Analysis on Difficulty Indices for Japanese Named Entity Task.

Difficulty Indices for the Named Entity Task in Japanese

Japanese Named Entity Extraction with Redundant Morphological Analysis

Named Entity (NE) extraction is an important subtask of document processing such as information extraction and question answering. A typical method used for NE extraction of Japanese texts is a cascade of morphological analysis, POS tagging and chunking. However, there are some cases where segmentation granularity contradicts the results of morphological analysis and the building units of NEs, ...

Japanese Named Entity Extraction Evaluation - Analysis of Results

We will report on one of the two tasks in the IREX (Information Retrieval and Extraction Exercise) project, an evaluation-based project for Information Retrieval and Information Extraction in Japanese (Sekine and Isahara, 2000) (IREX Committee, 1999). The project started in 1998 and concluded in September 1999 with many participants and collaborators (45 groups in total from Japan and the US). ...

Named Entity Chunking Techniques in Supervised Learning for Japanese Named Entity Recognition

This 1)aper focuses on the issue of named entity chunking in Japanese named entity recognition. We apply the SUl)ervised decision list lean> ing method to Japanese named entity recognition. We also investigate and in(:ori)orate several named-entity noun phrase chunking tech.niques and experimentally evaluate and con> t)are their l)erfornlanee, ill addition, we t)rot)ose a method for incorporati...

Named entity extraction from Japanese broadcast news

This paper describes a method for named entity extraction from Japanese broadcast news. Our proposed named entity tagger gives entity categories for every character in order to deal with unknown words and entities correctly. This character-based tagger has models designed by maximum entropy modeling. We discuss the efficiency of the proposed tagger by comparison with a conventional word-based t...