YFilter at TREC-9

The Bias Problem and Language Models in Adaptive Filtering

We used the YFILTER filtering system for experiments on updating profiles and setting thresholds. We developed a new method of using language models for updating profiles that is more focused on picking informative/discriminative words for query. The new method was compared with the well-known Rocchio algorithm. Dissemination thresholds were set based on maximum likelihood estimation that model...

High-Performance XML Filtering: An Overview of YFilter

We have developed YFilter, an XML filtering system that provides fast, on-the-fly matching of XMLencoded data to large numbers of query specifications containing constraints on both structure and content. YFilter encodes path expressions using a novel NFA-based approach that enables highly-efficient, shared processing for large numbers of XPath expressions. In this paper, we provide a brief tec...

YFilter: Efficient and Scalable Filtering of XML Documents

Soon, much of the data exchanged over the Internet will be encoded in XML, allowing for sophisticated filtering and content-based routing. We have built a filtering engine called YFilter, which filters streaming XML documents according to XQuery or XPath queries that involve both path expressions and predicates. Unlike previous work, YFilter uses a novel NFA-based execution model. In this demon...

The Thisl SDR System at TREC-9

This paper describes our participation in the TREC-9 Spoken Document Retrieval (SDR) track. The THISL SDR system consists of a realtime version of a hybrid connectionist/HMM large vocabulary speech recognition system and a probabilistic text retrieval system. This paper describes the configuration of the speech recognition and text retrieval systems, including segmentation and query expansion. ...

SabIR Research at TREC-9