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Meeting Place of Cultures: Aboriginal Students and Standard Australian English Learning
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In: Research outputs 2014 to 2021 (2014)
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64 |
Norms and varieties of English and TESOL teacher agency
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In: Australian Journal of Teacher Education (2014)
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65 |
Self-Efficacy in Low-Level English Language Learners
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In: Dissertations and Theses (2014)
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66 |
Code Switching Between Tamazight and Arabic in the First Libyan Berber News Broadcast: An Application of Myers-Scotton's MLF and 4M Models
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In: Dissertations and Theses (2014)
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67 |
Conquering the Computer: Digital Literacy Acquisition among Vulnerable Adult Learners
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In: Presentations and Publications (2014)
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Opportunities for Incidental Acquisition of Academic Vocabulary from Teacher Speech in an English for Academic Purposes Classroom
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In: Dissertations and Theses (2014)
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69 |
Social Media, Fandom and Language Learning: A Roundtable with Shannon Sauro and Steven L. Thorne
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In: World Languages and Literatures Faculty Publications and Presentations (2014)
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How Do Adults Acquire Digital Literacy Skills? Exploring Tutor-facilitated Learning and Teaching Within Community Based Organizations
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In: Presentations and Publications (2014)
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71 |
A Comparison of Linguistic Features in the Academic Writing of Advanced English Language Learner and English First Language University Students
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In: Dissertations and Theses (2014)
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Production and Consumption: A Closer Look at Adult Digital Literacy Acquisition
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In: Presentations and Publications (2014)
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73 |
Microblog-genre noise and impact on semantic annotation accuracy ...
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Microblog-genre noise and impact on semantic annotation accuracy ...
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Abstract:
Using semantic technologies for mining and intelligent information access to microblogs is a challenging, emerging research area. Unlike carefully authored news text and other longer content, tweets pose a number of new challenges, due to their short, noisy, context-dependent, and dynamic nature. Semantic annotation of tweets is typically performed in a pipeline, comprising successive stages of language identification, tokenisation, part-of-speech tagging, named entity recognition and entity disambiguation (e.g. with respect to DBpedia). Consequently, errors are cumulative, and earlier-stage problems can severely reduce the performance of final stages. This paper presents a characterisation of genre-specific problems at each semantic annotation stage and the impact on subsequent stages. Critically, we evaluate impact on two high-level semantic annotation tasks: named entity detection and disambiguation. Our results demonstrate the importance of making approaches specific to the genre, and indicate a ...
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Keyword:
Applied Computer Science; Artificial Intelligence and Image Processing; FOS Computer and information sciences; FOS Languages and literature; Linguistics
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URL: https://dx.doi.org/10.6084/m9.figshare.951943.v1 https://figshare.com/articles/journal_contribution/Microblog_genre_noise_and_impact_on_semantic_annotation_accuracy/951943/1
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How Far Can You Stretch a Note?: Developing an Approach to the Study of Metaphor in the Language of Music Instruction ...
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A Human Judgment Corpus and a Metric for Arabic MT Evaluation ...
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A Human Judgment Corpus and a Metric for Arabic MT Evaluation ...
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Beyond the Static Phoneme Boundary: The Nonlinear Dynamics of Emerging Literacy ...
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