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2,316 results on '"Kelleher, John"'

57. Update Frequency and Background Corpus Selection in Dynamic TF-IDF Models for First Story Detection

Author

Wang, Fei, Ross, Robert J., Kelleher, John D., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Nguyen, Le-Minh, editor, Phan, Xuan-Hieu, editor, Hasida, Kôiti, editor, and Tojo, Satoshi, editor

Published
2020
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58. F-Measure Optimisation and Label Regularisation for Energy-Based Neural Dialogue State Tracking Models

Author

Trinh, Anh Duong, Ross, Robert J., Kelleher, John D., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Farkaš, Igor, editor, Masulli, Paolo, editor, and Wermter, Stefan, editor

Published
2020
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59. Local Alignment of Frame of Reference Assignment in English and Swedish Dialogue

Author

Dobnik, Simon, Kelleher, John D., Howes, Christine, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Šķilters, Jurǵis, editor, Newcombe, Nora S., editor, and Uttal, David, editor

Published
2020
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60. Language Model Co-occurrence Linking for Interleaved Activity Discovery

Author

Rogers, Eoin, Kelleher, John D., Ross, Robert J., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Boumerdassi, Selma, editor, Renault, Éric, editor, and Mühlethaler, Paul, editor

Published
2020
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63. On the Inability of Markov Models to Capture Criticality in Human Mobility

Author

Kulkarni, Vaibhav, Mahalunkar, Abhijit, Garbinato, Benoit, Kelleher, John D., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tetko, Igor V., editor, Kůrková, Věra, editor, Karpov, Pavel, editor, and Theis, Fabian, editor

Published
2019
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66. Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings

Author

Maldonado Alfredo, Klubička Filip, and Kelleher John

Subjects
word embeddings, taxonomic embeddings, wordnet, semantic similarity, taxonomic enrichment, retrofitting, Electronic computers. Computer science, QA75.5-76.95
Abstract

Word embeddings trained on natural corpora (e.g., newspaper collections, Wikipedia or the Web) excel in capturing thematic similarity (“topical relatedness”) on word pairs such as ‘coffee’ and ‘cup’ or ’bus’ and ‘road’. However, they are less successful on pairs showing taxonomic similarity, like ‘cup’ and ‘mug’ (near synonyms) or ‘bus’ and ‘train’ (types of public transport). Moreover, purely taxonomy-based embeddings (e.g. those trained on a random-walk of WordNet’s structure) outperform natural-corpus embeddings in taxonomic similarity but underperform them in thematic similarity. Previous work suggests that performance gains in both types of similarity can be achieved by enriching natural-corpus embeddings with taxonomic information from taxonomies like Word-Net. This taxonomic enrichment can be done by combining natural-corpus embeddings with taxonomic embeddings (e.g. those trained on a random-walk of WordNet’s structure). This paper conducts a deep analysis of this assumption and shows that both the size of the natural corpus and of the random-walk coverage of the WordNet structure play a crucial role in the performance of combined (enriched) vectors in both similarity tasks. Specifically, we show that embeddings trained on medium-sized natural corpora benefit the most from taxonomic enrichment whilst embeddings trained on large natural corpora only benefit from this enrichment when evaluated on taxonomic similarity tasks. The implication of this is that care has to be taken in controlling the size of the natural corpus and the size of the random-walk used to train vectors. In addition, we find that, whilst the WordNet structure is finite and it is possible to fully traverse it in a single pass, the repetition of well-connected WordNet concepts in extended random-walks effectively reinforces taxonomic relations in the learned embeddings.

Published
2019
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67. Evaluating Sequence Discovery Systems in an Abstraction-Aware Manner

Author

Rogers, Eoin, Ross, Robert J., Kelleher, John D., Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Iliadis, Lazaros, editor, Maglogiannis, Ilias, editor, and Plagianakos, Vassilis, editor

Published
2018
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68. Exploring Online Novelty Detection Using First Story Detection Models

Author

Wang, Fei, Ross, Robert J., Kelleher, John D., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Yin, Hujun, editor, Camacho, David, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio J., editor

Published
2018
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73. An Analysis of the Application of Simplified Silhouette to the Evaluation of k-means Clustering Validity

Author

Wang, Fei, Franco-Penya, Hector-Hugo, Kelleher, John D., Pugh, John, Ross, Robert, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, and Perner, Petra, editor

Published
2017
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74. Using MT for multilingual covid-19 case load prediction from social media texts

Author

Popovic, Maja, Vasudevan, Nedumpozhimana, Meegan, Gower, Sneha, Rautmare, Nishtha, Jain, and Kelleher, John D.

Subjects
Machine learning, Machine translating
Abstract

In the context of an epidemiological study involving multilingual social media, this paper reports on the ability of machine translation systems to preserve content relevant for a document classification task designed to determine whether the social media text is related to covid-19. The results indicate that machine translation does provide a feasible basis for scaling epidemiological social media surveillance to multiple languages. Moreover, a qualitative error analysis revealed that the majority of classification errors are not caused by MT errors.

Published
2023

90. Tackling the Interleaving Problem in Activity Discovery

Author

Rogers, Eoin, Ross, Robert J., Kelleher, John D., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Series editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, De la Prieta, Fernando, editor, Vale, Zita, editor, Antunes, Luis, editor, Pinto, Tiago, editor, Campbell, Andrew T., editor, Julián, Vicente, editor, Neves, Antonio J.R., editor, and Moreno, María N., editor

Published
2018
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91. Lab of the future

Author

Yurkanin, Gary, primary, Ring-Smith, Julie, additional, Anuka, Alec, additional, Teyrouz, Emilien, additional, Shum, David, additional, De Luca, Marc, additional, Stroz, Mike, additional, Cortes, Nieves, additional, Caron, Richard, additional, Weber, James, additional, Smith, Marc, additional, Ruffener, Markus, additional, Plagellat, Sylvain, additional, Kee, Mark, additional, Gonzalez, Pablo, additional, Wong, Eva, additional, Justesen, Michael, additional, Cerutti, Jesse, additional, Kelleher, John, additional, Mahoney, Laura, additional, Burton, Noreen, additional, Balkwell, Barry, additional, O'Brien, Chris, additional, Mahoney, Daniel, additional, Pestel, Andreas, additional, Machina, Hari, additional, Burger, Reinhard, additional, Siu, George, additional, Bharwani, Anil, additional, Barry, David, additional, Wallace, David, additional, and Ilott, Paul, additional

Published
2020
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97. The rural community in nineteenth century Jersey

Author

Kelleher, John D.

Subjects
900, DA Great Britain
Abstract

After centuries of relative isolation as an outpost loyal to the English Crown the small Island of Jersey was, in the wake of the Napoleonic Wars, opened to the twin forces of large-scale immigration and economic expansion. Jersey was a product of peculiar historical circumstance, which resulted in a cossetted existence and a high degree of independence. Economic growth, founded on a merchant-based economy and on agriculture, was both fuelled by and attracted English and French immigrants. The presence of a large urban population, many of who were non-local, and wealth, created friction in a society whose institutions were designed for a dispersed rural population. An identifiable urban bloc developed and demanded access to power proportional to its wealth and size and the reform of certain structures along lines more conducive to economic life. Alongside direct political challenge was a more subtle linguistic and cultural challenge. This thesis examines these forces at work in Jersey society and assesses their impact. Emphasis is placed on the rural community, as the representative of traditional Jersey society and the guardians of local power and independence. It is argued that the potential forces of change and challenge were, by the end of the century, fairly comfortably assimilated or contained. With the exception of a Nonconformist challenge in the countryside, the challenges to Jersey society were inseparably linked to immigration and economic expansion, yet never provided a coherent and concerted attack on all fronts. The rural community was most successful at defending its institutions, yet was unable to stem the flow of English language and culture. In the short term Jersey succeeded in controlling the forces ranged against its society, but in the long tern institutional strength belied a weakening at the foundations.

Published
1991

100. A scoring system predicting the clinical course of CLPB defect based on the foetal and neonatal presentation of 31 patients

Author

Pronicka, Ewa, Ropacka-Lesiak, Mariola, Trubicka, Joanna, Pajdowska, Magdalena, Linke, Markus, Ostergaard, Elsebet, Saunders, Carol, Horsch, Sandra, van Karnebeek, Clara, Yaplito-Lee, Joy, Distelmaier, Felix, Õunap, Katrin, Rahman, Shamima, Castelle, Martin, Kelleher, John, Baris, Safa, Iwanicka-Pronicka, Katarzyna, Steward, Colin G., Ciara, Elżbieta, Wortmann, Saskia B., Piekutowska-Abramczuk, Dorota, Rokicki, Dariusz, Fałek, Olga, Nowak, Anna, Brązert, Krystyna, Green, Andrew, Mayr, Johannes A., and Additional individual contributors

Published
2017
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