Domain Adaptation with Filtering for Named Entity Extraction of Japanese Anime-Related Words.

We developed a system to extract Japanese anime-related words, i.e., Japanese NEs (named entities) in the anime-related domain. Since the NEs in the area, such as the titles of anime or the names of characters, were domain-specific, we started by building a tagged corpus and then used it for the experiments. We examined to see if the existing corpora were useful to improve the results. The experiments conducted using Conditional Random Fields showed that the effect of domain adaptation varied according to the genres of the corpora, but the filtering of the source data not only reduced the time for training but also assisted in the domain adaptation work.