Coreference Applications to Summarization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929359" target="_blank" >RIV/49777513:23520/16:43929359 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-662-47909-4" target="_blank" >http://dx.doi.org/10.1007/978-3-662-47909-4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-662-47909-4" target="_blank" >10.1007/978-3-662-47909-4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Coreference Applications to Summarization

Popis výsledku v původním jazyce

In this chapter we discuss the connection between anaphora/coreference resolution and summarization. The discussion follows the summarization framework based on Latent Semantic Analysis (LSA), however, the ideas can be applied to any sentence-scoring approach. After describing the ways of combining basic (lexical) features of the summarizer with those received from the coreference resolution system we try to answer the question if coreference resolution helps to improve the quality of selected content even if coreference resolution systems are still far from perfect. Both single-document and multi-document summarization branches are discussed. Then we focus on post-processing techniques to improve the referential clarity and coherence of extracted summaries.

Název v anglickém jazyce

Coreference Applications to Summarization

Popis výsledku anglicky

In this chapter we discuss the connection between anaphora/coreference resolution and summarization. The discussion follows the summarization framework based on Latent Semantic Analysis (LSA), however, the ideas can be applied to any sentence-scoring approach. After describing the ways of combining basic (lexical) features of the summarizer with those received from the coreference resolution system we try to answer the question if coreference resolution helps to improve the quality of selected content even if coreference resolution systems are still far from perfect. Both single-document and multi-document summarization branches are discussed. Then we focus on post-processing techniques to improve the referential clarity and coherence of extracted summaries.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - Nové technologie pro informační společnost</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Anaphora Resolution, Algorithms, Resources, and Applications

ISBN

978-3-662-47908-7

Počet stran výsledku

24

Strana od-do

433-456

Počet stran knihy

508

Název nakladatele

Springer

Místo vydání

Berlin, Heidelberg

Kód UT WoS kapitoly

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