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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 Hits 1 – 8 of 8 1 Teachers are tightrope walkers, they simultaneously balance academic agendas and student wellbeing Willis, A; Dwyer, Rachael; Grainger, P R. - : Australian Association for Research in Education, 2019 BASE Show details 2 The Function of Specialized Vocabulary Development in Psychosocial Rehabilitation in Traumatized Populations Willis, A; Nagel, M. - : Springer, 2018 BASE Show details 3 A Hybrid Model for Automatic Emotion Recognition in Suicide Notes Yang, H.; Willis, A.; de Roeck, A.; Nuseibeh, B.. - : Libertas Academica, 2012 Abstract: We describe the Open University team's submission to the 2011 i2b2/VA/Cincinnati Medical Natural Language Processing Challenge, Track 2 Shared Task for sentiment analysis in suicide notes. This Shared Task focused on the development of automatic systems that identify, at the sentence level, affective text of 15 specific emotions from suicide notes. We propose a hybrid model that incorporates a number of natural language processing techniques, including lexicon-based keyword spotting, CRF-based emotion cue identification, and machine learning-based emotion classification. The results generated by different techniques are integrated using different vote-based merging strategies. The automated system performed well against the manually-annotated gold standard, and achieved encouraging results with a micro-averaged F-measure score of 61.39% in textual emotion recognition, which was ranked 1st place out of 24 participant teams in this challenge. The results demonstrate that effective emotion recognition by an automated system is possible when a large annotated corpus is available. URL: https://doi.org/10.4137/BII.S8948 http://eprints.whiterose.ac.uk/108937/1/Sentiment_BII_2012.pdf http://eprints.whiterose.ac.uk/108937/ BASE Hide details 4 Speculative requirements: Automatic detection of uncertainty in natural language requirements De Roeck, A.; Willis, A.; Yang, H.. - : IEEE, 2012 BASE Show details 5 The importance of cultural humility in cross cultural research Willis, A; Allen, B. - : Australian Multicultural Interaction Institute, 2011 BASE Show details 6 Extending Nocuous Ambiguity for Anaphora in Natural Language Requirements Yang, H.; de Roeck, A.; Gervasi, V.. - 2010 BASE Show details 7 A Methodology for Automatic Identification of Nocuous Ambiguity Yang, H.; de Roeck, A.; Willis, A.. - : Association for Computational Linguistics, 2010 BASE Show details 8 Rhetoric and ethics : historical and theoretical perspectives Salomon, Willis A. (Hrsg.); Aarons, Victoria (Hrsg.). - Lewiston [u.a.] : Mellen, 1991 BLLDB UB Frankfurt Linguistik Show details

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