The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440928" target="_blank" >RIV/00216208:11320/21:10440928 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies

Popis výsledku v původním jazyce

The Reading Machine, is a parsing framework that takes as input raw text and performs six standard NLP tasks: tokenization, POS tagging, morphological analysis, lemmatization, dependency parsing and sentence segmentation. It is built upon Transition Based Parsing, and allows implementing a large number of parsing configurations, among which a fully incremental one. Three case studies are presented to highlight the versatility of the framework. The first one explores whether an incremental parser is able to take into account top-down dependencies (i.e. the influence of high level decisions on low level ones), the second compares the performances of an incremental and a pipe-line architecture and the third quantifies the impact of the right context on the predictions made by an incremental parser.

Název v anglickém jazyce

The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies

Popis výsledku anglicky

The Reading Machine, is a parsing framework that takes as input raw text and performs six standard NLP tasks: tokenization, POS tagging, morphological analysis, lemmatization, dependency parsing and sentence segmentation. It is built upon Transition Based Parsing, and allows implementing a large number of parsing configurations, among which a fully incremental one. Three case studies are presented to highlight the versatility of the framework. The first one explores whether an incremental parser is able to take into account top-down dependencies (i.e. the influence of high level decisions on low level ones), the second compares the performances of an incremental and a pipe-line architecture and the third quantifies the impact of the right context on the predictions made by an incremental parser.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

IWPT 2021: THE 17TH INTERNATIONAL CONFERENCE ON PARSING TECHNOLOGIES: PROCEEDINGS OF THE CONFERENCE (INCLUDING THE IWPT 2021 SHARED TASK)

ISBN

978-1-954085-80-0

ISSN

—

e-ISSN

—

Počet stran výsledku

12

Strana od-do

26-37

Název nakladatele

ASSOC COMPUTATIONAL LINGUISTICS-ACL

Místo vydání

STROUDSBURG

Místo konání akce

online

Datum konání akce

6. 8. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000694723000003