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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 – 6 of 6 1 Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models ... Nair, Suraj; Yang, Eugene; Lawrie, Dawn. - : arXiv, 2022 BASE Show details 2 KELVIN: a tool for automated knowledge base construction ... McNamee, Paul; Mayfield, James; Finin, Tim. - : My University, 2013 BASE Show details 3 A Context-Aware Approach to Entity Linking ... Stoyanov, Veselin; Mayfield, James; Xu, Tan. - : Association for Computational Linguistics, 2012 BASE Show details 4 Language Models for Hierarchical Summarization Lawrie, Dawn J. In: DTIC (2003) BASE Show details 5 Language models for hierarchical summarization Lawrie, Dawn J In: Doctoral Dissertations Available from Proquest (2003) BASE Show details 6 LANGUAGE MODELS FOR HIERARCHICAL SUMMARIZATION (PROPOSAL FOR DISSERTATION) Lawrie, Dawn In: Computer Science Department Faculty Publication Series (2001) Abstract: Hierarchies have long been used for organization, summarization, and access to information. In this proposal we define summarization in terms of a probabilistic language model and use the definition to explore new techniques for automatically generating topic hierarchies. One technique applies a graph-theoretic algorithm, which is an approximation of the Dominating Set Problem. Another technique uses an entropy-based approach to choose topic terms. Both techniques efficiently select terms according to a language model. We compare the new techniques to previous methods proposed for constructing topic hierarchies including subsumption and lexical hierarchies, as well as words found using TF.IDF. Our preliminary results show that the new techniques perform as well as or better than these other techniques. We plan to evaluate the two techniques further through user studies as well as computer simulations. We will also develop a demo for better interaction with users. Keyword: Computer Sciences URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1077&context=cs_faculty_pubs https://scholarworks.umass.edu/cs_faculty_pubs/78 BASE Hide details

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