Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372153" target="_blank" >RIV/00216208:11320/17:10372153 - isvavai.cz</a>

Result on the web

<a href="http://www.aclweb.org/anthology/W/W17/W17-5021.pdf" target="_blank" >http://www.aclweb.org/anthology/W/W17/W17-5021.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques

Original language description

We summarize the involvement of our CEMI team in the Native Language Identification shared task, NLI Shared Task~2017, which deals with both textual and speech input data. We submitted the results achieved by using three different system architectures; each of them combines multiple supervised learning models trained on various feature sets. As expected, better results are achieved with the systems that use both the textual data and the spoken responses. Combining the input data of two different modalities led to a rather dramatic improvement in classification performance. Our best performing method is based on a set of feed-forward neural networks whose hidden-layer outputs are combined together using a softmax layer. We achieved a macro-averaged F1 score of 0.9257 on the evaluation (unseen) test set and our team placed first in the main task together with other three teams.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

The 12th Workshop on Innovative Use of NLP for Building Educational Applications

ISBN

978-1-945626-00-5

ISSN

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e-ISSN

neuvedeno

Number of pages

12

Pages from-to

198-209

Publisher name

The Association for Computational Linguistics

Place of publication

Stroudsburg, PA, USA

Event location

København, Denmark

Event date

Sep 8, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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