Citation Block Determination Using Textual Coherence

Kaplan, Dain; Tokunaga, Takenobu; Teufel, Simone

doi:10.2197/ipsjjip.24.540

Cited by 9 publications

(10 citation statements)

References 51 publications

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“…Kaplan et al [KTT16] proposed the task of determining the citation block based on a set of textual coherence features (e.g. grammatical or lexical coherence).…”

Section: Citation Spanmentioning

confidence: 99%

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Approaches for Enriching and Improving Textual Knowledge Bases

Fetahu

2018

SIGIR Forum

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Verifiability is one of the core editing principles in Wikipedia, where editors are encouraged to provide citations for the added statements. Statements can be any arbitrary piece of text, ranging from a sentence up to a paragraph. However, in many cases, citations are either outdated, missing, or link to non-existing references (e.g. dead URL, moved content etc.). In total, 20% of the cases such citations refer to news articles and represent the second most cited source. Even in cases where citations are provided, there are no explicit indicators for the span of a citation for a given piece of text. In addition to issues related with the verifiability principle, many Wikipedia entity pages are incomplete, with relevant information that is already available in online news sources missing. Even for the already existing citations, there is often a delay between the news publication time and the reference time.In this thesis, we address the aforementioned issues and propose automated approaches that enforce the verifiability principle in Wikipedia, and suggest relevant and missing news references for further enriching Wikipedia entity pages. To this end we make the following contributions as part of this thesis:• Citation recommendation -we address the problem of finding and updating news citations for statements in Wikipedia entity pages. We propose a two-stage approach for this problem. First, we classify each statement whether it requires a news citation or citations from other categories (e.g. web, book, journal, etc.). Second, for statements that require a news citation, we formalize three properties of what makes a good citation, namely: (i) the citation should entail the Wikipedia statement, (ii) the statement should be central to the citation, and (iii) the citation should be from an authoritative source. We combine standard information retrieval techniques, where we use the statement to query a news collection, and build classification models based on the three properties to determine the most appropriate citation.• Citation span -from the already existing citations in Wikipedia entity pages and the ones we recommend in our first problem, we propose an automated approach which determines the span of such citations. We approach this problem by classifying which textual fragments in a paragraph are covered or hold true given a citation. We propose a sequence classification approach where for a paragraph and a citation, we determine the citation span at a fine-grained level.• News suggestion -to account for the ever evolving nature of Wikipedia entities, with relevant information published on a daily basis in news articles, we propose a two-stage supervised approach for this problem. First, we suggest news articles to Wikipedia entities (article-entity placement) relying on a rich set of features which take into account the salience and relative authority of entities, and the novelty of news articles to entity pages. Second, we determine the exact section in the entity page for the input article (article-secti...

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“…Kaplan et al [KTT16] proposed the task of determining the citation block based on a set of textual coherence features (e.g. grammatical or lexical coherence).…”

Section: Citation Spanmentioning

confidence: 99%

“…Earlier work on span determination is mostly concerned with scientific texts [O'C82, KTT16], operates at sentence level and exploits explicit authoring cues specific to scientific text. Although Wikipedia has well formed text, it does not follow explicit scientific guidelines for placing citations.…”

Section: Fine Grained Citation Span For References In Wikipediamentioning

confidence: 99%

Approaches for Enriching and Improving Textual Knowledge Bases

Fetahu

2018

SIGIR Forum

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“…More recent research such as [34] looks at the fragment level with a system that extracts fragments from the cited document which are related to the citing fragment. The authors in [16] are detecting the boundaries of citations in the full text of research papers, to improve paper summarisation. In this research, the aim is to help scientists to search documents with citation as a criteria.…”

Section: Relational Elementsmentioning

confidence: 99%

Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents

Ribaupierre

Falquet

2017

Int J Digit Libr

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When scientists are searching for information, they generally have a precise objective in mind. Instead of looking for documents "about a topic T", they try to answer specific questions such as finding the definition of a concept, finding results for a particular problem, checking whether an idea has already been tested, or comparing the scientific conclusions of two articles. Answering these precise or complex queries on a corpus of scientific documents requires precise modelling of the full content of the documents. In particular, each document element must be characterised by its discourse type (hypothesis, definition, result, method, etc.). In this paper, we present a scientific document model (SciAnnotDoc ontology), developed from an empirical study conducted with scientists, that models the discourse types. We developed an automated process that analyses documents effectively identifying the discourse types of each element. Using syntactic rules (patterns), we evaluated the process output in terms of precision and recall using a previously annotated corpus in Gender Studies. We chose to annotate documents in Humanities, as these documents are well known to be less formalised than those in "hard science". The process output has been used to create a SciAnnotDoc representation of the corpus on top of which we built a faceted search interface. Experiments with users show that searches using with this interface clearly outperform standard keyword searches for precise or complex queries. B Hélène de Ribaupierre

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“…We consider the approach in (O'Connor, 1982) as a baseline. Kaplan et al (2016) proposed the task of determining the citation block based on a set of textual coherence features (e.g. grammatical or lexical coherence).…”

Section: Related Workmentioning

confidence: 99%

“…Earlier work on span determination is mostly concerned with scientific texts (O'Connor, 1982;Kaplan et al, 2016), operates at sentence level and exploits explicit authoring cues specific to scientific text. Although Wikipedia has well formed text, it does not follow explicit scientific guidelines for placing citations.…”

Section: Introductionmentioning

confidence: 99%

Fine Grained Citation Span for References in Wikipedia

Fetahu

Markert

Anand

2017

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

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Verifiability is one of the core editing principles in Wikipedia, editors being encouraged to provide citations for the added content. For a Wikipedia article, determining the citation span of a citation, i.e. what content is covered by a citation, is important as it helps decide for which content citations are still missing.We are the first to address the problem of determining the citation span in Wikipedia articles. We approach this problem by classifying which textual fragments in an article are covered by a citation. We propose a sequence classification approach where for a paragraph and a citation, we determine the citation span at a finegrained level.We provide a thorough experimental evaluation and compare our approach against baselines adopted from the scientific domain, where we show improvement for all evaluation metrics.

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Citation Block Determination Using Textual Coherence

Cited by 9 publications

References 51 publications

Approaches for Enriching and Improving Textual Knowledge Bases

Approaches for Enriching and Improving Textual Knowledge Bases

Extracting discourse elements and annotating scientific documents using the SciAnnotDoc model: a use case in gender documents

Fine Grained Citation Span for References in Wikipedia

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