34 citations · 39 across the 7 of their papers we have counts for
8 papers
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users
Kuntal Kumar Pal, Michael Gamon, Nirupama Chandrasekaran +1
In community question-answering platforms, tags play essential roles in effective information organization and retrieval, better question routing, faster response to questions, and…
Making Large Language Models Interactive: A Pioneer Study on Supporting Complex Information-Seeking Tasks with Implicit Constraints
Ali Ahmadvand, Negar Arabzadeh, Julia Kiseleva +7
Current interactive systems with natural language interfaces lack the ability to understand a complex information-seeking request which expresses several implicit constraints at on…
MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed
Sujay Kumar Jauhar, Nirupama Chandrasekaran, Michael Gamon +1
Tasks are a fundamental unit of work in the daily lives of people, who are increasingly using digital means to keep track of, organize, triage and act on them. These digital tools…
Characterizing Stage-Aware Writing Assistance in Collaborative Document Authoring
Bahareh Sarrafzadeh, Sujay Kumar Jauhar, Michael Gamon +2
Writing is a complex non-linear process that begins with a mental model of intent, and progresses through an outline of ideas, to words on paper (and their subsequent refinement).…
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
Nabil Hossain, John Krumm, Michael Gamon +1
This paper describes the SemEval-2020 shared task "Assessing Humor in Edited News Headlines." The task's dataset contains news headlines in which short edits were applied to make t…
"President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines
Nabil Hossain, John Krumm, Michael Gamon
We introduce, release, and analyze a new dataset, called Humicroedit, for research in computational humor. Our publicly available data consists of regular English news headlines pa…