Squib A Novel Alignment-based Approach for PARSEVAL Measures

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A4PXQGLBY" target="_blank" >RIV/00216208:11320/25:4PXQGLBY - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206613279&doi=10.1162%2fcoli_a_00512&partnerID=40&md5=abc09a1435800cf5ee3acce110723316" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206613279&doi=10.1162%2fcoli_a_00512&partnerID=40&md5=abc09a1435800cf5ee3acce110723316</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1162/coli_a_00512" target="_blank" >10.1162/coli_a_00512</a>

Result language

angličtina

Original language name

Squib A Novel Alignment-based Approach for PARSEVAL Measures

Original language description

We propose a novel method for calculating PARSEVAL measures to evaluate constituent parsing results. Previous constituent parsing evaluation techniques were constrained by the requirement for consistent sentence boundaries and tokenization results, proving to be stringent and inconvenient. Our new approach handles constituent parsing results obtained from raw text, even when sentence boundaries and tokenization differ from the preprocessed gold sentence. Implementing this measure is our evaluation by alignment approach. The algorithm enables the alignment of tokens and sentences in the gold and system parse trees. Our proposed algorithm draws on the analogy of sentence and word alignment commonly used in machine translation (MT). To demonstrate the intricacy of calculations and clarify any integration of configurations, we explain the implementations in detailed pseudo-code and provide empirical proof for how sentence and word alignment can improve evaluation reliability. © 2024 Association for Computational Linguistics.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

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

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Continuities

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Publication year

2024

Confidentiality

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

Name of the periodical

Computational Linguistics

ISSN

0891-2017

e-ISSN

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Volume of the periodical

50

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

10

Pages from-to

1181-1190

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85206613279