Big Data Seminar

Research in NLP and IR areas has the major impact on the development of many significant applications in our world. Search engines and machine translators are only two examples of a huge variety of useful applications that are conducted in these two areas. The objective of this seminar is to introduce several topics in the NLP and IR. This seminar is an opportunity for constructing new interesting knowledge of how the computer can understand human language texts, analyze them, and retrieve the relevant and important parts and insights based on expressed information need.

In weekly lecture units, students will explore different selected topics in NLP and IR, such as:

• Sentiment Analysis.
• Discourse Analysis.
• Argumentation Mining.
• Word Embedding.
• Automated Essay Scoring.
• Clustering of News Articles.
• Relation Extraction.
• Textual Entailment.
• Wikipedia in IR and NLP.
• Multi-document Summarization.
• Computational Ethics.
• Known-item Refinding.
• Justification for Recommendations.

Particularly, each student will pick one paper from the selected topics and present it in a long talk.

• [November 2nd, 2015]
  Al-khatib, Khalid. Introduction to the NLP and IR Seminar. [slides]

• [November 16, 2015]
  Al-khatib, Khalid. Argumentation Analysis of Discussions in Wikipedia Talks. [slides]

• [November 23, 2015]
  Al-khatib, Khalid. Analysis of Discussions in Wikipedia Talks: Dimensions and Materials. [slides]

• [November 30, 2015]
  Erdan Genc. Structure of Argumentation - intro. [slides]
  Roxanne El Baff. Speech Act - intro. [slides]

• [December 7th, 2015]
  Ehsan Fatehifar. Types of Dialogue. [slides]

• [January 11th, 2016]
  Ehsan Fatehifar. Types of Dialogue-Examples. [slides]
  Roxanne El Baff. Recognizing Dialog Acts in Wikipedia Talk Pages. [slides]

• [February 1, 2016]
  Roxanne El Baff. Speech Acts and Arguments.pdf. [slides]