A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation

Piao, Scott; Dallachy, Fraser; Baron, Alistair; Demmen, Jane; Wattam, Steve; Durkin, Philip; McCracken, James; Rayson, Paul; Alexander, Marc

doi:10.1016/j.csl.2017.04.010

Cited by 17 publications

(16 citation statements)

References 11 publications

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“…Berlanga et al [ 14 ] used a statistical framework to annotate, index, and search life science documents; however, this was created for use on a corpus of documents and, rather than using a human component, was evaluated against other services to see how their annotations compared. Similarly, Piao et al [ 25 ] created a historical thesaurus semantic tagger that assigned user-generated thematic categories to a document corpus, which was evaluated by comparing manually annotated documents to semantically annotated documents.…”

Section: Literature and Technical Investiationsmentioning

confidence: 99%

Too many tags spoil the metadata: investigating the knowledge management of scientific research with semantic web technologies

2019

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Scientific research is increasingly characterised by the volume of documents and data that it produces, from experimental plans and raw data to reports and papers. Researchers frequently struggle to manage and curate these materials, both individually and collectively. Previous studies of Electronic Lab Notebooks (ELNs) in academia and industry have identified semantic web technologies as a means for organising scientific documents to improve current workflows and knowledge management practices. In this paper, we present a qualitative, user-centred study of researcher requirements and practices, based on a series of discipline-specific focus groups. We developed a prototype semantic ELN to serve as a discussion aid for these focus groups, and to help us explore the technical readiness of a range of semantic web technologies. While these technologies showed potential, existing tools for semantic annotation were not well-received by our focus groups, and need to be refined before they can be used to enhance current researcher practices. In addition, the seemingly simple notion of “tagging and searching” documents appears anything but; the researchers in our focus groups had extremely personal requirements for how they organise their work, so the successful incorporation of semantic web technologies into their practices must permit a significant degree of customisation and personalisation.Electronic supplementary materialThe online version of this article (10.1186/s13321-019-0345-8) contains supplementary material, which is available to authorized users.

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Section: Literature and Technical Investiationsmentioning

confidence: 99%

Too many tags spoil the metadata: investigating the knowledge management of scientific research with semantic web technologies

2019

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“…As far as we know, Piao et al (2017) is the only work focusing on a time-sensitive all-words WSD system. The authors present the Historical-Thesaurus-based Semantic Tagger (HTST), a tool to annotate all lexical units of texts with the semantic categories from the Historical Thesaurus of English (Kay et al, 2016).…”

Section: Related Workmentioning

confidence: 99%

“…The authors present the Historical-Thesaurus-based Semantic Tagger (HTST), a tool to annotate all lexical units of texts with the semantic categories from the Historical Thesaurus of English (Kay et al, 2016). The method by Piao et al (2017) does not make use of corpus-driven models of word semantics. Over the past few years, a growing body of research has focused on this aspect, and researchers have developed different models for representing words' changing meaning over time.…”

Section: Related Workmentioning

confidence: 99%

When Time Makes Sense: A Historically-Aware Approach to Targeted Sense Disambiguation

Beelen¹,

Nanni²,

Ardanuy³

et al. 2021

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

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“…However, it is worth noting that we did not make any effort to improve, or adjust to the period, the semantic tagging as we did the POS tagging and lemmatisation (although of course, since POS tagging and lemmatisation are both upstream of semantic tagging, our efforts there will have had some impact on the semantic tagging). This was because substantial work to enhance semantic tagging for the early modern period has already been undertaken by the SAMUELS project, 29 which developed the Historical Thesaurus Semantic Tagger (HTST) (Alexander et al 2015;Piao et al 2017). The Encyclopedia project had no reason to duplicate this effort.…”

Section: Lemmatisation and Semantic Taggingmentioning

confidence: 99%

Supporting the corpus-based study of Shakespeare’s language: Enhancing a corpus of the First Folio

et al. 2021

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This article explores challenges in the corpus linguistic analysis of Shakespeare’s language, and Early Modern English more generally, with particular focus on elaborating possible solutions and the benefits they bring. An account of work that took place within the Encyclopedia of Shakespeare’s Language Project (2016–2019) is given, which discusses the development of the project’s data resources, specifically, the Enhanced Shakespearean Corpus. Topics covered include the composition of the corpus and its subcomponents; the structure of the XML markup; the design of the extensive character metadata; and the word-level corpus annotation, including spelling regularisation, part-of-speech tagging, lemmatisation and semantic tagging. The challenges that arise from each of these undertakings are not exclusive to a corpus-based treatment of Shakespeare’s plays but it is in the context of Shakespeare’s language that they are so severe as to seem almost insurmountable. The solutions developed for the Enhanced Shakespearean Corpus – often combining automated manipulation with manual interventions, and always principled – offer a way through.

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A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation

Cited by 17 publications

References 11 publications

Too many tags spoil the metadata: investigating the knowledge management of scientific research with semantic web technologies

Too many tags spoil the metadata: investigating the knowledge management of scientific research with semantic web technologies

When Time Makes Sense: A Historically-Aware Approach to Targeted Sense Disambiguation

Supporting the corpus-based study of Shakespeare’s language: Enhancing a corpus of the First Folio

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