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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...
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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 ...
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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...
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01/26/2022
VLDB 2021: Designing a Hybrid Conference
In 2020, while main database conferences one by one had to adopt a virtu...
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10/27/2021
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation
Multi-source entity linkage focuses on integrating knowledge from multip...
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09/12/2021
End-to-End Conversational Search for Online Shopping with Utterance Transfer
Successful conversational search systems can present natural, adaptive a...
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06/08/2021
PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Understanding product attributes plays an important role in improving on...
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06/04/2021
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
Automatic extraction of product attribute values is an important enablin...
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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...
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11/11/2020
J-Recs: Principled and Scalable Recommendation Justification
Online recommendation is an essential functionality across a variety of ...
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09/15/2020
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage
Entity linkage (EL) is a critical problem in data cleaning and integrati...
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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...
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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...
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06/18/2020
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision
Taxonomies have found wide applications in various domains, especially o...
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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...
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04/15/2020
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
Extracting structured knowledge from product profiles is crucial for var...
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12/07/2019
AutoBlock: A Hands-off Blocking Framework for Entity Matching
Entity matching seeks to identify data records over one or multiple data...
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07/23/2019
Efficient Knowledge Graph Accuracy Evaluation
Estimation of the accuracy of a large-scale knowledge graph (KG) often r...
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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...
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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 ...
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07/23/2018
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
Knowledge graphs have emerged as an important model for studying complex...
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06/01/2018
OpenTag: Open Attribute Value Extraction from Product Profiles
Extraction of missing attribute values is to find values describing an a...
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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...
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05/14/2017