Jon Chamberlain
University of Essex
63 Papers
357 Citations
Jon Chamberlain is an academic researcher from University of Essex. The author has contributed to research in topics: Phrase & Task (project management). The author has an hindex of 16, co-authored 63 publications.
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Papers
Phrase Detectives: A Web-based collaborative annotation game
Jon Chamberlain,Massimo Poesio,Udo Kruschwitz +2 more
- 01 Jan 2008
TL;DR: The first version of Phrase Detectives is presented, to the authors' knowledge the first game designed for collaborative linguistic annotation on the Web and applying this method to linguistic annotation tasks like anaphoric annotation.
•Proceedings Article
Phrase detectives: utilizing collective intelligence for internet-scale language resource creation
Massimo Poesio,Jon Chamberlain,Udo Kruschwitz,Livio Robaldo,Luca Ducceschi +4 more
- 25 Jul 2015
TL;DR: The Phrase Detectives game as discussed by the authors is an interactive online game-with-a-purpose for creating anaphorically annotated resources that makes use of a highly distributed population of contributors with different levels of expertise.
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Exploring Language Style in Chatbots to Increase Perceived Product Value and User Engagement
Ela Elsholz,Jon Chamberlain,Udo Kruschwitz +2 more
- 08 Mar 2019
TL;DR: This work explores how adding language style to e-commerce chatbots can be used to increase user satisfaction, perceived product value, user interest in a product, and user engagement with a chatbot service.
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Constructing an Anaphorically Annotated Corpus with Non-Experts: Assessing the Quality of Collaborative Annotations
Jon Chamberlain,Udo Kruschwitz,Massimo Poesio +2 more
- 07 Aug 2009
TL;DR: This paper reports on the ongoing work of Phrase Detectives, an attempt to create a very large anaphorically annotated text corpus and shows that this approach could be used to create large, high-quality natural language resources.
31
Using Social Media for Biomonitoring: How Facebook, Twitter, Flickr and Other Social Networking Platforms Can Provide Large-Scale Biodiversity Data
Jon Chamberlain
- 01 Jan 2018
TL;DR: Social network groups that were set up specifically for users to exchange biodiversity information show a high workrate, fast response time, short message lifespan and more in-thread activity and discussion.
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