dependency Forest for Neural Medical Relation Extraction
Medical relation extraction discovers relations between entity mentions ...
read it
-
Using Dynamic Embeddings to Improve Static Embeddings
How to build high-quality word embeddings is a fundamental research ques...
read it
-
Transition-Based Deep Input Linearization
Traditional methods for deep NLG adopt pipeline approaches comprising st...
read it
-
Contrastive Attention Mechanism for Abstractive Sentence Summarization
We propose a contrastive attention mechanism to extend the sequence-to-s...
read it
-
DDM: A Demand-based Dynamic Mitigation for SMT Transient Channels
Different from the traditional software vulnerability, the microarchitec...
read it
-
Syntax-Enhanced Self-Attention-Based Semantic Role Labeling
As a fundamental NLP task, semantic role labeling (SRL) aims to discover...
read it