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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
61

CIAIR In-Car Speech Corpus : Influence of Driving Status

Kawaguchi, Nobuo, Matsubara, Shigeki, Takeda, Kazuya, Itakura, Fumitada 03 1900 (has links)
No description available.
62

Supervised machine learning for email thread summarization

Ulrich, Jan 11 1900 (has links)
Email has become a part of most people's lives, and the ever increasing amount of messages people receive can lead to email overload. We attempt to mitigate this problem using email thread summarization. Summaries can be used for things other than just replacing an incoming email message. They can be used in the business world as a form of corporate memory, or to allow a new team member an easy way to catch up on an ongoing conversation. Email threads are of particular interest to summarization because they contain much structural redundancy due to their conversational nature. Our email thread summarization approach uses machine learning to pick which sentences from the email thread to use in the summary. A machine learning summarizer must be trained using previously labeled data, i.e. manually created summaries. After being trained our summarization algorithm can generate summaries that on average contain over 70% of the same sentences as human annotators. We show that labeling some key features such as speech acts, meta sentences, and subjectivity can improve performance to over 80% weighted recall. To create such email summarization software, an email dataset is needed for training and evaluation. Since email communication is a private matter, it is hard to get access to real emails for research. Furthermore these emails must be annotated with human generated summaries as well. As these annotated datasets are rare, we have created one and made it publicly available. The BC3 corpus contains annotations for 40 email threads which include extractive summaries, abstractive summaries with links, and labeled speech acts, meta sentences, and subjective sentences. While previous research has shown that machine learning algorithms are a promising approach to email summarization, there has not been a study on the impact of the choice of algorithm. We explore new techniques in email thread summarization using several different kinds of regression, and the results show that the choice of classifier is very critical. We also present a novel feature set for email summarization and do analysis on two email corpora: the BC3 corpus and the Enron corpus.
63

Writing difficult texts

Tribble, Chris January 1999 (has links)
No description available.
64

Sentence and word alignment between Chinese and English

Piao, Scott January 2000 (has links)
No description available.
65

Multi word units in a corpus-based study of Memoranda of Understanding : modal multi word units

Awab, Su'ad January 1999 (has links)
No description available.
66

Supervised machine learning for email thread summarization

Ulrich, Jan 11 1900 (has links)
Email has become a part of most people's lives, and the ever increasing amount of messages people receive can lead to email overload. We attempt to mitigate this problem using email thread summarization. Summaries can be used for things other than just replacing an incoming email message. They can be used in the business world as a form of corporate memory, or to allow a new team member an easy way to catch up on an ongoing conversation. Email threads are of particular interest to summarization because they contain much structural redundancy due to their conversational nature. Our email thread summarization approach uses machine learning to pick which sentences from the email thread to use in the summary. A machine learning summarizer must be trained using previously labeled data, i.e. manually created summaries. After being trained our summarization algorithm can generate summaries that on average contain over 70% of the same sentences as human annotators. We show that labeling some key features such as speech acts, meta sentences, and subjectivity can improve performance to over 80% weighted recall. To create such email summarization software, an email dataset is needed for training and evaluation. Since email communication is a private matter, it is hard to get access to real emails for research. Furthermore these emails must be annotated with human generated summaries as well. As these annotated datasets are rare, we have created one and made it publicly available. The BC3 corpus contains annotations for 40 email threads which include extractive summaries, abstractive summaries with links, and labeled speech acts, meta sentences, and subjective sentences. While previous research has shown that machine learning algorithms are a promising approach to email summarization, there has not been a study on the impact of the choice of algorithm. We explore new techniques in email thread summarization using several different kinds of regression, and the results show that the choice of classifier is very critical. We also present a novel feature set for email summarization and do analysis on two email corpora: the BC3 corpus and the Enron corpus.
67

Extracellular matrix and the development and atresia of bovine ovarian follicles.

Irving-Rodgers, Helen January 2007 (has links)
Title page, table of contents and abstract only. The complete thesis in print form is available from the University of Adelaide Library. / The studies submitted for this thesis encompass two broad areas of interest. The first is the role of extracellular matrix during folliculogenesis, including ovulation and corpus luteum formation. The observations made were extended in a second series of studies investigating matrix and other parameters of morphologically distinct follicles. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1274421 / Thesis (Ph.D.) -- University of Adelaide, School of Paediatrics and Reproductive Health, 2007
68

In-vivo-Untersuchungen der Wirkung von Neurotoxinen auf das nigrostriatale System der Ratte /

Grote, Christoph. January 1994 (has links) (PDF)
Universiẗat, Diss.--Marburg, 1994.
69

Mechanisms of reduced luteal sensitivity to PGF₂[alpha] in ruminants

Costine, Beth Alyson, January 2004 (has links)
Thesis (Ph. D.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains xiii, 119 p. : ill. Vita. Includes abstract. Includes bibliographical references (p. 95-118).
70

Studies on the effects of exogenous oxytocin and glucose and experimental infection and suckling on the bovine corpus luteum, uterus and utero-ovarian physiology

Lynn, John Edward, January 1965 (has links)
Thesis (Ph. D.)--University of Wisconsin--Madison, 1965. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

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