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NTCIR-3 Chinese, Cross Language Retrieval Experiments Using PIRCS

K. L. Kwok
2002 NTCIR Conference on Evaluation of Information Access Technologies  
We participated in the monolingual Chinese, English-Chinese cross language and multilingual retrieval tasks using our PIRCS retrieval system.  ...  Two separate retrieval lists were obtained and later combined as final result for some submissions. For cross-lingual and multilingual retrieval, only short-word indexing was used.  ...  Acknowledgment This work was partially supported by the Space and Naval Warfare Systems Center San Diego, under grant No. N66001-1-8912. The Third NTCIR Workshop, Sep.2001 -Oct. 2002  ... 
dblp:conf/ntcir/Kwok02 fatcat:dtoaohfoffdt5fn3ebnbaovtki

Improving English and Chinese ad-hoc retrieval

Kui-Lam Kwok
1996 Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -  
We investigated both English and Chinese ad-hoc information retrieval (IR).  ...  Part of our objectives is to study the use of term, phrasal and topical concept level evidence, either individually or in combination, to improve retrieval accuracy.  ...  Section 4 presents our work for English ad-hoc retrieval employing term, phrasal and topical concept levels of evidence. Section 5 describes various Chinese retrieval experiments.  ... 
doi:10.3115/1119089.1119113 dblp:conf/tipster/Kwok98 fatcat:if2hd7jfajejnnn4vyod7z76ea

NTCIR-2 Chinese, Cross Language Retrieval Experiments Using PIRCS

K. L. Kwok
2001 NTCIR Conference on Evaluation of Information Access Technologies  
We participated in the monolingual Chinese and English-Chinese cross language retrieval track using our PIRCS retrieval system.  ...  Shortword with character representation was used for both documents and queries.  ...  Acknowledgments This work was partially supported by the Space and Naval Warfare Systems Center San Diego, under grant No. N66001-1-8912. Norbert Dinstl helped formatting the queries and collections.  ... 
dblp:conf/ntcir/Kwok01 fatcat:pvnp5qi6ffcfjn4pm5t4trferm

Different Retrieval Models and Hybrid Term Indexing

Robert W. P. Luk
2002 NTCIR Conference on Evaluation of Information Access Technologies  
Retrieval effectiveness depends on both the retrieval model and how terms are extracted and indexed. For Chinese, Japanese and Korea text, there are no spaces to delimit words.  ...  In this evaluation, we found that using the 2-Poisson model with hybrid term indexing can be effective in retrieval.  ...  Kwok for commenting our implementation of Pircs, which differs from his system and to Prof. K.F. Wong for making available the TREC data for experimentation.  ... 
dblp:conf/ntcir/Luk02 fatcat:vloreemywjahtdl55j2x3asqle

Cross-Language Chinese Text Retrieval in NTCIR Workshop

Kuang-hua Chen, Hsin-Hsi Chen
2001 SIGIR Forum  
CHTR tasks fall into two categories: Chinese-Chinese IR (CHIR) and English-Chinese IR (ECIR).  ...  This article reports the results of Chinese Text Retrieval (CHTR) tasks in NTCIR Workshop 2 and the future plan of NTCIR workshop.  ...  We would like to thank the participants for their contributions and the relevance judges for their hard working. Special thanks are due to Dr. Noriko Kando for her helps.  ... 
doi:10.1145/511144.511149 fatcat:sg46hp56trfm7likgmsr2thpgi

Testing an Entity Ranking Function for English Factoid QA

Kui-Lam Kwok, Norbert Dinstl
2007 Text Retrieval Conference  
This procedure has been used in our English-Chinese CLQA system [4] , and further updated based on questions from TREC 2006.  ...  Our TREC-2006 experiments perform similarly to TREC-2007 and blog data does not seem to have much influence on our simple approach.  ... 
dblp:conf/trec/KwokD07 fatcat:hsbp6jkh2fedvmdlnv6xaefd2m

The TREC-2001 Cross-Language Information Retrieval Track: Searching Arabic Using English, French or Arabic Queries

Fredric C. Gey, Douglas W. Oard
2001 Text Retrieval Conference  
Ten groups participated in the TREC-2001 cross-language information retrieval track, which focussed on retrieving Arabic language documents based on 25 queries that were originally prepared in English.  ...  This was the first year in which a large Arabic test collection was available, so a variety of approaches were tried and a rich set of experiments performed using resources such as machine translation,  ...  and insights along the way, and to Kareem Darwish for his comments on an earlier version of this paper.  ... 
dblp:conf/trec/GeyO01 fatcat:cwkg2mal3zgrpewhdtyo333tea

The Chinese Text Retrieval Tasks of NTCIR Workshop 2

Kuang-hua Chen, Hsin-Hsi Chen
2001 NTCIR Conference on Evaluation of Information Access Technologies  
This paper is a report of Chinese Text Retrieval (CHTR) tasks in NTCIR Workshop 2. CHTR tasks fall into two categories: Chinese-Chinese IR (CHIR) and English-Chinese IR (ECIR).  ...  The definitions, schedules, test collection (CIRB010), search results, evaluation, and initial analyses of search results of CHIR and ECIR are discussed in this paper.  ...  We would like to thank the participants for their contributions and the relevance judges for their hard working. Special thanks are due to Dr. Noriko Kando for her substantial help.  ... 
dblp:conf/ntcir/ChenC01 fatcat:zfo5vftrpfd7xo7fxqarzhabvy

Comparing representations in Chinese information retrieval

K. L. Kwok
1997 Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '97  
The retrieval collection is the approximately 170 MB TREC-5 Chinese corpus of news articles, and 28 queries that are long and rich in wordings.  ...  Three representation methods are empirically investigated for Chinese information retrieval: 1-gram (single character), bigram (two contiguous overlapping characters), and short-word indexing based on  ...  Conclusion Within the TREC-5 Chinese retrieval environment using our PIRCS engine and where the queries are long and rich, bigram indexing is effective and performs as well as short-word indexing.  ... 
doi:10.1145/258525.258531 dblp:conf/sigir/Kwok97 fatcat:g44yl7qpz5hphjpwalrnthquxm

Comparing representations in Chinese information retrieval

K. L. Kwok
1997 SIGIR Forum  
The retrieval collection is the approximately 170 MB TREC-5 Chinese corpus of news articles, and 28 queries that are long and rich in wordings.  ...  Three representation methods are empirically investigated for Chinese information retrieval: 1-gram (single character), bigram (two contiguous overlapping characters), and short-word indexing based on  ...  Conclusion Within the TREC-5 Chinese retrieval environment using our PIRCS engine and where the queries are long and rich, bigram indexing is effective and performs as well as short-word indexing.  ... 
doi:10.1145/278459.258531 fatcat:nn4ykcejbnbnxcl42mqubwqzfu

Probability-Based Chinese Text Processing and Retrieval

Xiangji Huang, Stephen Robertson, Nick Cercone, Aijun An
2000 Computational intelligence  
We discuss the use of probability-based natural language processing for Chinese text retrieval. We focus on comparing different text extraction methods and probabilistic weighting methods.  ...  Several document processing methods and probabilistic weighting functions are presented. A number of experiments have been conducted on large standard text collections.  ...  We also would like to thank University of Waterloo and University of Regina for providing computer facilities for conducting the experiments reported in the paper.  ... 
doi:10.1111/0824-7935.00126 fatcat:mja2yidr3velzipwmfkauy57oy

Overview of CLIR Task at the Fifth NTCIR Workshop

Kazuaki Kishida, Kuang-hua Chen, Sukhoon Lee, Kazuko Kuriyama, Noriko Kando, Hsin-Hsi Chen, Sung-Hyon Myaeng
2005 NTCIR Conference on Evaluation of Information Access Technologies  
The purpose of this paper is to overview research efforts at the NTCIR-5 CLIR task, which is a project of large-scale retrieval experiments on cross-lingual information retrieval (CLIR) of Chinese, Japanese  ...  , Korean, and English.  ...  NTCIR-5 Chinese, English, Korean cross language information retrieval experiments using PIRCS In Proceedings of the Fifth NTCIR Workshop. [12] Yang Lingpeng and Ji Donghong. I2R at NTCIR5.  ... 
dblp:conf/ntcir/KishidaCLKKCM05 fatcat:h6wk76opi5bsxamfqpvsohvvyu

NTCIR-6 Monolingual Chinese and English-Chinese Cross-Lingual Question Answering Experiments using PIRCS

Kui-Lam Kwok, Peter Deng, Norbert Dinstl
2007 NTCIR Conference on Evaluation of Information Access Technologies  
In monolingual Chinese QA, questions are classified based on cue-word and meta-keyword usage patterns. Retrieval is done using sentence units, and indexing is based on bigrams and characters.  ...  English-Chinese CLQA starts with English question classification also based on an approach similar to Chinese. Three paths of translation render the question into Chinese strings.  ...  Conclusion We performed monolingual Chinese factoid QA experiments using only entity extraction software with our PIRCS retrieval and ad hoc answer ranking formulae and parameters.  ... 
dblp:conf/ntcir/KwokDD07 fatcat:teycgoaoqnbnbjpqwlsdzx4huy

Overview of CLIR Task at the Third NTCIR Workshop

Kuang-hua Chen, Hsin-Hsi Chen, Noriko Kando, Kazuko Kuriyama, Sukhoon Lee, Sung-Hyon Myaeng, Kazuaki Kishida, Koji Eguchi, Hyeon Kim
2002 NTCIR Conference on Evaluation of Information Access Technologies  
That is to say, we will have retrieval task of Chinese queries against Chinese and Japanese documents, but we could not provide retrieval task of Chinese queries against Chinese and Korean documents.  ...  Basically, 4 languages will involve in the CLIR task: Chinese, English, Japanese, and Korean. The test collection used in CLIR Task is composed of news articles in the aforementioned 4 languages.  ...  We are grateful to CLEF and TREC for their helps in creating topics. We would like to thank the participants for their contributions and the assessors for their hard working in relevance judgment.  ... 
dblp:conf/ntcir/ChenCKKLMKEK02 fatcat:hmnp436xczgmrgoqkabgwlp2mm

The Text REtrieval Conferences (TRECs)

Donna Harman
1996 Proceedings of a workshop on held at Vienna, Virginia May 6-8, 1996 -  
Thanks also go to the TREC program committee and the staff at NIST. The TREC tracks could not happen without the efforts of the track coordinators; our special thanks to them.  ...  Acknowledgments The authors gratefully acknowledge the continued support of the TREC conferences by the Intelligent Systems Office of the Defense Advanced Research Projects Agency.  ...  Table 3 .1 shows the statistics for all the English document collections used in TREC. TREC-5 used disks 2 and 4 for the ad hoc testing, while TRECs 6 and 7 used disks 4 and 5 for ad hoc testing.  ... 
doi:10.3115/1119018.1119026 dblp:conf/tipster/Harman96 fatcat:wjklhj3nwnenfkfxben2756yla
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