What I think when I think about treebanks

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

What I think when I think about treebanks. / Søgaard, Anders.

Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, 2018. p. 161-166.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Søgaard, A 2018, What I think when I think about treebanks. in Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, pp. 161-166, 16th International Workshop on Treebanks and Linguistic Theories (TLT16), Prague, Czech Republic, 23/01/2018. <http://www.aclweb.org/anthology/W17-7620>

APA

Søgaard, A. (2018). What I think when I think about treebanks. In Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16), (pp. 161-166). Association for Computational Linguistics. http://www.aclweb.org/anthology/W17-7620

Vancouver

Søgaard A. What I think when I think about treebanks. In Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics. 2018. p. 161-166

Author

Søgaard, Anders. / What I think when I think about treebanks. Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),. Association for Computational Linguistics, 2018. pp. 161-166

Bibtex

@inproceedings{f9a2988225994f04b55fc27e63b10ddc,
title = "What I think when I think about treebanks",
abstract = "In this opinion piece, I present four somewhat controversial suggestions for the design of futuretreebanks: a) Treebanks should be based on adversarial samples, rather than pseudorepresentativesamples. b) Treebanks should include multiple splits of the data, rather than justa single split, as in most treebanks today. c) They should include multiple annotations of eachsentence, whenever possible, instead of adjudicated annotations. d) There is no real motivationfor adhering to a notion of well-formedness, since we now have parsers based on deep learningthat generalize easily and perform well on any type of graphs, and treebanks therefore do not haveto limit themselves to trees or directed acyclic graphs.",
author = "Anders S{\o}gaard",
year = "2018",
language = "English",
pages = "161--166",
booktitle = "Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),",
publisher = "Association for Computational Linguistics",
note = "null ; Conference date: 23-01-2018 Through 24-01-2018",

}

RIS

TY - GEN

T1 - What I think when I think about treebanks

AU - Søgaard, Anders

PY - 2018

Y1 - 2018

N2 - In this opinion piece, I present four somewhat controversial suggestions for the design of futuretreebanks: a) Treebanks should be based on adversarial samples, rather than pseudorepresentativesamples. b) Treebanks should include multiple splits of the data, rather than justa single split, as in most treebanks today. c) They should include multiple annotations of eachsentence, whenever possible, instead of adjudicated annotations. d) There is no real motivationfor adhering to a notion of well-formedness, since we now have parsers based on deep learningthat generalize easily and perform well on any type of graphs, and treebanks therefore do not haveto limit themselves to trees or directed acyclic graphs.

AB - In this opinion piece, I present four somewhat controversial suggestions for the design of futuretreebanks: a) Treebanks should be based on adversarial samples, rather than pseudorepresentativesamples. b) Treebanks should include multiple splits of the data, rather than justa single split, as in most treebanks today. c) They should include multiple annotations of eachsentence, whenever possible, instead of adjudicated annotations. d) There is no real motivationfor adhering to a notion of well-formedness, since we now have parsers based on deep learningthat generalize easily and perform well on any type of graphs, and treebanks therefore do not haveto limit themselves to trees or directed acyclic graphs.

M3 - Article in proceedings

SP - 161

EP - 166

BT - Proceedings of the 16th International Workshop on Treebanks and Linguistic Theories (TLT16),

PB - Association for Computational Linguistics

Y2 - 23 January 2018 through 24 January 2018

ER -

ID: 214752172