Presentations & Discussants Schedule


Each student is expected to present one paper in class and to be a discussant for two papers (or for one paper and an invited speaker). If your name does not appear 3 times in the table below (1 presentation + 2 discussants) email your preferred spots (at least 2) to the TA.

Date

Topic and Slides

Discussant
Presenter

Reading

Jan 21st

Introduction and Summarization



Automatic Summarising: Factors and Directions



Automatic Evaluation of Summaries Using N-gram Co-Occurrence Statistics



Discussant Presenter

Jan 28th

Generation for Summarization



Cut and paste based text summarization



Supervised and Unsupervised Learning for Sentence Compression



Sentence Fusion for Multidocument News Summarization



Sentence Compression beyond Word Deletion



Discussant Presenter

Feb 4th

Summarization on the Web

Elizabeth
Shrenik

Efficient web browsing on handheld devices using page and form summarization.Orkut Buyukkokten, Oliver Kaljuvee


Lauren

Web-page summarization using clickthrough data


Mukund
Clement

On the Summarization of Dynamically Introduced Information: Online Discussions and Blogs


Or

Ocelot: a system for summarizing web pages




Discussant Presenter

Feb 11th

Social Networking



Automated discovery and analysis of social networks from threaded discussions
Lauren

From social bookmarking to social summarization: an experiment in community-based summary generation
Weiwei

Joint Group and Topic Discovery from Relations and Text


Kenny
Discovering authorities in question answer communities by using link analysis


Discussant Presenter

Feb 18th

Question Answering


Lauren

Open-Domain Question-Answering


Yang

Natural language based reformulation resource and web exploitation for question answering



Vikas

Improving QA Accuracy by Question Inversion


Shrenik

A classification-based approach to question answering in discussion boards




Discussant Presenter

Feb 25th

Question Answering

Junfeng

Invited Speaker: Sanda Harabagiu, Language Computer Corporation


Vikas

















Discussant Presenter

Mar 4th

Entailment

Mukund

Learning to recognize features of valid textual entailments


Andrew

Containment, Exclusion, and Implicativity: A Model of Natural Logic for Textual Inference



Boyi

An Inference Model for Semantic Entailment in Natural Language



Or

An Inference Model for Semantic Entailment in Natural Language Recognition




Discussant Presenter

Mar 11th

Generating online content

Boyi

Invited Speaker: Regina Barzilay, MIT


Or

Automatically Generating Wikipedia Articles: A Structure-Aware Approach







Gary
Overview of research activities @ Bloomberg



Discussant Presenter

Mar 18th

Spring Break







Discussant Presenter

Mar 25th

Opinions

Weiwei
Mohamed

Get out the vote: Determining support or opposition from Congressional floor-debate transcripts


Clem
Andrew

Annotating Expressions of Opinions and Emotions in Language


Mohamed
Vinod

Identifying expressions of opinion in context


Elizabeth

Just How Mad are You? Finding Strong and Weak Opinion Caluses




Discussant Presenter

Apr 1st

Sentiment Analysis for the Web

Mohamed
Elizabeth

Multiple Aspect Ranking using the Good Grief Algorithm

Vikas

Learning Document-Level Semantic Properties from Free-text Annotations


Shrenik
Mukund

Show me the money! Deriving the Pricing Power of Product Features by Mining Consumer Reviews


Vinod

Sentiment Summarization: Evaluating and Learning User Preferences




Discussant Presenter

Apr 8th

Multilingual Tasks and Approaches

Clem

Web-based Models for Natual Language Processing


Kenny

The Web as a Parallel Corpus


Kenny
Weiyun

Translating Named Entities Using Monolingual and Bilingual Resources


Yang

Answering English Questions using Foreign-Language, Semi-Structured Sources
Boyi

Web as Corpus



Discussant Presenter

Apr 15th

Search

Junfeng

Invited Speaker: Wisam Dakka, Google


Weiyun

Learning query-biased web page summarization


Weiyun

Fast generation of result snippets in web search



Discussant Presenter

Apr 22nd

IE and Semantics on the Web

Andrew
Junfeng

Strategies for Lifelong Knowledge Extraction from the Web

Vinod

Machine Reading


Yang

Analysing Wikipedia and Gold-Standard Corpora for NER Training

Elizabeth
Weiwei

Deriving Generalized Knowledge from Corpora Using WordNet Abstraction