1,013 research outputs found

    Building a semantically annotated corpus of clinical texts

    Get PDF
    In this paper, we describe the construction of a semantically annotated corpus of clinical texts for use in the development and evaluation of systems for automatically extracting clinically significant information from the textual component of patient records. The paper details the sampling of textual material from a collection of 20,000 cancer patient records, the development of a semantic annotation scheme, the annotation methodology, the distribution of annotations in the final corpus, and the use of the corpus for development of an adaptive information extraction system. The resulting corpus is the most richly semantically annotated resource for clinical text processing built to date, whose value has been demonstrated through its use in developing an effective information extraction system. The detailed presentation of our corpus construction and annotation methodology will be of value to others seeking to build high-quality semantically annotated corpora in biomedical domains

    Studying disciplinary corpora to teach the craft of discussion

    Get PDF
    Producing publishable quality research articles is a difficult task for novice scholarly writers. Particularly challenging is writing the Discussion/Conclusion section, which requires taking evaluative and interpretive stances on obtained results and substantiating claims regarding the worth of the scholarly contribution of the article to scientific knowledge. Conforming to the expectations of the target disciplinary community adds another dimension to the challenge. Corpus-based genre analysis can foster postgraduate writing instruction by providing insightful descriptions of rhetorical patterns and variation in disciplinary discourse. This paper introduces a pedagogically-oriented cross-disciplinary model of moves and steps devised through top-down corpus analysis. The model was applied to pedagogical materials and tasks designed to enhance genre and corpus-based teaching of Discussion/ Conclusions with an explicit focus on rhetorical conventions

    Effects of DDL technology on genre learning

    Get PDF
    To better understand the promising effects of data-driven learning (DDL) on language learning processes and outcomes, this study explored DDL learning events enabled by the Research Writing Tutor (RWT), a web-based platform containing an English language corpus annotated to enhance rhetorical input, a concordancer that was searchable for rhetorical functions, and an automated writing evaluation engine that generated rhetorical feedback. Guided by current approaches to teaching academic writing (Lea & Street, 1998; Lillis, 2001; Swales, 2004) and the knowledge-telling/knowledge-transformation model of Bereiter and Scardamalia (1987), we set out to examine whether and how direct corpus uses afforded by RWT impact novice native and non-native writers’ genre learning and writing improvement. In an embedded mixed-methods design, written responses to DDL tasks and writing progress from first to last drafts were recorded from 23 graduate students in separate one-semester courses at a US university. The qualitative and quantitative data sets were used for within-student, within-group, and between-group comparisons—the two independent variables for the latter being course section and language background. Our findings suggest that exploiting technology-mediated corpora can foster novice writers’ exploration and application of genre conventions, enhancing development of rhetorical, formal, and procedural aspects of genre knowledge

    A study on digital-based argumentative writing in English of South Korean university students

    Get PDF
    In higher education in South Korea, English proficiency has been specifically emphasised by the government (Kang, 2015; Kang, 2018; Kim, 2017; Shim & Park, 2008; Williams, 2015). However, writing skills have had little attention in education settings, including higher education institutions (Kim, 2018; Shin, 2018; Park, 2020; Shin & Hyun, 2020; Yu, 2019), despite a series of educational reforms. Students in South Korean higher education are now facing practical and specific needs for argumentative writing in English (Shim, 2016; Shin, 2018). However, the overall context of English education does not fully reflect their real needs (Kim, 2018; Kwon, 2012; Kwak, 2017; Shim, 2016). South Korean universities require their students to reach a specific level at one of the English proficiency tests (Kim, 2018; Ma, 2018; Shim, 2016), most of which include at least one argumentative writing task. Additionally, the certificate of English proficiency test is widely used as the basic skills reference for their career (Kim, 2018). In the meantime, writing proficiency has increasingly gained its own weight in English language tests (Kim, 2018; Ma, 2018; Shin, 2018), adding to the burden on students to develop their writing proficiency (Kim, 2018; Ma, 2018). Despite students’ need for improvement in English writing proficiency, including English argumentative writing, writing courses given by South Korean higher education institutions are still rare (Kim, 2018; Ma, 2018; Shin, 2018; Yu, 2019) and often allow little room for reviewing tasks (Kim, 2018; Ma, 2018; Shim, 2018), even though they commonly use a process-based approach. Furthermore, in immediate response to their needs, higher education institutions in both the public and private sectors have maintained narrow academic attention, focusing on test specific writing skills (Kim, 2018; Shin, 2018). All these situations have resulted in a lack of educational opportunities for students to receive theoretically and systematically well designed instruction in developing their argumentation skills (Shin, 2018). For South Korean students learning English as a foreign language (EFL), argumentative writing in English includes acquiring an understanding of and the skills for both critical thinking and English-specific conventions for the target genre of writing (Ahn & Park, 2019; Choi, 2008; Shim, 2016). To promote a fast and concrete understanding of argumentation in English, representative organisational structures are often used in instructional practices. While many of the courses for English argumentative writing in South Korea are limited to the delivery of instructions, or creating a rough claim-evidence link in a paragraph, this simple formula-based approach may have a limited influence on the level of argumentation that university students in South Korea are able to develop (Choi, 2008). To enhance students’ in-depth knowledge of and skills for making arguments in English, a systematic and effective instructional model is necessary, targeting argumentation development and investigated by rigorous research. However, with a traditionally narrow focus on writing in English education, studies on English writing itself, including argumentative writing, have been limited, despite the importance of this area. As a way of introducing systematically presented models into instruction in English argumentative writing, the Toulmin model can be an effective option. It suggests a detailed, sequenced, intensively explained process for the logical framework for writing in English. In this sense, it is necessary to explore how to modify and apply Toulmin’s components into the courses for English argumentative writing in South Korean higher education. In addition to the practical applicability of the Toulmin model, it is necessary to consider the common context in which writing courses in South Korean higher education institutions provide some phases for drafting and revision/editing, which are broadly anchored in the process-based writing approach. Considering the practical challenge caused by a lack of time for drafting in writing courses (Kim, 2018; Ma, 2018; Shim, 2018), online based classes can be a better option, enabling more flexibility in time and space. Even before the Covid-19 outbreak, diverse synchronous and asynchronous digital writing environments have been utilised in the field of higher education in South Korea to enhance students’ writing performance and also increase the connectivity between learners and teachers. However, the digital environments for English writing in South Korea are still based on a lack of rigour in terms of research evidence, which signals the need for more research into how best to develop digital writing platforms and incorporate necessary support for users. With the two main areas of English argumentative writing and digital learning environments for writing combined, this study explores the effectiveness of a digital-based argumentative writing course in South Korea, as well as the pedagogical implications. To investigate the effects of digital course development for instruction in English argumentative writing for university students in South Korea and derive insights in digital course design for English argumentative writing for university students in South Korea, this study used a sequential mixed-methods design: quantitative phase followed by qualitative phase for collection and analysis of data sets. The English argumentative writing course in this study applies the Toulmin model (1958; 2003) as a specific teaching strategy, with a cycle of drafting and exchanging feedback using the process-based writing approach. To provide the online group with a digital-based collaborative writing1 environment for feedback exchanges, the writing platform, Scholar, was used. In this study, 43 undergraduate students in South Korea participated in a writing course for one semester, 22 participants in a control group (offline course) and 21 participants in an intervention group (online course). They participated in pre- and post-writing tests, two sessions of interviews, and narrative writing for reflection. Also, ten university teaching staff and e-developers took part in one individual interview session each, to provide professional views on the online instructional design that is implemented in the English argumentative writing of this study. In terms of the effectiveness of the online writing course for developing argumentation skills in English, the findings from the quantitative analysis show both online and offline courses had a positive impact on improvement and retention. Although the statistical results present no indication that the online class had higher learning gains than the offline group by any significant difference, this result is supported by the findings from the qualitative analysis, which indicates that the online group performed better in terms of the quality and the quantity of peer feedback. In addition, the findings from the qualitative analysis suggest that the writing course in this study helped students to develop their knowledge and sensitivity in argumentation in English, and the online course facilitated enhanced engagement in feedback tasks. Moreover, despite recognising the value of face-to-face interaction for English argumentative writing, the qualitative findings suggest that the anonymity and convenience of the online writing course in this study encouraged participation in feedback. Finally, the findings from teaching staff and e-developer interviews reveal generally positive perceptions of and evaluations of the usefulness and applicability of the Toulmin model for English argumentation development, and the collaborative writing environment of Scholar. ( 1. In this study, the term, ‘collaborative writing,’ means individual student’s essay writing supported by external feedback, including peer and teacher feedback, not co-authorship in writing one shared essay together.

    Inclusive Pedagogies

    Get PDF
    Building on the principles explored in Foundations of Intercultural Teaching, this resource introduces educators to educational strategies that can foster more inclusive, equitable, and just classroom environments

    Evaluation of the DfES ICT Test Bed Project: annual report 2004

    Get PDF

    A Computational Lexicon and Representational Model for Arabic Multiword Expressions

    Get PDF
    The phenomenon of multiword expressions (MWEs) is increasingly recognised as a serious and challenging issue that has attracted the attention of researchers in various language-related disciplines. Research in these many areas has emphasised the primary role of MWEs in the process of analysing and understanding language, particularly in the computational treatment of natural languages. Ignoring MWE knowledge in any NLP system reduces the possibility of achieving high precision outputs. However, despite the enormous wealth of MWE research and language resources available for English and some other languages, research on Arabic MWEs (AMWEs) still faces multiple challenges, particularly in key computational tasks such as extraction, identification, evaluation, language resource building, and lexical representations. This research aims to remedy this deficiency by extending knowledge of AMWEs and making noteworthy contributions to the existing literature in three related research areas on the way towards building a computational lexicon of AMWEs. First, this study develops a general understanding of AMWEs by establishing a detailed conceptual framework that includes a description of an adopted AMWE concept and its distinctive properties at multiple linguistic levels. Second, in the use of AMWE extraction and discovery tasks, the study employs a hybrid approach that combines knowledge-based and data-driven computational methods for discovering multiple types of AMWEs. Third, this thesis presents a representative system for AMWEs which consists of multilayer encoding of extensive linguistic descriptions. This project also paves the way for further in-depth AMWE-aware studies in NLP and linguistics to gain new insights into this complicated phenomenon in standard Arabic. The implications of this research are related to the vital role of the AMWE lexicon, as a new lexical resource, in the improvement of various ANLP tasks and the potential opportunities this lexicon provides for linguists to analyse and explore AMWE phenomena
    • 

    corecore