ACM Transactions on Information Systems (TOIS)
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Experiment on linguistically-based term associations
Information Processing and Management: an International Journal
A network approach to probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
ACTS: an automatic Chinese text segmentation system for full text retrieval
Journal of the American Society for Information Science
Fast and quasi-natural language search for gigabytes of Chinese texts
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
A stochastic finite-state word-segmentation algorithm for Chinese
Computational Linguistics
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A new method of weighting query terms for ad-hoc retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
On relevance weights with little relevance information
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Learning routing queries in a query zone
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Chinese text retrieval without using a dictionary
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Improving two-stage ad-hoc retrieval for short queries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Employing multiple representations for Chinese information retrieval
Journal of the American Society for Information Science
A hidden Markov model information retrieval system
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Local Feedback in Full-Text Retrieval Systems
Journal of the ACM (JACM)
Experiments in Automatic Phrase Indexing For Document Retrieval: A Comparison of Syntactic and Non-Syntactic Methods
Chinese information extraction and retrieval
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
Natural language information retrieval: TIPSTER-2 final report
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
The text retrieval conferences (TRECS)
TIPSTER '98 Proceedings of a workshop on held at Baltimore, Maryland: October 13-15, 1998
Higher precision for two-word queries
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Applying Machine Learning to Text Segmentation for Information Retrieval
Information Retrieval
English-Chinese CLIR using a simplified PIRCS system
HLT '01 Proceedings of the first international conference on Human language technology research
ACM Transactions on Asian Language Information Processing (TALIP)
External query reformulation for text-based image retrieval
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Chinese question-answering: comparing monolingual with english-chinese cross-lingual results
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
WISE'06 Proceedings of the 7th international conference on Web Information Systems
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Both English and Chinese ad-hoc information retrieval were investigated in this Tipster 3 project. Part of our objectives is to study the use of various term level and phrasal level evidence to improve retrieval accuracy. For short queries, we studied five term level techniques that together can lead to good improvements over standard ad-hoc 2-stage retrieval for TREC5-8 experiments. For long queries, we studied the use of linguistic phrases to re-rank retrieval lists. Its effect is small but consistently positive.For Chinese IR, we investigated three simple representations for documents and queries: short-words, bigrams and characters. Both approximate short-word segmentation or bigrams, augmented with characters, give highly effective results. Accurate word segmentation appears not crucial for overall result of a query set. Character indexing by itself is not competitive. Additional improvements may be obtained using collection enrichment and combination of retrieval lists.Our PIRCS document-focused retrieval is also shown to have similarity with a simple language model approach to IR.