activity
20172022
most citedA Sequential Model for Classifying Temporal Relations between Intra-Sentence Events

9 citations · 38 across the 9 of their papers we have counts for

collaborators

14 papers

cs.CL20222 cited

Modeling Document-level Temporal Structures for Building Temporal Dependency Graphs

Prafulla Kumar Choubey, Ruihong Huang

We propose to leverage news discourse profiling to model document-level temporal structures for building temporal dependency graphs. Our key observation is that the functional role…

cs.DB2020

Event Data Quality: A Survey

Ruihong Huang, Jianmin Wang

Event data are prevalent in diverse domains such as financial trading, business workflows and industrial IoT nowadays. An event is often characterized by several attributes denotin…

cs.CL2020

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge

Yun He, Zhuoer Wang, Yin Zhang +2

We present a new benchmark dataset called PARADE for paraphrase identification that requires specialized domain knowledge. PARADE contains paraphrases that overlap very little at t…

cs.CL20208 cited

Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management

Wenlin Yao, Cheng Zhang, Shiva Saravanan +2

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management.…

cs.CL2019

In Plain Sight: Media Bias Through the Lens of Factual Reporting

Lisa Fan, Marshall White, Eva Sharma +4

The increasing prevalence of political bias in news media calls for greater public awareness of it, as well as robust methods for its detection. While prior work in NLP has primari…

cs.CL20194 cited

Improving Dialogue State Tracking by Discerning the Relevant Context

Sanuj Sharma, Prafulla Kumar Choubey, Ruihong Huang

A typical conversation comprises of multiple turns between participants where they go back-and-forth between different topics. At each user turn, dialogue state tracking (DST) aims…