| Schedule | |
| Preface | |
|
Probabilistic IR Models Based on Document and
Query Generation John Lafferty and Chengxiang Zhai (Carnegie Mellon University) |
1 |
|
Language Models and Uncertain Inference in
Information Retrieval Norbert Fuhr (University of Dortmund) |
6 |
|
LM vs PM: Where's the Relevance? Karen Sparck Jones (Cambridge University) and Stephen Robertson (Microsoft Research, Cambridge) |
12 |
|
Relevance-Based Language Models: Estimation
and Analysis Victor Lavrenko and Bruce Croft (University of Massachusetts, Amherst) |
16 |
|
Language Models and Probability of Relevance Stephen Robertson (Microsoft Research, Cambridge and City University London) and Djoerd Hiemstra (Microsoft Research, Cambridge and University of Twente) |
21 |
|
Is it the Language Model in Language Modeling? Warren Greiff (The Mitre Corp.) |
26 |
|
The Dual Role of Smoothing in the Language Modeling
Approach Chengxiang Zhai and John Lafferty (Carnegie Mellon University) |
31 |
|
Is Information Retrieval Anything More Than
Smoothing? Jay Ponte (The Mitre Corp.) |
37 |
|
From Latent Semantic Indexing to Language Models
and Back Thomas Hofmann (Brown University) |
42 |
|
Language Model Feature Induction via Discriminative
Techniques Jerry Xiaojin Zhu (Carnegie Mellon University) |
47 |
|
Semantic Text Clusters and Word Classes -- The
Dualism of Mutual Information and Maximum Likelihood Jochen Peters (Philips Research Laboratories) |
55 |
|
Using Language Models for Tracking Events of
Interest Over Time Martijn Spitters and Wessel Kraaij (TNO TPD) |
60 |
|
Topic Models for Summarizing Novelty James Allan, Rahul Gupta, and Vikas Khandelwal (University of Massachusetts, Amherst) |
66 |
|
Unsupervised Topic Discovery Rich Schwartz, Sreenivasa Sista, Timothy Leek (BBN Technologies) |
72 |
|
Sub-Word-Based Language Models for Speech
Recognition: Implications for Spoken Document Retrieval Martha Larson (GMD-IMK) |
78 |
|
Using Compression-Based Language Models for Text
Categorization William J. Teahan and David J. Harper (Robert Gordon University) |
83 |
|
Language Modeling for Good Generation Kevin Knight (USC/Information Sciences Institute) |
88 |
|
Using Models of Score Distributions in
Information Retrieval R. Manmatha, F. Feng and T. Rath (University of Massachusetts, Amherst) |
91 |
|
A Generative Model for Filtering Thresholds Yi Zhang and Jamie Callan (Carnegie Mellon University) |
97 |
| Index |