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ACL 2010

ACL 2010. Thuy Dung Nguyen. Outlines. Our group work: keyprhase extraction system Invited talks Towards a Psycholinguistics of Social Interaction by Zenzi M Griffin, University of Texas at Austin Computational Advertising by Andrei Broder , Yahoo! Research IBM best student paper

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ACL 2010

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  1. ACL 2010 Thuy Dung Nguyen

  2. Outlines • Our group work: keyprhase extraction system • Invited talks • Towards a Psycholinguistics of Social Interaction by Zenzi M Griffin, University of Texas at Austin • Computational Advertising by Andrei Broder, Yahoo! Research • IBM best student paper • Extracting Social Networks from Literary Fiction by David Elson, Nicholas Dames and Kathleen McKeown

  3. SemEval Task 5: Keyphrase Extraction for Scientific Articles • Our approach: utilize document logical structure (given by ParsCit) • identify which sections of the document contain the most keyphrases • shorten input text to contain only those sections: title, abstract, introduction, related works, conclusion & 1st sentence of each paragraph of other sections • increase precision but not sacrify recall. • final result : ranked 2nd out of 19 teams. • Other approaches: • make use of document logical structure • similar features: TFIDF, first occurrence, phrase length, phrase’s occurrence in important sections, statistics of co-usage of keyphrases in large publication repository (HAL, Europarl)

  4. Invited talk 1 Study which factors influence errors in addressing people by name • Shared roles • Similar social relationship (boyfriend/girlfriend, family members, dependants) • Shared features • Gender, age, physical similarity • Same initial sound in name (Cathy, Ken)

  5. Invited talk 2 Computational Advertising • Challenge: find “best match" between a given user in a given context and a suitable advertisement. • Previous approach: matching based on similar words/phrases in both the webpage and the ad • Yahoo! Research: not only matches ads based on keywords but on the general topic. • Classify webpages and ads into large tree of topics • Map ad and webpage to a specific node on the tree • Leverage the nodes for better matching

  6. IBM best student paper Extracting Social Networks from Literary Fictions • Construct social networks among characters in 19th century British novels • Provide evidence that these networks do not fit 2 theories provided by literacy scholars • There is an inverse correlation between the amount of the dialogue and the number of characters • Novel setting (urban or rural) would have an effect on the structure of social network - more interactions occurring in rural communities than urban communities

  7. IBM best student paper • What’s the application of the research? • Using statistical method to test the validity of theories about social interaction in real world and their representation in novels

  8. Others • Best long paper Beyond NomBank: A Study of Implicit Arguments for Nominal Predicates by Matthew Gerber and Joyce Chai • Challenge paper The Human Language Project: Building a Universal Corpus of the World’s Languages, by Steven Abney and Steven Bird

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