Search Results for author:
Found 15 papers, 9 papers with code
Parametrically driven inertial sensing in chip-scale optomechanical cavities at the thermodynamical limits with extended dynamic range
We demonstrate theoretical and physical agreement and characterize the most relevant performance parameters with a device with 1. 5mg/Hz acceleration sensitivity, a 2. 5 fm/Hz1/2 displacement resolution corresponding to a 17. 02 ug/Hz1/2 force-equivalent acceleration, and a 5. 91 Hz/nW power sensitivity, at the thermodynamical limits.
LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation
Entity Alignment (EA) aims to find equivalent entity pairs between KGs, which is the core step of bridging and integrating multi-source KGs.
Ranked #1 on
Entity Alignment
on DBP1M DE-EN
From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment
Cross-lingual entity alignment (EA) aims to find the equivalent entities between crosslingual KGs, which is a crucial step for integrating KGs.
Ranked #4 on
Entity Alignment
on dbp15k fr-en
(using extra training data)
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
Entity alignment (EA) aims to find the equivalent entities in different KGs, which is a crucial step in integrating multiple KGs.
Ranked #6 on
Entity Alignment
on dbp15k ja-en
(using extra training data)
Boosting the Speed of Entity Alignment 10*: Dual Attention Matching Network with Normalized Hard Sample Mining
Seeking the equivalent entities among multi-source Knowledge Graphs (KGs) is the pivotal step to KGs integration, also known as \emph{entity alignment} (EA).
Ranked #2 on
Entity Alignment
on YAGO-WIKI50K
Relational Reflection Entity Alignment
Entity alignment aims to identify equivalent entity pairs from different Knowledge Graphs (KGs), which is essential in integrating multi-source KGs.
Ranked #3 on
Entity Alignment
on DICEWS-1K
MRAEA: An Efficient and Robust Entity Alignment Approach for Cross-lingual Knowledge Graph
To tackle these challenges, we propose a novel Meta Relation Aware Entity Alignment (MRAEA) to directly model cross-lingual entity embeddings by attending over the node's incoming and outgoing neighbors and its connected relations' meta semantics.
Ranked #17 on
Entity Alignment
on DBP15k zh-en
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models
In open-source software (OSS), the design of usability is often influenced by the discussions among community members on platforms such as issue tracking systems (ITSs).
Human-Computer Interaction Software Engineering
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
Supplementing product information by extracting attribute values from title is a crucial task in e-Commerce domain.
Towards a One-stop Solution to Both Aspect Extraction and Sentiment Analysis Tasks with Neural Multi-task Learning
Previous studies usually divided aspect-based sentiment analysis into several subtasks in pipeline, i. e., first aspect term and/or opinion term extraction, then aspect-based sentiment prediction, resulting in error propagation and external resources dependency.
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets
This paper describes our system designed for the WASSA-2018 Implicit Emotion Shared Task (IEST).
Extracting Entities and Relations with Joint Minimum Risk Training
We investigate the task of joint entity relation extraction.
Ranked #1 on
Relation Extraction
on ACE 2005
(Sentence Encoder metric)
ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods
The paper describes our submissions to task 3 in SemEval-2018.
The orbital PDF: general inference of the gravitational potential from steady-state tracers
We develop two general methods to infer the gravitational potential of a system using steady-state tracers, i. e., tracers with a time-independent phase-space distribution.
Astrophysics of Galaxies Cosmology and Nongalactic Astrophysics
