Overview of the TREC 2009 Chemical IR Track

DUTIR at TREC 2009: Chemical IR Track

This paper presents the DUTIR submission to TREC 2009 Chemical IR Track. This track included two tasks: Prior Art (PA) and Technical Survey (TS) tasks. We present a series of experiments on two text retrieval models, BM25 and Language Model for IR (LMIR). For Prior Art task, we focused on formulating the queries from the query patents and date filtering. Moreover, some traditional search techni...

TREC Chemical IR Track 2009: A Distributed Dimensional Indexing Model for Chemical Patent Search

For the TREC-2009 Chemical IR Track, we explore development of a distributed information retrieval system based on a dimensional data model. The indexing model supports named entity identification and aggregation of term statistics at multiple levels of patent structure including individual words, sentences, claims, descriptions, abstracts, and titles. The system was deployed across 15 Amazon W...

DUTIR at TREC 2011 Chemistry Track

This paper presents the DUTIR submission to TREC 2011 Chemical IR Track. Several experiments are done mainly with two retrieval models i.e. Language Model for IR and DFR model. In addition, query expansion technology is also applied to enhance retrieval performance.

Report on the TREC 2009 Experiments: Chemical IR Track

The goal of the first TREC Chemical track was to retrieve documents relevant to a given patent query, within a large collection of patents in chemistry. Regarding this objective, for the Prior Art subtask, our runs performed significantly better that runs submitted by other participating teams. Baseline retrieval methods achieved relatively poor performances (Mean Average Precision = 0.067). Qu...

Relevance Feedback Track Overview : TREC 2008 Chris Buckley , Sabir Research