%0 Conference Paper %1 DBLP:conf/ic3k/SchonebergM12 %A Schöneberg, Hendrik %A Müller, Frank %B KDIR %D 2012 %E Fred, Ana L. N. %E Filipe, Joaquim %E Fred, Ana L. N. %E Filipe, Joaquim %I SciTePress %K info2 myown %P 163-168 %T Contextual Approaches for Identification of Toponyms in Ancient Documents %X Performing Named Entity Recognition on ancient documents is a time-consuming, complex and error-prone manual task. It is a prerequisite though to being able to identify related documents and correlate between named entities in distinct sources, helping to precisely recreate historic events. In order to reduce the manual effort, automated classification approaches could be leveraged. Classifying terms in ancient documents in an automated manner poses a difficult task due to the sources' challenging syntax and poor conservation states. This paper introduces and evaluates two approaches that can cope with complex syntactial environments by using statistical information derived from a term's context and combining it with domain-specific heuristic knowledge to perform a classification. Furthermore, these approaches can easily be adapted to new domains. %@ 978-989-8565-29-7

@inproceedings{DBLP:conf/ic3k/SchonebergM12, abstract = {Performing \emph{Named Entity Recognition} on ancient documents is a time-consuming, complex and error-prone manual task. It is a prerequisite though to being able to identify related documents and correlate between named entities in distinct sources, helping to precisely recreate historic events. In order to reduce the manual effort, automated classification approaches could be leveraged. Classifying terms in ancient documents in an automated manner poses a difficult task due to the sources' challenging syntax and poor conservation states. This paper introduces and evaluates two approaches that can cope with complex syntactial environments by using statistical information derived from a term's context and combining it with domain-specific heuristic knowledge to perform a classification. Furthermore, these approaches can easily be adapted to new domains.}, added-at = {2013-03-31T17:03:05.000+0200}, author = {Sch{\"o}neberg, Hendrik and M{\"u}ller, Frank}, bibsource = {DBLP, http://dblp.uni-trier.de}, biburl = {https://www.bibsonomy.org/bibtex/240e0b86fabbc2002adc172afebdc63d8/hensb}, booktitle = {KDIR}, crossref = {DBLP:conf/ic3k/2012kdir}, editor = {Fred, Ana L. N. and Filipe, Joaquim and Fred, Ana L. N. and Filipe, Joaquim}, interhash = {dda9307bbf413d19482e2d9400de1874}, intrahash = {40e0b86fabbc2002adc172afebdc63d8}, isbn = {978-989-8565-29-7}, keywords = {info2 myown}, pages = {163-168}, publisher = {SciTePress}, timestamp = {2013-04-11T13:52:44.000+0200}, title = {Contextual Approaches for Identification of Toponyms in Ancient Documents}, year = 2012 }