NTCIR-7 Patent Mining Experiments at RALI

KNN and Re-ranking Models for English Patent Mining at NTCIR-7

This paper describes our English patent mining system for NTCIR-7 patent mining task which maps a research paper abstract into IPC taxonomy. Our system is basically under the k-Nearest Neighboring framework, in which various similarity calculation and ranking methods are used. We employ two re-ranking techniques to improve the performance by the use of richer features. Our systems performed wel...

XRCE's Participation to Patent Mining Task at NTCIR-7

Using the Multi-level Classification Method in the Patent Mining Task at NTCIR-7

A patent includes a great deal of practical technical information, and plays an important role in promoting scientific development. The research on patent classification and retrieval has significant application value. A patent is a special technical text with strict hierarchical classification system and normalized structure, and there are a number of relations between patents and their consti...

RALI Experiments in IR4QA at NTCIR-7

In this report, we examine what information retrieval techniques can help identify documents that contain answers to different types of question. In particular, we exploit different external resource according to the type of question. In particular, Wikipedia will be exploited for identifying personal names and their translation, as well as biography-related keywords. Google search engine is us...

Multi-label Classification using Logistic Regression Models for NTCIR-7 Patent Mining Task

We design a multi-label classification system based on a machine learning approach for the NTCIR-7 Patent Mining Task. In our system, we employ a logistic regression model for each International Patent Classification (IPC) code that determines the IPC code assignment of research papers. The logistic regression models are trained by using patent documents provided by task organizers. To mitigate...