1 / 9

Discourse and Dialogue 2011: Project

Discourse and Dialogue 2011: Project. Persuasion in Social Media. Persuasion and argumentation in social media websites and forums. NLDS Dialogue Data. Data collected in the last year in collaboration with FoxTree’s Lab & Anand’s SemLab Convinceme .net 4forums .org Carm . org

von
Download Presentation

Discourse and Dialogue 2011: Project

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Discourse and Dialogue 2011: Project

  2. Persuasion in Social Media • Persuasion and argumentation in social media websites and forums

  3. NLDS Dialogue Data • Data collected in the last year in collaboration with FoxTree’s Lab & Anand’sSemLab • Convinceme.net • 4forums.org • Carm.org • Quote/Response Task • P1, P2, P3 task • Also could put more stuff out on Mturk. • Also film scripts from IMSDb • These are downloadable from nldslab.soe.ucsc.edu

  4. IMSDb • Subjective context: reports the thoughts, feelings attitudes etc of a person, not necessarily factual • => all dialogue is subjective, could or could not be true, assertion is attributed to a speaker • Stories/Films etc depend on subjective contexts • Taking the perspective of a narrator, or the person thru whose eyes the story is seen. • In 240 read paper on social networks in novels. Could be done with film. • Anything talk about later wrt the social media data could probably be done with the film corpus.

  5. Using Mechanical Turk to get labels • http://pcon.soe.ucsc.edu/mturk_external/123/123.php?pageId=1597&assignmentId=ASSIGNMENT_ID_NOT_AVAILABLE&hitId=1HNBWKACQBSEV0YDIOYSBWM1C0YNIP • http://pcon.soe.ucsc.edu/mturk_external/qralt/qralt.php?pageId=1398&assignmentId=ASSIGNMENT_ID_NOT_AVAILABLE&hitId=1CEJFP6T9BRSEF7QNPYEV9U37T7Y6W • http://pcon.soe.ucsc.edu/mturk_external/qr/qr.php?pageId=1398&assignmentId=ASSIGNMENT_ID_NOT_AVAILABLE&hitId=1CEJFP6T9BRSEF7QNPYEV9U37T7Y6W

  6. Project 1 page proposal (draft) • What data set you want to work on • Your own our some part of NLDS data • Which discourse/dialogue modelling tasks • Referring expressions (pronouns, the christian right) • Discourse Relations (Implicit relations and those signalled by cue words) • Interaction between discourse relations and other things • Evaluative, Sentiment, Subjective words or phrases or contexts • Detecting anger or heat or hotspots

  7. Project 1 page proposal (cont) • Conversational Structures • Agreement/Disagreement • Sarcasm, Attackingness, Insult/Respect, Own Argument • Initiative Response units (Wang Rose paper) • Social networks (papers week after next) • Politeness markers • What your approach will be (roughly) • E.g. I plan to try to duplicate what is done in paper X • Except that for this data I think I will need to Blah. • If you would like to work on a team • Possible benefits of error analysis on our current results

  8. Robeson & Michael • Have been working on some software to make it easier to generate counts/features for various things • Will tell you about it in a minute. • Beta testers

  9. Other stuff we have • Some scripts for making html files to show things that annotators didn’t agree on (for error analysis) • Big Table with a row for each post • Tables of counts of various aspects of posts • Show example of rebuttals • Distributions of scores for annotations

More Related