@inproceedings{do-rehbein-2017-evaluating,
title = "Evaluating {LSTM} models for grammatical function labelling",
author = "Do, Bich-Ngoc and
Rehbein, Ines",
editor = "Miyao, Yusuke and
Sagae, Kenji",
booktitle = "Proceedings of the 15th International Conference on Parsing Technologies",
month = sep,
year = "2017",
address = "Pisa, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-6318",
pages = "128--133",
abstract = "To improve grammatical function labelling for German, we augment the labelling component of a neural dependency parser with a decision history. We present different ways to encode the history, using different LSTM architectures, and show that our models yield significant improvements, resulting in a LAS for German that is close to the best result from the SPMRL 2014 shared task (without the reranker).",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="do-rehbein-2017-evaluating">
<titleInfo>
<title>Evaluating LSTM models for grammatical function labelling</title>
</titleInfo>
<name type="personal">
<namePart type="given">Bich-Ngoc</namePart>
<namePart type="family">Do</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ines</namePart>
<namePart type="family">Rehbein</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2017-09</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 15th International Conference on Parsing Technologies</title>
</titleInfo>
<name type="personal">
<namePart type="given">Yusuke</namePart>
<namePart type="family">Miyao</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kenji</namePart>
<namePart type="family">Sagae</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Pisa, Italy</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>To improve grammatical function labelling for German, we augment the labelling component of a neural dependency parser with a decision history. We present different ways to encode the history, using different LSTM architectures, and show that our models yield significant improvements, resulting in a LAS for German that is close to the best result from the SPMRL 2014 shared task (without the reranker).</abstract>
<identifier type="citekey">do-rehbein-2017-evaluating</identifier>
<location>
<url>https://aclanthology.org/W17-6318</url>
</location>
<part>
<date>2017-09</date>
<extent unit="page">
<start>128</start>
<end>133</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Evaluating LSTM models for grammatical function labelling
%A Do, Bich-Ngoc
%A Rehbein, Ines
%Y Miyao, Yusuke
%Y Sagae, Kenji
%S Proceedings of the 15th International Conference on Parsing Technologies
%D 2017
%8 September
%I Association for Computational Linguistics
%C Pisa, Italy
%F do-rehbein-2017-evaluating
%X To improve grammatical function labelling for German, we augment the labelling component of a neural dependency parser with a decision history. We present different ways to encode the history, using different LSTM architectures, and show that our models yield significant improvements, resulting in a LAS for German that is close to the best result from the SPMRL 2014 shared task (without the reranker).
%U https://aclanthology.org/W17-6318
%P 128-133
Markdown (Informal)
[Evaluating LSTM models for grammatical function labelling](https://aclanthology.org/W17-6318) (Do & Rehbein, IWPT 2017)
ACL