An evaluation of phrasal and clustered representations on a text categorization task
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Extracting Biochemical Interactions from MEDLINE Using a Link Grammar Parser
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Structural ambiguity and lexical relations
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
The Talent system: TEXTRACT architecture and data model
Natural Language Engineering
Natural Language Engineering
Evolving GATE to meet new challenges in language engineering
Natural Language Engineering
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
A comparison of parsing technologies for the biomedical domain
Natural Language Engineering
Analysis of link grammar on biomedical dependency corpus targeted at protein-protein interactions
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Event-based information extraction for the biomedical domain: the Caderige project
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
How Can the Term Compositionality Be Useful for Acquiring Elementary Semantic Relations?
GoTAL '08 Proceedings of the 6th international conference on Advances in Natural Language Processing
Acquisition of elementary synonym relations from biological structured terminology
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
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Web semantic access in specific domains calls for specialized search engines with enhanced semantic querying and indexing capacities, which pertain both to information retrieval (IR) and to information extraction (IE). A rich linguistic analysis is required either to identify the relevant semantic units to index and weight them according to linguistic specific statistical distribution, or as the basis of an information extraction process. Recent developments make Natural Language Processing (NLP) techniques reliable enough to process large collections of documents and to enrich them with semantic annotations. This paper focuses on the design and the development of a text processing platform, Ogmios, which has been developed in the ALVIS project. The Ogmios platform exploits existing NLP modules and resources, which may be tuned to specific domains and produces linguistically annotated documents. We show how the three constraints of genericity, domain semantic awareness and performance can be handled all together.