@inProceedings{
 title = {Extracting semantic annotations from legal texts},
 type = {inProceedings},
 year = {2009},
 identifiers = {[object Object]},
 keywords = {automatic information ex,legal hypertext,semantic tagging},
 pages = {167},
 websites = {http://portal.acm.org/citation.cfm?doid=1557914.1557944},
 publisher = {ACM Press},
 city = {New York, New York, USA},
 id = {33291f76-7812-3492-a167-644aa9e38579},
 created = {2012-02-28T00:51:15.000Z},
 accessed = {2012-04-04},
 file_attached = {false},
 profile_id = {5284e6aa-156c-3ce5-bc0e-b80cf09f3ef6},
 group_id = {066b42c8-f712-3fc3-abb2-225c158d2704},
 last_modified = {2017-03-14T14:36:19.698Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Lesmo2009},
 private_publication = {false},
 abstract = {This paper illustrates a system designed to automatically extract semantic annotations of the normative modifications present in legal texts. The work relies on a deep parsing approach. The problem of semantically annotating legal texts is cast to the problem of mapping parse trees to semantic frames representing such modifications. We report a preliminary experimentation along with the dataset employed, and discuss the results to point out future improvements.},
 bibtype = {inProceedings},
 author = {Lesmo, Leonardo and Mazzei, Alessandro and Radicioni, Daniele P},
 booktitle = {Proceedings of the 20th ACM conference on Hypertext and hypermedia - HT '09}
}

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