NTCIR-3 Patent Retrieval Experiments at ULIS

NTCIR-3 Cross-Language IR Experiments at ULIS

This paper describes our retrieval system for the NTCIR-3 CLIR task, focusing on Japanese and English. We integrate query and document translation methods to improve retrieval accuracy, and perform clustering to improve browsing efficiency. In query translation, to derive possible translations for user queries, we use dictionaries and perform a transliteration method, which generates translatio...

Experiments on Cross-language and Patent Retrieval at NTCIR-3 Workshop

The Berkeley group participated in the crosslanguage retrieval task and the patent retrieval task at the third NTCIR workshop. This paper describes our experiments on cross-language and patent retrieval. We present an automatic relevance feedback procedure for document ranking formula based on logistic regression, and a procedure for automatically extracting Chinese/Japanese translations of Eng...

Cross-Language Information Retrieval at ULIS

NTCIR-5 Patent Retrieval Experiments at Hitachi

In NTCIR-5, we used five retrieval methods proposed in NTCIR-4: (1) query term weighting using only document frequency, (2) stopword deletion, (3) two-stage patent retrieval, (4) term weighting considering “measurement terms”, and (5) related term expansion. In this paper, we compare the retrieval accuracy for two test sets: 34 main queries in NTCIR-4 and 1189 new queries in NTCIR-5. Then, we e...

POSTECH at NTCIR-5 Patent Retrieval: Smoothing Experiments in a Language Modeling Approach to Patent Retrieval

This report describes the experimental results of our participation at the Document Retrieval Subtask of NTCIR-5 Patent Retrieval Task. Unlike newspaper articles which belong to the main document type handled in previous information retrieval experiments, patent documents have many different characteristics in terms of length, technicality, structureness, etc. Among these, we focus on the lengt...