Tabular abstraction, editing, and formatting
Tabular abstraction, editing, and formatting
Towards a workbench for acquisition of domain knowledge from natural language
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
Mining tables from large scale HTML texts
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Stylistic and lexical co-training for web block classification
Proceedings of the 6th annual ACM international workshop on Web information and data management
Learning to recognize tables in free text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Learning table extraction from examples
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Browsing large HTML tables on small screens
Proceedings of the 21st annual ACM symposium on User interface software and technology
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We describe a prototype system for assigning table cells to their proper place in the table's logical (relational) structure, based on a simple model of table structure combined with a number of measures of cohesion between cell contents. Preliminary results suggest that very simple string-based cohesion measures are not sufficient for the extraction of relational information, and that future work should pursue the aim of more knowledge/data-intensive approximations to a notional sub-type/supertype definition of the relationships between value and label cells.