30 citations · 61 across the 13 of their papers we have counts for
4 papers · 1 filter
Extracting Shopping Interest-Related Product Types from the Web
Yinghao Li, Colin Lockard, Prashant Shiralkar +1
Recommending a diversity of product types (PTs) is important for a good shopping experience when customers are looking for products around their high-level shopping interests (SIs)…
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents
Ritesh Sarkhel, Binxuan Huang, Colin Lockard +1
Extracting structured information from HTML documents is a long-studied problem with a broad range of applications, including knowledge base construction, faceted search, and perso…
TCN: Table Convolutional Network for Web Table Interpretation
Daheng Wang, Prashant Shiralkar, Colin Lockard +3
Information extraction from semi-structured webpages provides valuable long-tailed facts for augmenting knowledge graph. Relational Web tables are a critical component containing a…
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard +2
In this paper, we consider advancing web-scale knowledge extraction and alignment by integrating OpenIE extractions in the form of (subject, predicate, object) triples with Knowled…