Extracting Syntactic Trees from Transformer Encoder Self-Attentions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390185" target="_blank" >RIV/00216208:11320/18:10390185 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Extracting Syntactic Trees from Transformer Encoder Self-Attentions

Original language description

Extracting Syntactic Trees from Transformer Encoder Self-Attentions. Extracting Syntactic Trees from Transformer Encoder Self-Attentions.

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

<a href="/en/project/GA18-02196S" target="_blank" >GA18-02196S: Linguistic Structure Representation in Neural Networks</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Article name in the collection

Proceedings of the First Workshop on Analyzing and Interpreting Neural Networks for NLP

ISBN

978-1-948087-71-1

ISSN

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e-ISSN

neuvedeno

Number of pages

3

Pages from-to

347-349

Publisher name

The Assotiation of Computational Linguistics

Place of publication

Stroudsburg, PA, USA

Event location

Bruxelles, Belgium

Event date

Nov 1, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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