Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Anaphoric annotation and corpus-based anaphora resolution : An experiment. / Protopopova, E. V.; Bodrova, A. A.; Volskaya, S. A.; Krylova, I. V.; Chuchunkov, A. S.; Alexeeva, S. V.; Bocharov, V. V.; Granovsky, D. V.
По материалам ежегодной Международной конференции "Диалог" 2014. Российский государственный гуманитарный университет, 2014. p. 562-571 (Komp'juternaja Lingvistika i Intellektual'nye Tehnologii; Vol. 13).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Anaphoric annotation and corpus-based anaphora resolution
T2 - An experiment
AU - Protopopova, E. V.
AU - Bodrova, A. A.
AU - Volskaya, S. A.
AU - Krylova, I. V.
AU - Chuchunkov, A. S.
AU - Alexeeva, S. V.
AU - Bocharov, V. V.
AU - Granovsky, D. V.
N1 - Copyright: Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - The paper describes the noun phase and anaphora annotation in OpenCorpora and compares it to that in other corpora. We discuss the choice of representative texts for anaphoric annotation and the basic principles of syntactic annotation. In case of noun phrase annotation we followed the scheme introduced earlier for morphological annotation: it was carried out in two stages: firstly, all noun phrases and some other syntactic units were annotated by a heterogenous 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 fit the classificator and discuss their relevance and some changes which improved the classificator 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.
AB - The paper describes the noun phase and anaphora annotation in OpenCorpora and compares it to that in other corpora. We discuss the choice of representative texts for anaphoric annotation and the basic principles of syntactic annotation. In case of noun phrase annotation we followed the scheme introduced earlier for morphological annotation: it was carried out in two stages: firstly, all noun phrases and some other syntactic units were annotated by a heterogenous 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 fit the classificator and discuss their relevance and some changes which improved the classificator 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.
KW - Anaphora resolution
KW - Corpora
KW - Crowdsourcing
KW - Syntactic annotation
UR - http://www.scopus.com/inward/record.url?scp=84904797641&partnerID=8YFLogxK
M3 - Conference contribution
SN - 2221-7932
T3 - Komp'juternaja Lingvistika i Intellektual'nye Tehnologii
SP - 562
EP - 571
BT - По материалам ежегодной Международной конференции "Диалог" 2014
PB - Российский государственный гуманитарный университет
ER -
ID: 4682461