Clinical records contain International Classification of Diseases (ICD) codes summarizing the primary and/or secondary diseases of patients; these codes can be used as evidence to find relevant documents. In this paper we propose a novel approach to locally build a knowledge source from the existing data set to be used for query expansion, exploiting the ICD codes. While this approach does not ...

It is the second time that the Chinese Information Processing group of NLPR participates in TREC. In the past, we have investigated the use of two key technologies: Window-based weighting method and Semantic Tree Model for query expansion, with success, to tasks in novelty and robust tracks. We focused on the Robust Retrieval Track at this year’s conference. Based on the previous IR architectur...

This paper describes a query expansion strategy for domain specific information retrieval. Components of compounds are used selectively. Only parts belonging to the same domain as the compound itself will be used in expanded queries.

In this year’s Enterprise track experiment, we focused on testing Blind Relevance Feedback, especially using online Wikipedia as query expansion collection. We demonstrated that using Wikipedia as query expansion collection returns better infNDCG than not using it.

We evaluate the feasibility of applying currently available research tools to the problem of cross lingual QA. We establish a task baseline by combining a cross lingual IR system with a monolingual QA system in a very short amount of time. A higher precision strategy involves applying the monolingual QA system to an automatically translated question, assumed to be correct. A higher coverage str...

In this paper, we propose two weighting techniques to improve performances of query expansion in biomedical document retrieval, especially when a short biomedical term in a query is expanded with its synonymous multi-word terms. When a query contains synonymous terms of different lengths, a traditional IR model highly ranks a document containing a longer terminology because a longer terminology...

In TREC 2011, we are motivated to participate in the medical record retrieval task, namely TRECMed. Our research focused on the evaluation of term weighting models and query expansion techniques within the medical record retrieval task. We compared the performance of different state-of-the-art term weighting models for retrieving patient records that might best suit the clinical information nee...

We developed a patent retrieval system with the corresponding very large number of patents from NTCIR6 Patent Retrieval Task. And we developed a method of refining and emphasizing query. Our retrieval system consisting of four PCs could make indices of all claims in specifications for ten years. Then we confirmed that the query emphasis was better mean average precision than merely query expans...

This document describes our first attempt at Slot Filling task at TAC-KBP 2012. We construct a baseline system consisting of four components, i.e. query expansion, document retrieval, pattern learning and matching, and answer selection and filtering. We are pleased to identify areas for improvement and directions for exploring new approaches based on the groundwork prepared for this task.

In this paper we present results of our initial research on genre tagging. We approach the task from information retrieval perspective using a relatively small number of labeled videos in the development set to mine query expansion terms characteristic of each genre. We also investigate which sources of information associated with the videos or extracted from their audio channel, e.g. title, de...