activity
20182021
most citedOpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]

157 citations · 653 across the 20 of their papers we have counts for

collaborators
Showing cs.CLShow all

7 papers · 1 filter

cs.CL2021★ 3 cited

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

Jun Yan, Nasser Zalmout, Yan Liang +3

Automatic extraction of product attribute values is an important enabling technology in e-Commerce platforms. This task is usually modeled using sequence labeling architectures, wi…

cs.CL2021

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

Zhengbao Jiang, Jialong Han, Bunyamin Sisman +1

Integrating extracted knowledge from the Web to knowledge graphs (KGs) can facilitate tasks like question answering. We study relation integration that aims to align free-text rela…

cs.CL2020★ 3 cited

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

Yaqing Wang, Yifan Ethan Xu, Xian Li +2

Product catalogs are valuable resources for eCommerce website. In the catalog, a product is associated with multiple attributes whose values are short texts, such as product name,…

cs.CL2020★ 18 cited

Octet: Online Catalog Taxonomy Enrichment with Self-Supervision

Yuning Mao, Tong Zhao, Andrey Kan +4

Taxonomies have found wide applications in various domains, especially online for item categorization, browsing, and search. Despite the prevalent use of online catalog taxonomies,…

cs.CL2020

ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages

Colin Lockard, Prashant Shiralkar, Xin Luna Dong +1

In many documents, such as semi-structured webpages, textual semantics are augmented with additional information conveyed using visual elements including layout, font size, and col…

cs.CL2020

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

Giannis Karamanolakis, Jun Ma, Xin Luna Dong

Extracting structured knowledge from product profiles is crucial for various applications in e-Commerce. State-of-the-art approaches for knowledge extraction were each designed for…