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Language Matters - Representations of the term heart failure in English discourse:A large-scale linguistic study
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Supporting the corpus-based study of Shakespeare’s language:Enhancing a corpus of the First Folio
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Issues and challenges in compiling a corpus of Early Modern English plays for comparison with those of William Shakespeare
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An integrated approach to metaphor and framing in cognition, discourse and practice, with an application to metaphors for cancer
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Charting the semantics of labour relations in House of Commons debates spanning two hundred years:A study of parliamentary language using corpus linguistic methods and automated semantic tagging
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A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation
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Abstract:
Automatic extraction and analysis of meaning-related information from natural language data has been an important issue in a number of research areas, such as natural language processing (NLP), text mining, corpus linguistics, and data science. An important aspect of such information extraction and analysis is the semantic annotation of language data using a semantic tagger. In practice, various semantic annotation tools have been designed to carry out different levels of semantic annotation, such as topics of documents, semantic role labeling, named entities or events. Currently, the majority of existing semantic annotation tools identify and tag partial core semantic information in language data, but they tend to be applicable only for modern language corpora. While such semantic analyzers have proven useful for various purposes, a semantic annotation tool that is capable of annotating deep semantic senses of all lexical units, or all-words tagging, is still desirable for a deep, comprehensive semantic analysis of language data. With large-scale digitization efforts underway, delivering historical corpora with texts dating from the last 400 years, a particularly challenging aspect is the need to adapt the annotation in the face of significant word meaning change over time. In this paper, we report on the development of a new semantic tagger (the Historical Thesaurus Semantic Tagger), and discuss challenging issues we faced in this work. This new semantic tagger is built on existing NLP tools and incorporates a large-scale historical English thesaurus linked to the Oxford English Dictionary. Employing contextual disambiguation algorithms, this tool is capable of annotating lexical units with a historically-valid highly fine-grained semantic categorization scheme that contains about 225,000 semantic concepts and 4,033 thematic semantic categories. In terms of novelty, it is adapted for processing historical English data, with rich information about historical usage of words and a spelling variant normalizer for historical forms of English. Furthermore, it is able to make use of knowledge about the publication date of a text to adapt its output. In our evaluation, the system achieved encouraging accuracies ranging from 77.12% to 91.08% on individual test texts. Applying time-sensitive methods improved results by as much as 3.54% and by 1.72% on average.
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URL: https://doi.org/10.1016/j.csl.2017.04.010
https://eprints.lancs.ac.uk/id/eprint/86160/1/1_s2.0_S0885230816302121_main.pdf
https://eprints.lancs.ac.uk/id/eprint/86160/
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A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation
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A computer-assisted study of the use of violence metaphors for cancer and end of life by patients, family carers and health professionals
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A computer-assisted study of the use of Violence metaphors for cancer and end of life by patients, family carers and health professionals
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The online use of Violence and Journey metaphors by patients with cancer, as compared with health professionals: a mixed methods study
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Book review: Michaela Mahlberg. Corpus stylistics and Dickens’s fiction.
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A Corpus Stylistic Investigation of the Language Style of Shakespeare's Plays in the Context of Other Contemporaneous Plays.
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Nineteenth-century English politeness: Negative politeness, conventional indirect requests and the rise of the individual self
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