Cristian Danescu-Niculescu-Mizil

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Cristian Danescu-Niculescu-Mizil is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
A computational approach to politeness with application to social factors ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference English 2013 We propose a computational framework for identifying linguistic aspects of politeness. Our starting point is a new corpus of requests annotated for politeness, which we use to evaluate aspects of politeness theory and to uncover new interactions between politeness markers and context. These findings guide our construction of a classifier with domain-independent lexical and syntactic features operationalizing key components of politeness theory, such as indirection, deference, impersonalization and modality. Our classifier achieves close to human performance and is effective across domains. We use our framework to study the relationship between politeness and social power, showing that polite Wikipedia editors are more likely to achieve high status through elections, but, once elevated, they become less polite. We see a similar negative correlation between politeness and power on Stack Exchange, where users at the top of the reputation scale are less polite than those at the bottom. Finally, we apply our classifier to a preliminary analysis of politeness variation by gender and community. 0 0
Characterizing and curating conversation threads: Expansion, focus, volume, re-entry Comment threads
Conversations
Facebook
Feed ranking
Likes
On-line communities
Recommendation
Social network
User generated content
Wikipedia
WSDM 2013 - Proceedings of the 6th ACM International Conference on Web Search and Data Mining English 2013 Discussion threads form a central part of the experience on many Web sites, including social networking sites such as Facebook and Google Plus and knowledge creation sites such as Wikipedia. To help users manage the challenge of allocating their attention among the discussions that are relevant to them, there has been a growing need for the algorithmic curation of on-line conversations - - the development of automated methods to select a subset of discussions to present to a user. Here we consider two key sub-problems inherent in conversational curation: length prediction - - predicting the number of comments a discussion thread will receive - - and the novel task of re-entry prediction - - predicting whether a user who has participated in a thread will later contribute another comment to it. The first of these sub-problems arises in estimating how interesting a thread is, in the sense of generating a lot of conversation; the second can help determine whether users should be kept notified of the progress of a thread to which they have already contributed. We develop and evaluate a range of approaches for these tasks, based on an analysis of the network structure and arrival pattern among the participants, as well as a novel dichotomy in the structure of long threads. We find that for both tasks, learning-based approaches using these sources of information. 0 0
For the sake of simplicity: unsupervised extraction of lexical simplifications from Wikipedia HLT English 2010 0 0