• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Baron, Alistair (32)
    • Rayson, Paul (23)
    • Archer, Dawn (8)
    • Alexander, Marc (6)
    • Dallachy, Fraser (6)
    • Piao, Scott (5)
    • Hardie, Andrew (4)
    • Murrieta-Flores, Patricia (4)
    • Rayson, Paul Edward (4)
    • Smith, Nicholas (4)
    •   more
  • 
    Year
  • 
    Medium:
    
    • Online (28)
    • Print (4)
  • 
    Type
  • 
    BLLDB-Access:
    • free (32)
    • subject to license (2)

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 32 1 Fool's Gold:Understanding the Linguistic Features of Deception and Humour Through April Fools’ Hoaxes Dearden, Edward; Baron, Alistair. - 2019 BASE Show details 2 Fool’s Errand:Looking at April Fools Hoaxes as Disinformation through the Lens of Deception and Humour Dearden, Edward; Baron, Alistair. - 2019 BASE Show details 3 Lancaster at SemEval-2018 Task 3:Investigating Ironic Features in English Tweets Dearden, Edward; Baron, Alistair. - : Association for Computational Linguistics, 2018 BASE Show details 4 A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation Piao, Scott Songlin; Dallachy, Fraser; Baron, Alistair; Demmen, Jane Elizabeth; Wattam, Steve; Durkin, Philip; McCracken, James; Rayson, Paul Edward; Alexander, Marc. - 2017 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. 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/ BASE Hide details 5 Towards Interactive Multidimensional Visualisations for Corpus Linguistics Rayson, Paul Edward; Mariani, John Amedeo; Anderson-Cooper, Bryce. - 2017 BASE Show details 6 A time-sensitive historical thesaurus-based semantic tagger for deep semantic annotation Piao, Scott; Dallachy, Fraser; Baron, Alistair. - : Elsevier, 2017 BASE Show details 7 Automatically analysing large texts in a GIS environment:the Registrar General’s reports and cholera in the nineteenth century Murrieta-Flores, Patricia; Baron, Alistair; Gregory, Ian Norman. - 2015 BASE Show details 8 Semantic tagging and early modern collocates Alexander, Marc; Baron, Alistair; Dallachy, Fraser. - 2015 BASE Show details 9 Guidelines for normalising early modern English corpora:decisions and justifications Archer, Dawn; Kytö, Merja; Baron, Alistair. - 2015 BASE Show details 10 Semantic tagging and early modern collocates Alexander, Marc; Baron, Alistair; Dallachy, Fraser. - 2015 BASE Show details 11 The Historical Thesaurus Semantic Tagger Alexander, Marc; Baron, Alistair; Dallachy, Fraser. - 2015 BASE Show details 12 Metaphor, popular science and semantic tagging:distant reading with the Historical Thesaurus of English Alexander, Marc; Dallachy, Fraser; Piao, Scott. - 2015 BASE Show details 13 "I didn't spel that wrong did I oops" : analysis and normalisation of SMS spelling variation Tagg, Caroline; Baron, Alistair; Rayson, Paul In: SMS communication (Amsterdam, 2014), p. 218-238 MPI für Psycholinguistik Show details 14 Normalising the corpus of English dialogues (1560-1760) using VARD2:decisions and justifications Archer, Dawn; Kytö, Merja; Baron, Alistair. - 2014 BASE Show details 15 "i didn't spel that wrong did i. Oops":Analysis and normalisation of SMS spelling variation Tagg, Caroline; Baron, Alistair; Rayson, Paul. - : John Benjamins Publishing Company, 2014 BASE Show details 16 Customising geoparsing and georeferencing for historical texts Rupp, C. J.; Rayson, Paul; Baron, Alistair. - : IEEE, 2013 BASE Show details 17 Geographical Text Analysis Mapping and spatially analysing corpora Gregory, Ian; Baron, Alistair; Murrieta-Flores, Patricia. - : UCREL, 2013 BASE Show details 18 Integrating corpus linguistics and spatial technologies for the analysis of literature Murrieta-Flores, Patricia; Gregory, Ian; Cooper, David. - : UCREL, 2013 BASE Show details 19 Children Online: A survey of child language and CMC corpora Baron, Alistair; Rayson, Paul; Greenwood, Phil... In: International journal of corpus linguistics. - Amsterdam [u.a.] : Benjamins 17 (2012) 4, 443-481 OLC Linguistik Show details 20 Children online : a survey of child language and CMC corpora Baron, Alistair; Rayson, Paul; Greenwood, Philip... In: International journal of corpus linguistics. - Amsterdam [u.a.] : Benjamins 17 (2012) 4, 443-481 BLLDB Show details Page: 1 2

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 1 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 2 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 1 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 28 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0