228 research outputs found

    Introducing a corpus of conversational stories. Construction and annotation of the Narrative Corpus

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    Although widely seen as critical both in terms of its frequency and its social significance as a prime means of encoding and perpetuating moral stance and configuring self and identity, conversational narrative has received little attention in corpus linguistics. In this paper we describe the construction and annotation of a corpus that is intended to advance the linguistic theory of this fundamental mode of everyday social interaction: the Narrative Corpus (NC). The NC contains narratives extracted from the demographically-sampled sub-corpus of the British National Corpus (BNC) (XML version). It includes more than 500 narratives, socially balanced in terms of participant sex, age, and social class. We describe the extraction techniques, selection criteria, and sampling methods used in constructing the NC. Further, we describe four levels of annotation implemented in the corpus: speaker (social information on speakers), text (text Ids, title, type of story, type of embedding etc.), textual components (pre-/post-narrative talk, narrative, and narrative-initial/final utterances), and utterance (participation roles, quotatives and reporting modes). A brief rationale is given for each level of annotation, and possible avenues of research facilitated by the annotation are sketched out

    SPEEDy. A Practical Editor for Texts Annotated with Standoff Properties

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    Standoff properties can be used to record textual properties or annotations that may freely overlap and need not conform to a context-free grammar. In this way they avoid the ‘overlapping hierarchies’ problem inherent in markup languages like XML. Instead of embedding markup tags directly into the text stream, standoff properties are stored separately, and refer to positions in the text where each property starts and ends. However, this has the effect of tightly binding the properties to the text, and hence any change in the underlying text invalidates them. This limitation usually makes this method impractical in cases where the text is mutable, and is mostly used when the text is already fixed or proofread to a high standard. However, if it did become feasible to use standoff properties on mutable texts, this method could also be used in the process of text production, on dynamically evolving texts, such as emails, forum messages, personal notes and even drafts of academic papers. Digitised transcriptions of historical documents, whether produced manually or through OCR, could then be easily corrected at an earlier stage of typographic correctness. By overcoming the overlapping hierarchies problem this technique thus offers the prospect of significant productivity gains for producing digital editions, as well as a new mode of engagement for annotation. This paper describes the SPEEDy editor, a practical realisation of this technique. It outlines the editor’s foundational concepts, its standoff properties model, and its main interface features

    Collaborative relation annotation and quality analysis in Markyt environment

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    Text mining is showing potential to help in biomedical knowledge integration and discovery at various levels. However, results depend largely on the specifics of the knowledge problem and, in particular, on the ability to produce high-quality benchmarking corpora that may support the training and evaluation of automatic prediction systems. Annotation tools enabling the flexible and customizable production of such corpora are thus pivotal. The open-source Markyt annotation environment brings together the latest web technologies to offer a wide range of annotation capabilities in a domain-agnostic way. It enables the management of multi-user and multi-round annotation projects, including inter-annotator agreement and consensus assessments. Also, Markyt supports the description of entity and relation annotation guidelines on a project basis, being flexible to partial word tagging and the occurrence of annotation overlaps. This paper describes the current release of Markyt, namely new annotation perspectives, which enable the annotation of relations among entities, and enhanced analysis capabilities. Several demos, inspired by public biomedical corpora, are presented as means to better illustrate such functionalities. Markyt aims to bring together annotation capabilities of broad interest to those producing annotated corpora. Markyt demonstration projects describe 20 different annotation tasks of varied document sources (e.g. abstracts, twitters or drug labels) and languages (e.g. English, Spanish or Chinese). Continuous development is based on feedback from practical applications as well as community reports on short- and medium-term mining challenges. Markyt is freely available for non-commercial use at http://markyt.org.This work was partially supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UID/BIO/04469/2013 unit and COMPETE 2020 (POCI-01-0145-FEDER-006684). The authors also acknowledge the PhD grants of M.P.-P. and G.P.-R., funded by the Xunta de Galicia.info:eu-repo/semantics/publishedVersio

    “Standing-off Trees and Graphs”: On the Affordance of Technologies for the Assertive Edition

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    Starting from the observation that the existing models of digital scholarly editions can be expressed in many technologies, this paper goes beyond the simple opposition of ‘XML’ and ‘graph’, It studies the implicit context of the technologies as applied to digital scholarly editions: embedded mark-up in XML/TEI trees, graph representa- tions in RDF, and stand-off annotation as realised in annotation tools widely used for information extraction. It describes the affordances of the encoding methods offered. It takes as a test case the “assertive edition” (Vogeler 2019), in which the text is considered in a double role: as palaeographical and linguistic phenomenon, and as a representation of information. It comes to the conclusion that the affordances of XML help to detect sequential and hierarchical properties of a text, while those of RDF best cover the representation of knowledge as semantic networks of statements. The relationship between them can be expressed by the metaphor of ‘layers’, for which stand-off annotation technologies seem to be best fitted. However, there is no standardised technical formalism to create stand-off annotations beyond graphical tools sharing interface elements. The contribution concludes with the call for the acceptance of the advantages of each technology, and for efforts to be made to discuss the best way to combine these technologies
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