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- W74013399 abstract "This abstract summarizes a propsal to use semistructured constraints as a general framework for information extraction. The proposal builds on the intuition that written documents tend to contain a great deal of redundancy: Tell them what you are going to tell them, tell them, tell them what you told them. While current methods overlook or eliminate redundancy, we seek to explicitly represent and exploit both repetition and other natural patterns in semistructured text. We summarize our early research on verification, outline current and future directions, and identify related work. Our initial work assumes knowledge of both document structure and its attendant constraints for the purpose of extraction verification. Specifically, semantic and structural constraints are used to check wrapper accuracy. For example, a structural constraint might ensure that the parties to a contract are introduced at the beginning of the document. A foreign-key constraint checks whether the parties are included on a list of approved signers. That signatories are repeated at the end of a contract is represented by an inverse constraint. A wrapper to extract seven attributes from legal arbitration decisions was applied to 200 cases. Constraint-based verification produced only ten false negatives, the majority of which were due to errors in wrapper delimiters. Further results were reported earlier [Hunter, et al., 2002]. We are currently experimenting with semistructured constraints in hierarchical extraction. Documents with the same semantic and structural constraints are placed in the same class. Class-specific routines fragment the document, extract from each fragment, and recurse on selected components. We propose the use of semistructured constraints as a framework for both fragmentation and extraction. For example, in addition to simple features like HTML-nesting, constraints can dictate whether certain values or structural properties functionally determine other fragments. A dissenting opinion must correspond to a legal decision with more than one judge." @default.
- W74013399 created "2016-06-24" @default.
- W74013399 creator A5085991071 @default.
- W74013399 date "2003-01-01" @default.
- W74013399 modified "2023-09-26" @default.
- W74013399 title "Constraint-driven hierarchical information extraction." @default.
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