@inProceedings{
 title = {Towards Automatic Extraction of Definitions},
 type = {inProceedings},
 year = {2007},
 pages = {52-65},
 websites = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.122.1179&rep=rep1&type=pdf},
 id = {16d67dce-23f1-382b-a170-352435ce2ebc},
 created = {2012-05-10T14:51:03.000Z},
 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},
 tags = {definition extraction},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Borg2007},
 private_publication = {false},
 abstract = {De nition extraction can be useful for the creation of glossaries and in question answering systems. It is a tedious task to extract such sentences manually, and thus an automatic system is desirable. In this work we review various attempts at rule-based approaches reported in the literature and discuss their results. We also propose a novel experiment involving the use of genetic programming and genetic algorithms, aimed at assisting the discovery of grammar rules which can be used for the task of de nition extraction.},
 bibtype = {inProceedings},
 author = {Borg, Claudia and Rosner, Mike and Pace, Gordon},
 booktitle = {Language}
}

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