Hiroki Hanaoka


Integrating Multiple Dependency Corpora for Inducing Wide-coverage Japanese CCG Resources
Sumire Uematsu | Takuya Matsuzaki | Hiroki Hanaoka | Yusuke Miyao | Hideki Mima
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


A Collaborative Annotation between Human Annotators and a Statistical Parser
Shun’ya Iwasawa | Hiroki Hanaoka | Takuya Matsuzaki | Yusuke Miyao | Jun’ichi Tsujii
Proceedings of the 5th Linguistic Annotation Workshop


A Japanese Particle Corpus Built by Example-Based Annotation
Hiroki Hanaoka | Hideki Mima | Jun’ichi Tsujii
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

This paper is a report on an on-going project of creating a new corpus focusing on Japanese particles. The corpus will provide deeper syntactic/semantic information than the existing resources. The initial target particle is ``to'' which occurs 22,006 times in 38,400 sentences of the existing corpus: the Kyoto Text Corpus. In this annotation task, an ``example-based'' methodology is adopted for the corpus annotation, which is different from the traditional annotation style. This approach provides the annotators with an example sentence rather than a linguistic category label. By avoiding linguistic technical terms, it is expected that any native speakers, with no special knowledge on linguistic analysis, can be an annotator without long training, and hence it can reduce the annotation cost. So far, 10,475 occurrences have been already annotated, with an inter-annotator agreement of 0.66 calculated by Cohen's kappa. The initial disagreement analyses and future directions are discussed in the paper.