Using Human Language Technology for Automatic Annotation and Indexing of Digital Library Content

Authors:
Kalina Bontcheva;Diana Maynard;Hamish Cunningham;Horacio Saggion
Affiliations:
-;-;-;-
Venue:
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Year:
2002

Citing 7
Cited 4

Information extraction

Communications of the ACM
Drudgery and deep thought

Communications of the ACM
Information Extraction: Techniques and Challenges

SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
FACILE: Classifying Texts Integrating Pattern Matching and Information Extraction

IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Architectural elements of language engineering robustness

Natural Language Engineering
SRI International FASTUS system: MUC-6 test results and analysis

MUC6 '95 Proceedings of the 6th conference on Message understanding
Introduction to information extraction

AI Communications

Towards a cultural heritage digital library

Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Evolving GATE to meet new challenges in language engineering

Natural Language Engineering
The challenge of virginia banks: an evaluation of named entity analysis in a 19th-century newspaper collection

Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
A framework for text processing and supporting access to collections of digitized historical newspapers

Proceedings of the 2007 conference on Human interface: Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we show how we used robust human language technology, such as our domain-independent and customisable named entity recogniser, for automatic content annotation and indexing in two digital library applications. Each of these applications posed a unique challenge: one required adapting the language processing components to the non-standard written conventions of 18th century English, while the other presented the challenge of processing material in multiple modalities. This reusable technology could also form the basis for the creation of computational tools for the study of cultural heritage languages, such as Ancient Greek and Latin.