activity
20022019
most citedThumbs up? Sentiment Classification using Machine Learning Techniques

2.2k citations · 4.1k across the 9 of their papers we have counts for

collaborators

10 papers

cs.CL2019★ 44 cited

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases

Tao Yu, Rui Zhang, He Yang Er +21

We present CoSQL, a corpus for building cross-domain, general-purpose database (DB) querying dialogue systems. It consists of 30k+ turns plus 10k+ annotated SQL queries, obtained f…

cs.CL2019

SParC: Cross-Domain Semantic Parsing in Context

Tao Yu, Rui Zhang, Michihiro Yasunaga +16

We present SParC, a dataset for cross-domainSemanticParsing inContext that consists of 4,298 coherent question sequences (12k+ individual questions annotated with SQL queries). It…

cs.SI2014★ 49 cited

The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter

Chenhao Tan, Lillian Lee, Bo Pang

Consider a person trying to spread an important message on a social network. He/she can spend hours trying to craft the message. Does it actually matter? While there has been exten…

cs.DB2012★ 3 cited

An Analysis of Structured Data on the Web

Nilesh Dalvi, Ashwin Machanavajjhala, Bo Pang

In this paper, we analyze the nature and distribution of structured data on the Web. Web-scale information extraction, or the problem of creating structured tables using extraction…

cs.SI2011★ 105 cited

Echoes of power: Language effects and power differences in social interaction

Cristian Danescu-Niculescu-Mizil, Lillian Lee, Bo Pang +1

Understanding social interaction within groups is key to analyzing online communities. Most current work focuses on structural properties: who talks to whom, and how such interacti…

cs.CL2010★ 132 cited

For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia

Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil +1

We report on work in progress on extracting lexical simplifications (e.g., "collaborate" -> "work together"), focusing on utilizing edit histories in Simple English Wikipedia for t…