Automatic annotation of bibliographical references for descriptive language 
materials

Hammarström, Harald

doi:10.1007/978-3-642-23708-9_8

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Automatic annotation of bibliographical references for descriptive language materials

MPS-Authors

/persons/resource/persons72724

Hammarström, Harald
Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Hammarstroem_10.1007_978-3-642-23708-9_8.pdf
(Publisher version), 156KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Hammarström, H. (2011). Automatic annotation of bibliographical references for descriptive language materials. In P. Forner, J. Kekäläinen, M. Lalmas, & M. De Rijke (Eds.), Multilingual and multimodal information access evaluation. Second International Conference of the Cross-Language Evaluation Forum, CLEF 2011, Amsterdam, The Netherlands, September 19-22, 2011; Proceedings (pp. 62-73). Berlin: Springer.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-78D8-8

Abstract

The present paper considers the problem of annotating bibliographical references with labels/classes, given training data of references already annotated with labels. The problem is an instance of document categorization where the documents are short and written in a wide variety of languages. The skewed distributions of title words and labels calls for special carefulness when choosing a Machine Learning approach. The present paper describes how to induce Disjunctive Normal Form formulae (DNFs), which have several advantages over Decision Trees. The approach is evaluated on a large real-world collection of bibliographical references.