Coreference in English OntoNotes: Properties and Genre Differences

Aktaş, Berfin; Scheffler, Tatjana; Stede, Manfred

doi:10.1007/978-3-030-27947-9_15

Cited by 2 publications

(3 citation statements)

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“…Clause-based Distance The first step in measuring the clause-based distance (CBD) between two mentions is determining the clause boundaries in the texts. We use the constituency parse trees to detect the clause boundaries in the same way as done by Aktaş et al (2019). We manually correct the identified clause boundaries for tw corpus due to low accuracy of automatically created parse trees.…”

Section: Token-based Distancementioning

confidence: 99%

“…Our primary goal here is to shed light on coreference with respect to the spoken/written distinction, by undertaking a careful comparative corpus analysis and explicitly stating our methods of measurement. In an earlier study, we presented a quantitative study on different genre sections of the OntoNotes corpus (Aktaş et al, 2019). We extend that study in two directions: We augment the rather small proportion of spoken data in OntoNotes with the Switchboard corpus (Godfrey et al, 1992), and we introduce new quantitative features for the comparative analysis.…”

Section: Introductionmentioning

confidence: 99%

“…In the current paper, we apply corpus-based empirical methods to situate the coreference strategies found in Twitter conversations in the medium/genre spectrum. For this purpose, we finally extend the (Aktaş et al, 2019) study by adding the comparison with Twitter texts, thus achieving a wider range of production media.…”

Section: Introductionmentioning

confidence: 99%

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Variation in Coreference Strategies across Genres and Production Media

Aktaş

Stede

2020

Proceedings of the 28th International Conference on Computational Linguistics

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In response to (i) inconclusive results in the literature as to the properties of coreference chains in written versus spoken language, and (ii) a general lack of work on automatic coreference resolution on both spoken language and social media, we undertake a corpus study involving the various genre sections of Ontonotes, the Switchboard corpus, and a corpus of Twitter conversations. Using a set of measures that previously have been applied individually to different data sets, we find fairly clear patterns of "behavior" for the different genres/media. Besides their role for psycholinguistic investigation (why do we employ different coreference strategies when we write or speak) and for the placement of Twitter in the spoken-written continuum, we see our results as a contribution to approaching genre-/media-specific coreference resolution.

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Section: Token-based Distancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variation in Coreference Strategies across Genres and Production Media

Aktaş

Stede

2020

Proceedings of the 28th International Conference on Computational Linguistics

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Target Concept Analysis

Hamborg

2022

Revealing Media Bias in News Articles

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This chapter details the first component of person-oriented framing analysis: target concept analysis. This component aims to find and resolve mentions of persons, which can be subject to media bias. The chapter introduces and discusses two approaches for this task. First, the chapter introduces an approach for event extraction. The approach extracts answers to the journalistic 5W1H questions, i.e., who did what, when, where, why, and how. The in-text answers to these questions describe a news article’s main event. Afterward, the chapter introduces an approach that is the first to resolve highly context-dependent coreferences across news articles as they commonly occur in the presence of sentence-level bias forms. Our approach can resolve mentions that are coreferential also only in coverage on the same event and that otherwise may even be contradictory, such as “attack” or “self-defense” and “riot” or “protest.” Lastly, the chapter argues for using the latter approach for the target concept analysis component, in particular because of its high classification performance. Another reason for our decision is that using the event extraction approach in the target concept analysis component would require the development of a subsequent approach, i.e., to compare the events extracted from individual articles and resolve them across all articles.

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Coreference in English OntoNotes: Properties and Genre Differences

Cited by 2 publications

References 10 publications

Variation in Coreference Strategies across Genres and Production Media

Variation in Coreference Strategies across Genres and Production Media

Target Concept Analysis

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