The HAIRCUT System at TREC-9
نویسندگان
چکیده
The Hopkins Automated Information Retriever for Combing Unstructured Text (HAIRCUT) is a research IR system developed at the Johns Hopkins University Applied Physics Laboratory (JHU/APL). HAIRCUT benefits from a basic design decision to support flexibility throughout the system. One specific example of this is the way we represent documents and queries; words, stemmed words, character n-grams, multiword phrases are all supported as indexing terms. This year we concentrated our efforts on two of the tasks in TREC-9, the main web task and cross-language retrieval in Chinese and English.
منابع مشابه
The JHU/APL HAIRCUT System at TREC-8
The Johns Hopkins University Applied Physics Laboratory (JHU/APL) is a second-time entrant in the TREC Category A evaluation. The focus of our information retrieval research this year has been on the relative value of and interaction among multiple term types and multiple similarity metrics. In particular, we are interested in examining words and n-grams as indexing terms, and vector models and...
متن کاملA Domain Independent Approach to Clinical Decision Support
Continuing our work from the inaugural running of the Clinical Decision Support track in 2014, we submitted runs to the 2015 evaluation. Our approach this year was very similar to that used in 2014 (Xu et al., 2014). Our submitted runs were created using the JHU HAIRCUT retrieval engine, and featured use of character n-gram indexing and use of pseudo-relevance feedback. The main contribution is...
متن کاملJHU/APL at TREC 2005: QA Retrieval and Robust Tracks
The Johns Hopkins University Applied Physics Laboratory (JHU/APL) focused on the Robust and Question Answering Information Retrieval (QAIR) Tracks at the 2005 TREC conference. For the Robust Track, we attempted to use the difference in retrieval scores between the top retrieved and the 100th document to predict performance; the result was not competitive. For QAIR, we augmented each query with ...
متن کاملThe 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. ...
متن کاملCentral Bank Haircut Policy
The paper develops a model to study the optimal choice of the central bank haircut policy. In the presence of uncertainties regrading liquidity needs and asset prices, there is a trade-off between providing liquidity to constrained agents and controlling the abundance of liquidity in the economy. The choice of the haircut involves balancing impacts on the liquidity positions of agents with diff...
متن کامل