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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 3 4 Hits 1 – 20 of 62 1 Learning to Explain: Generating Stable Explanations Fast ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Gholamreza; Maruf, Sameen. - : Underline Science Inc., 2021 BASE Show details 2 The importance of social identity on password formulations [<Journal>] Grobler, Marthie [Verfasser]; Chamikara, M. A. P. [Verfasser]; Abbott, Jacob [Verfasser]. DNB Subject Category Language Show details 3 DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains ... Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2020 BASE Show details 4 Assessing Social License to Operate from the Public Discourse on Social Media ... The 28th International Conference on Computational Linguistics 2020; Nepal, Surya; Paris, Cecile. - : Underline Science Inc., 2020 BASE Show details 5 Understanding the Mood of Social Media Messages Power, Robert; Robinson, Bella; Dennett, Amanda. - 2020 BASE Show details 6 Recognising Agreement and Disagreement between Stances with Reason Comparing Networks ... Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2019 BASE Show details 7 Catering to your concerns: Automatic generation of personalised security-centric descriptions for Android apps Wu, Tingmin; Tang, Lihong; Zhang, Rongjunchen... In: ACM Transactions on Cyber-Physical Systems, Vol. 3, no. 4 (Sep 2019), article no. 36 (2019) BASE Show details 8 Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection Iyer, Adith; Joshi, Aditya; Karimi, Sarvnaz. - : ACL, 2019 BASE Show details 9 Cross-Target Stance Classification with Self-Attention Networks ... Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2018 BASE Show details 10 Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps ... Wu, Tingmin; Tang, Lihong; Zhang, Rongjunchen. - : arXiv, 2018 BASE Show details 11 Evaluating the Usability of a Controlled Language Authoring Assistant Miyata Rei; Hartley Anthony; Kageura Kyo... In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 147-158 (2017) (2017) BASE Show details 12 Query-oriented evidence extraction to support evidence-based medicine practice Sarker, Abeed; Mollá, Diego; Paris, Cecile. - : Elsevier, 2016 BASE Show details 13 Incorporating tweet relationships into topic derivation Nugroho, Robertus; Molla-Aliod, Diego; Yang, Jian; Zhong, Youliang; Paris, Cecile; Nepal, Surya. - : Singapore : Springer, 2016 Abstract: With its rapid users growth, Twitter has become an essential source of information about what events are happening in the world. It is critical to have the ability to derive the topics from Twitter messages (tweets), that is, to determine and characterize the main topics of the Twitter messages (tweets). However, tweets are very short in nature and therefore the frequency of term co-occurrences is very low. The sparsity in the relationship between tweets and terms leads to a poor characterization of the topics when only the content of the tweets is used. In this paper, we exploit the relationships between tweets and propose intLDA, a variant of Latent Dirichlet Allocation (LDA) that goes beyond content and directly incorporates the relationship between tweets. We have conducted experiments on a Twitter dataset and evaluated the performance in terms of both topic coherence and tweet-topic accuracy. Our experiments show that intLDA outperforms methods that do not use relationship information. ; 14 page(s) Keyword: topic derivation; tweets relationship; twitter URL: http://hdl.handle.net/1959.14/1058264 BASE Hide details 14 A Corpus for research in text processing for evidence based medicine Mollá, Diego; Santiago-Martínez, María Elena; Sarker, Abeed. - : Springer, 2016 BASE Show details 15 Focused and aggregated search: A perspective from natural language generation Paris, Cecile; Wan, Stephen; Thomas, Paul In: Information Retrieval (2015) BASE Show details 16 Focused and aggregated search: A perspective from natural language generation Paris, Cecile; Wan, Stephen; Thomas, Paul In: Information Retrieval (2015) BASE Show details 17 Outcome polarity identification of medical papers Sarker, Abeed; Mollá-Aliod, Diego; Paris, Cécile. - : Melbourne : Australian Language Technology Association, 2011 BASE Show details 18 Discourse planning for information composition and delivery: a reusable platform Lampert, Andrew; Colineau, Nathalie; Vander Linden, Keith... In: Natural language engineering. - Cambridge : Cambridge University Press 16 (2010) 1, 61-98 BLLDB OLC Linguistik Show details 19 Spanning tree approaches for statistical sentence generation Wan, Stephen; Dras, Mark; Dale, Robert. - : Berlin : Springer, 2010 BASE Show details 20 Detecting emails containing requests for action Lampert, Andrew; Dale, Robert; Paris, Cecile. - : Stroudsburg, PA : Association for Computational Linguistics, 2010 BASE Show details Page: 1 2 3 4

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