Argumentation-based indexing for information retrieval from learned articles
Journal of Documentation
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
An annotation scheme for discourse-level argumentation in research articles
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
ClaimSpotter: an environment to support sensemaking with knowledge triples
Proceedings of the 10th international conference on Intelligent user interfaces
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
What's yours and what's mine: determining intellectual attribution in scientific text
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Table extraction using conditional random fields
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
International Journal of Intelligent Systems - Computational Models of Natural Argumentation
A pragmatic structure for research articles
ICPW '07 Proceedings of the 2nd international conference on Pragmatic web
TCP over Multi-Hop Wireless Networks: The Impact of MAC Level Interactions
ADHOC-NOW '09 Proceedings of the 8th International Conference on Ad-Hoc, Mobile and Wireless Networks
Assessing the impact of stemming accuracy on information retrieval
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
Proceedings of the 7th International Conference on Semantic Systems
AWC '13 Proceedings of the First Australasian Web Conference - Volume 144
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Research articles are an important form of scientific communication. However, currently there are hardly any systems which exploit the content of research articles for information retrieval. The paper describes our work carried out in developing ontology-based information retrieval system using information extracted about sentences in research articles. We present results of a supervised learning mechanism using conditional random fields for context identification and sentence classification of sentences in the related work section of research articles. The labelling of sentences is carried out based on a classification framework, which we propose for classifying sentences in these sections. We proceed to develop a sentence context ontology for modelling the classified data obtained through CRFs. We also show how the ontology is further used for creating RDF data. Finally, we describe the user interface developed using SEWESE tags and SPARQL for querying the developed RDF data.