Deletions and Node Reconstructions in a Dependency-Based Multilevel Annotation Scheme

Hajič, Jan; Hajičová, Eva; Mikulová, Marie; Mírovský, Jiří; Panevová, Jarmila; Zeman, Daniel

doi:10.1007/978-3-319-18111-0_2

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…Then it judges the category of ellipsis and represent it with corresponding label. At last, if there is an antecedent, it will use the coreference link to associate the new node with its antecedent node (Mikulová, 2014;Hajič et al, 2015).…”

Section: Ellipsis Representation In Ptb and Pdtmentioning

confidence: 99%

Ellipsis in Chinese AMR Corpus

Liu¹,

Li²,

Yan³

et al. 2019

Proceedings of the First International Workshop on Designing Meaning Representations

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Ellipsis is very common in language. It's necessary for natural language processing to restore the elided elements in a sentence. However, there's only a few corpora annotating the ellipsis, which draws back the automatic detection and recovery of the ellipsis. This paper introduces the annotation of ellipsis in Chinese sentences, using a novel graph-based representation Abstract Meaning Representation (AMR), which has a good mechanism to restore the elided elements manually. We annotate 5,000 sentences selected from Chinese TreeBank (CTB). We find that 54.98% of sentences have ellipses. 92% of the ellipses are restored by copying the antecedents' concepts. and 12.9% of them are the new added concepts. In addition, we find that the elided element is a word or phrase in most cases, but sometimes only the head of a phrase or parts of a phrase, which is rather hard for the automatic recovery of ellipsis.

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Section: Ellipsis Representation In Ptb and Pdtmentioning

confidence: 99%

Ellipsis in Chinese AMR Corpus

Liu¹,

Li²,

Yan³

et al. 2019

Proceedings of the First International Workshop on Designing Meaning Representations

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show abstract

“…• Ellipsis in coordination -there are various situations where coordinate constituents allow or require semantic interpretation that involves ellipsis and thus leads to empty nodes (Hajič et al 2015;Droganova and Zeman 2017).…”

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confidence: 99%

Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?

Žabokrtský

Zeman

Ševčíková

2020

Computational Linguistics

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This article gives an overview of how sentence meaning is represented in eleven deep-syntactic frameworks, ranging from those based on linguistic theories elaborated for decades to rather lightweight NLP-motivated approaches. We outline most important characteristics of each framework and then discuss how particular language phenomena are treated across those frameworks, while trying to shed light on commonalities as well as differences.

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A Glimpse Under the Surface: Language Understanding May Need Deep Syntactic Structure

Hajičová

2017

Text, Speech, and Dialogue

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Deletions and Node Reconstructions in a Dependency-Based Multilevel Annotation Scheme

Cited by 4 publications

References 4 publications

Ellipsis in Chinese AMR Corpus

Ellipsis in Chinese AMR Corpus

Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?

A Glimpse Under the Surface: Language Understanding May Need Deep Syntactic Structure

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