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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 Page: 1 2 Hits 1 – 20 of 29 1 Self-Administered Computer Therapy for Apraxia of Speech Varley, R. A.; Cowell, P. E.; Dyson, L.. - 2016 BASE Show details 2 Developing and Evaluating Digital Creativity Support in Google Docs for Journalists Maiden, N.; Zachos, K.; Lockerbie, J.. - 2016 BASE Show details 3 Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis Ofek, Nir; Poria, Soujanya; Rokach, Lior. - : BMC, 2016 BASE Show details 4 An individual subjectivist critique of the use of corpus linguistics to inform pedagogical materials. Pilcher, Nick; Richards, Kendall. - : University of Pittsburgh, University Library System, 2016 BASE Show details 5 Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques Dashtipour, Kia; Poria, Soujanya; Hussain, Amir. - : BMC, 2016 BASE Show details 6 Combinatorial Dialogue Games in Strategic Argumentation Wells, Simon. - : College Publications, 2016 BASE Show details 7 Transition-based dependency parsing as latent-variable constituent parsing Nederhof, Mark Jan. - : Association for Computational Linguistics, 2016 BASE Show details 8 A short proof that O2 is an MCFL Nederhof, Mark Jan. - : Association for Computational Linguistics, 2016 BASE Show details 9 Acoustic model selection for recognition of regional accented speech Najafian, Maryam. - 2016 BASE Show details 10 Automatic Text Summarization Using Fuzzy Inference Jafari, Mehdi; Shahabi, Amir; Wang, Jing. - : IEEE, 2016 BASE Show details 11 A Graph Theory-based Online Keywords Model for Image Semantic Extraction Wang, Jing; Xu, Zhijie. - : Association of Computing Machinery (ACM), 2016 BASE Show details 12 Mapping behavioural – related retention factors using a learning community lens: A mixed methods approach. Chrysikos, Alexandros. - 2016 BASE Show details 13 A Visualization Method for Understanding Forensic Statements Wang, Jing; Ho, Yufang; Xu, Zhijie. - 2016 BASE Show details 14 The Visualisation of Cognitive Structures in Forensic Statements Wang, Jing; Ho, Yufang; Xu, Zhijie. - 2016 BASE Show details 15 Hybrid Collaborative Brain-Computer Interfaces to Augment Group Decision Making Valeriani, D; Cinel, C; Poli, R. - 2016 BASE Show details 16 A corpus-based study of academic-collocation use and patterns in postgraduate Computer Science students’ writing Farooqui, Afnan Saleh. - 2016 BASE Show details 17 The Genitive Ratio and its Applications Glover, Kevin. - 2016 Abstract: The genitive ratio (GR) is a novel method of classifying nouns as animate, concrete or abstract. English has two genitive (possessive) constructions: possessive-s (the boy's head) and possessive-of (the head of the boy). There is compelling evidence that preference for possessive-s is strongly influenced by the possessor's animacy. A corpus analysis that counts each genitive construction in three conditions (definite, indefinite and no article) confirms that occurrences of possessive-s decline as the animacy hierarchy progresses from animate through concrete to abstract. A computer program (Animyser) is developed to obtain results-counts from phrase-searches of Wikipedia that provide multiple genitive ratios for any target noun. Key ratios are identified and algorithms developed, with specific applications achieving classification accuracies of over 80%. The algorithms, based on logistic regression, produce a score of relative animacy that can be applied to individual nouns or to texts. The genitive ratio is a tool with potential applications in any research domain where the relative animacy of language might be significant. Three such applications exemplify that. Combining GR analysis with other factors might enhance established co-reference (anaphora) resolution algorithms. In sentences formed from pairings of animate with concrete or abstract nouns, the animate noun is usually salient, more likely to be the grammatical subject or thematic agent, and to co-refer with a succeeding pronoun or noun-phrase. Two experiments, online sentence production and corpus-based, demonstrate that the GR algorithm reliably predicts the salient noun. Replication of the online experiment in Italian suggests that the GR might be applied to other languages by using English as a 'bridge'. In a mental health context, studies have indicated that Alzheimer's patients' language becomes progressively more concrete; depressed patients' language more abstract. Analysis of sample texts suggests that the GR might monitor the prognosis of both illnesses, facilitating timely clinical interventions. Keyword: QA75 Electronic computers. Computer science URL: http://repository.essex.ac.uk/16463/ http://repository.essex.ac.uk/16463/2/Genitive%20Ratio%20Data%20Files.zip http://repository.essex.ac.uk/16463/1/The%20Genitive%20Ratio%20and%20its%20Applications.pdf BASE Hide details 18 Anaphora Resolution: Algorithms, Resources, and Applications Poesio, M; Stuckardt, R; Versley, Y. - : Springer, 2016 BASE Show details 19 Users-Centric Adaptive Learning System Based on Interval Type-2 Fuzzy Logic for Massively Crowded E-Learning Platforms Almohammadi, Khalid; Hagras, Hani; Alghazzawi, Daniyal. - : Walter de Gruyter GmbH, 2016 BASE Show details 20 Cloud enabled data analytics and visualization framework for health-shocks prediction Mahmud, Shahid; Iqbal, Rahat; Doctor, Faiyaz. - : Elsevier, 2016 BASE Show details Page: 1 2

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