Xin Luna Dong | DeepAI

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∙ 08/27/2023

Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact

Knowledge Graphs (KGs) have been used to support a wide range of applica...

0 Xin Luna Dong, et al. ∙

∙ 08/20/2023

Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?

Since the recent prosperity of Large Language Models (LLMs), there have ...

0 Kai Sun, et al. ∙

∙ 04/29/2022

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision

Automatic extraction of product attributes from their textual descriptio...

9 Xinyang Zhang, et al. ∙

∙ 01/26/2022

VLDB 2021: Designing a Hybrid Conference

In 2020, while main database conferences one by one had to adopt a virtu...

0 Pinar Tozun, et al. ∙

∙ 10/27/2021

Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation

Multi-source entity linkage focuses on integrating knowledge from multip...

0 Di Jin, et al. ∙

∙ 09/12/2021

End-to-End Conversational Search for Online Shopping with Utterance Transfer

Successful conversational search systems can present natural, adaptive a...

0 Liqiang Xiao, et al. ∙

∙ 06/08/2021

PAM: Understanding Product Images in Cross Product Category Attribute Extraction

Understanding product attributes plays an important role in improving on...

0 Rongmei Lin, et al. ∙

∙ 06/04/2021

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding

Automatic extraction of product attribute values is an important enablin...

0 Jun Yan, et al. ∙

∙ 06/01/2021

CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction

Integrating extracted knowledge from the Web to knowledge graphs (KGs) c...

0 Zhengbao Jiang, et al. ∙

∙ 11/11/2020

J-Recs: Principled and Scalable Recommendation Justification

Online recommendation is an essential functionality across a variety of ...

2 Namyong Park, et al. ∙

∙ 09/15/2020

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

Entity linkage (EL) is a critical problem in data cleaning and integrati...

0 Zhengyang Wang, et al. ∙

∙ 06/24/2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Can one build a knowledge graph (KG) for all products in the world? Know...

12 Xin Luna Dong, et al. ∙

∙ 06/22/2020

MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals

Given multiple input signals, how can we infer node importance in a know...

20 Namyong Park, et al. ∙

∙ 06/18/2020

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Taxonomies have found wide applications in various domains, especially o...

0 Yuning Mao, et al. ∙

∙ 06/15/2020

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Product catalogs are valuable resources for eCommerce website. In the ca...

0 Yaqing Wang, et al. ∙

∙ 04/15/2020

TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories

Extracting structured knowledge from product profiles is crucial for var...

0 Giannis Karamanolakis, et al. ∙

∙ 12/07/2019

AutoBlock: A Hands-off Blocking Framework for Entity Matching

Entity matching seeks to identify data records over one or multiple data...

0 Wei Zhang, et al. ∙

∙ 07/23/2019

Efficient Knowledge Graph Accuracy Evaluation

Estimation of the accuracy of a large-scale knowledge graph (KG) often r...

0 Junyang Gao, et al. ∙

∙ 05/21/2019

Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks

How can we estimate the importance of nodes in a knowledge graph (KG)? A...

6 Namyong Park, et al. ∙

∙ 04/12/2019

OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference

In this paper, we consider advancing web-scale knowledge extraction and ...

0 Dongxu Zhang, et al. ∙

∙ 07/23/2018

LinkNBed: Multi-Graph Representation Learning with Entity Linkage

Knowledge graphs have emerged as an important model for studying complex...

0 Rakshit Trivedi, et al. ∙

∙ 06/01/2018

OpenTag: Open Attribute Value Extraction from Product Profiles

Extraction of missing attribute values is to find values describing an a...

0 Guineng Zheng, et al. ∙

∙ 04/12/2018

CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web

The web contains countless semi-structured websites, which can be a rich...

0 Colin Lockard, et al. ∙

∙ 05/14/2017

Discovering Multiple Truths with a Hybrid Model

Many data management applications require integrating information from m...

0 Furong Li, et al. ∙

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