Search Results for author:
Found 22 papers, 2 papers with code
Actionable Email Intent Modeling with Reparametrized RNNs
Emails in the workplace are often intentional calls to action for its recipients.
Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer
In this paper, we present a general framework for easily and effectively transferring neural models from English to other languages.
``President Vows to Cut \textlessTaxes\textgreater Hair'': Dataset and Analysis of Creative Text Editing for Humorous Headlines
We introduce, release, and analyze a new dataset, called Humicroedit, for research in computational humor.
"President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines
We introduce, release, and analyze a new dataset, called Humicroedit, for research in computational humor.
Modeling the Relationship between User Comments and Edits in Document Revision
Thus, in this paper we explore the relationship between comments and edits by defining two novel, related tasks: Comment Ranking and Edit Anchoring.
SemEval-2020 Task 7: Assessing Humor in Edited News Headlines
The second subtask is to predict, for a pair of edited versions of the same original headline, which is the funnier version.
Characterizing Stage-Aware Writing Assistance in Collaborative Document Authoring
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).
MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed
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.
Making Large Language Models Interactive: A Pioneer Study on Supporting Complex Information-Seeking Tasks with Implicit Constraints
Current interactive systems with natural language interfaces lack the ability to understand a complex information-seeking request which expresses several implicit constraints at once, and there is no prior information about user preferences e. g.,"find hiking trails around San Francisco which are accessible with toddlers and have beautiful scenery in summer", where output is a list of possible suggestions for users to start their exploration.
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users
To develop better tag prediction across diverse communities and domains, we performed a thorough analysis of users' tagging behavior in 17 StackExchange communities.
LITE: Intent-based Task Representation Learning Using Weak Supervision
Users write to-dos as personal notes to themselves, about things they need to complete, remember or organize.
One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents
Document authoring involves a lengthy revision process, marked by individual edits that are frequently linked to comments.
