| Date | Topic | Readings | Presenter(s) |
|---|---|---|---|
| Aug 31 | Course introduction; Overview of Information Retrieval Research | ChengXiang Zhai | |
| Sept 7 | Information Retrieval: Evaluation | Minimal test collections for retrieval evaluation | Hui Fang |
| Sept 14 | Information Retrieval: Retrieval Models | Adapting Ranking SVM to Doc Retrieval | Xuanhui Wang |
| Sept 21 | Information Retrieval: Evaluation | Evaluation by Comparing Result Sets in Context | Xuehua Shen |
| Sept 28 | Information Retrieval: Difficult Queries | On ranking the effectiveness of searches | Azadeh Shakery |
| Oct 5 | Information Retrieval: Difficult Queries | What makes a query difficult? | Bin Tan |
| Oct 12 | Machine Learning: Generative Models | Modeling Word Burstiness Using the Dirichlet Distribution | Qiaozhu Mei |
| Oct 19 | Machine Learning: Clustering | An Impossibility Theorem for Clustering | Xuanhui Wang |
| Oct 26 | Machine Learning: SVM | Training linear SVMs in linear time | Jing Jiang |
| Nov. 2 | Machine Learning: Generative Models | Pachinko Allocation: DAG-structured Mixture Models of Topic Correlations | Qiaozhu Mei |
| Nov. 9 | Natural Language Processing: Lexical Acquisition | You Can't Beat Frequency (Unless You Use Linguistic Knowledge) | Hui Fang |
| Nov. 16 | Natural Language Processing: Word Segmentation | Contextual Dependencies in Unsupervised Word Segmentation | Mandar Rahurkar |
| Nov. 23 | No class (Thanksgiving) | ||
| Nov. 30 | Natural Language Processing: Sentment Analysis | Determining Term Subjectivity and Term Orientation for Opinion Mining | Alex Kotov |
| Dec. 7 | Natural Language Processing: Information Extraction | Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE | Jing Jiang |