2:10 SHARP - introduction

2:20 Concorde: kitchen sink mailing lists for busy people - Kevin McGowan

2:30 DanSir: Dan's NSIR extension - Dan Levi

2:40 Question answering using statistical translation models - Ben Waite

2:50 Principal component analysis: auhorship ID between London and Poe - Ping Yu

3:00 Meta-evaluation of summarizers - Dan Tam

3:10 Novelty and redundancy detection in text summarization - Anna Osepayshvili

3:20 Novelty detection in repeated MEAD summarization - Richard Murphy

3:50 Maximal Marginal Relevance ordered text summarizer - Tim Allison

4:00 Temporal references in multi-document summarization - Erin Doumpoulaki

4:10 Timeline generation - Wilmin Martono

4:20 A Post-Summarization Human Practice and Knowledge Based Sentence
    Compression Scheme - Yang Ye

4:30 Standardized terminologies for nursing - Yvonne Ford

4:40 Applying machine learning to question answering systems - Brian Cook

4:50 SVM in question answering - Yong Huang

5:00 Query Modulation - Baaba Baiden

5:10 NL generation from dependency structures using FUF/Surge - Jahna Otterbacher