activity
20162020
most citedSato: Contextual Semantic Type Detection in Tables

14 citations · 27 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2020

Deep or Simple Models for Semantic Tagging? It Depends on your Data [Experiments]

Jinfeng Li, Yuliang Li, Xiaolan Wang +1

Semantic tagging, which has extensive applications in text mining, predicts whether a given piece of text conveys the meaning of a given semantic tag. The problem of semantic taggi…

cs.CL2020★ 1 cited

Constructing Explainable Opinion Graphs from Review

Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara +4

The Web is a major resource of both factual and subjective information. While there are significant efforts to organize factual information into knowledge bases, there is much less…

cs.CL2020★ 1 cited

Enhancing Review Comprehension with Domain-Specific Commonsense

Aaron Traylor, Chen Chen, Behzad Golshan +6

Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review compreh…

cs.DB2019★ 14 cited

Sato: Contextual Semantic Type Detection in Tables

Dan Zhang, Yoshihiko Suhara, Jinfeng Li +3

Detecting the semantic types of data columns in relational tables is important for various data preparation and information retrieval tasks such as data cleaning, schema matching,…

cs.CR2019★ 7 cited

Zipper Stack: Shadow Stacks Without Shadow

Jinfeng Li, Liwei Chen, Qizhen Xu +4

Return-Oriented Programming (ROP) is a typical attack technique that exploits return addresses to abuse existing code repeatedly. Most of the current return address protecting mech…

cs.DB2016★ 4 cited

Efficient Processing of Reachability and Time-Based Path Queries in a Temporal Graph

Huanhuan Wu, Yuzhen Huang, James Cheng +2

A temporal graph is a graph in which vertices communicate with each other at specific time, e.g., calls at 11 a.m. and talks for 7 minutes, which is modeled by an edge from…