7:00 – 4:30 ASRC NASA/PhD

• Aaron’s making good progress on building the linear dungeon and recruiting users for the first live test!
• Got the final version of the EAD 2019 paper to review 11 days ago and never saw the email. Needs to be done by the 12th!
• Installed XlsxWriter on my home dev box
• Information Extraction from Online Text — from Opinions to Arguments to Persuasion – Friday, December 7, 2018, 11:00 am-12:00 pm
  • Claire Cardie – Cornell University (Scholar)
  • Argument Mining with Structured SVMs and RNNs
  • Using argumentative structure to interpret debates in online deliberative democracy and eRulemaking
  • A Corpus of eRulemaking User Comments for Measuring Evaluability of Arguments.
  • SparseMAP: Differentiable sparse structured inference
  • EMNLP 2017 – Proceedings of the 4th Workshop on Argument Mining
• The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Here’s a partial list of subjects from the call
  • Dialogue and Interactive Systems
  • Discourse and Pragmatics
  • Document Analysis
  • Generation
  • Information Extraction and Text Mining
  • Sentiment Analysis and Argument Mining
  • Social Media
  • Tagging, Chunking, Syntax and Parsing
  • Textual Inference and Other Areas of Semantics
• Starting Using argumentative structure to interpret debates in online deliberative democracy and eRulemaking
  • Lead author: John Laurence (Scholar), Centre for Argument Technology, University of Dundee, UK
  • Internet Argument Corpus
    • Overview: The Internet Argument Corpus (IAC) is a corpus for research in political debate on internet forums. It consists of ~11,000 disscussions, ~390,000 posts, and some ~73,000,000 words. Subsets of the data have been annotated for topic, stance, agreement, sarcasm, and nastiness among others.
    • The Data: The data is stored in JSON files with most annotations in CSV format (see included readme for details). Python code to load and use the data is included. The zip archive is 158MB.