title: Anaphoric annotation and corpus-based anaphora resolution: An experiment
metadata.name: dc.contributor.author
metadata.value: Protopopova, E. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bodrova, A. A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Volskaya, S. A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Krylova, I. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Chuchunkov, A. S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Alexeeva, S. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bocharov, V. V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Granovsky, D. V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-10-18T12:13:14Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-10-18T12:13:14Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2014
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/8558
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper describes the noun phase and anaphora annotation in OpenCorpora and compares it to that in other corpora. We discuss the choice of representa- tive texts for anaphoric annotation and the basic principles of syntactic anno- tation. In case of noun phrase annotation we followed the scheme introduced earlier for morphological annotation: it was carried out in two stages:  rstly, all noun phrases and some other syntactic units were annotated by a heterog- enous group of people, then a linguist compared all markup results and found the best one, or corrected mistakes. We present some annotation results and cases of annotator’s disagreement and proceed to introduce our data-driven anaphora resolution system based on decision trees. We then list the features used to  t the classi cator and discuss their relevance and some changes which improved the classi cator performance. We also present out rule-based approach to automated noun phrase extraction using Tomita parser. A baseline for anaphora resolution is introduced and we compare it with our results.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Компьютерная лингвистика и интеллектуальные технологии;562-571
metadata.lang: -
metadata.name: dc.subject
metadata.value: anaphora resolution
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Anaphoric annotation and corpus-based anaphora resolution: An experiment
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 2014_Dialog_AlexeevaSV_als_OpenCorpora_Anaphora.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/8558/1/2014_Dialog_AlexeevaSV_als_OpenCorpora_Anaphora.pdf
resources.format: Adobe PDF
resources.size: 473,88 kB