Automatic recognition of the function of singular neuter pronouns in texts and spoken data
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Automatic recognition of the function of singular neuter pronouns in texts and spoken data. / Navarretta, Costanza.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, p. 15-28.Research output: Contribution to journal › Conference article › Research › peer-review
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TY - GEN
T1 - Automatic recognition of the function of singular neuter pronouns in texts and spoken data
AU - Navarretta, Costanza
PY - 2009
Y1 - 2009
N2 - We describe the results of unsupervised (clustering) and supervised (classification) learning experiments with the purpose of recognising the function of singular neuter pronouns in Danish corpora of written and spoken language. Danish singular neuter pronouns comprise personal and demonstrative pronouns. They are very frequent and have many functions such as non-referential, cataphoric, deictic and anaphoric. The antecedents of discourse anaphoric singular neuter pronouns can be nominal phrases of different gender and number, verbal phrases, adjectival phrases, clauses or discourse segments of different size and they can refer to individual and abstract entities. Danish neuter pronouns occur in more constructions and have different distributions than the corresponding English pronouns it, this and that. The results of the classification experiments show a significant improvement of the performance with respect to the baseline in all types of data. The best results were obtained on text data, while the worst results were achieved on free-conversational, multi-party dialogues.
AB - We describe the results of unsupervised (clustering) and supervised (classification) learning experiments with the purpose of recognising the function of singular neuter pronouns in Danish corpora of written and spoken language. Danish singular neuter pronouns comprise personal and demonstrative pronouns. They are very frequent and have many functions such as non-referential, cataphoric, deictic and anaphoric. The antecedents of discourse anaphoric singular neuter pronouns can be nominal phrases of different gender and number, verbal phrases, adjectival phrases, clauses or discourse segments of different size and they can refer to individual and abstract entities. Danish neuter pronouns occur in more constructions and have different distributions than the corresponding English pronouns it, this and that. The results of the classification experiments show a significant improvement of the performance with respect to the baseline in all types of data. The best results were obtained on text data, while the worst results were achieved on free-conversational, multi-party dialogues.
KW - Annotation
KW - Individual and Abstract anaphora
KW - Machine learning
KW - Pronominal functions
KW - Singular neuter pronouns
KW - Text and Spoken corpora
UR - http://www.scopus.com/inward/record.url?scp=70549097222&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04975-0_2
DO - 10.1007/978-3-642-04975-0_2
M3 - Conference article
AN - SCOPUS:70549097222
SP - 15
EP - 28
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
T2 - 7th Discourse Anaphora and Anaphor Resolution Colloquium, DAARC 2009
Y2 - 5 November 2009 through 6 November 2009
ER -
ID: 273031295