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Titlebook: Computational Processing of the Portuguese Language; 7th International Wo Renata Vieira,Paulo Quaresma,Maria Carmelita Dias Conference proc

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發(fā)表于 2025-3-21 19:54:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Processing of the Portuguese Language
副標題7th International Wo
編輯Renata Vieira,Paulo Quaresma,Maria Carmelita Dias
視頻videohttp://file.papertrans.cn/233/232916/232916.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computational Processing of the Portuguese Language; 7th International Wo Renata Vieira,Paulo Quaresma,Maria Carmelita Dias Conference proc
描述Since 1993, PROPOR Workshops have become an important forum for - searchers involved in the Computational Processing of Portuguese,both written and spoken. This PROPOR Workshop follows previous workshops held in 1993 (Lisbon, Portugal), 1996 (Curitiba, Brazil), 1998 (Porto Alegre, Brazil), 1999 ′ (Evora, Portugal), 2000 (Atibaia, Brazil) and 2003 (Faro, Portugal). The wo- shop has increasingly contributed to bringing together researchers and industry partners from both sides of the Atlantic. The constitution of an international Program Committee and the adoption of high-standard referee procedures demonstrate the steady development of the ?eld and of its scienti?c community. In 2006 PROPOR received 56 paper submissions from 11 di?erent countries: Brazil, Portugal, Spain, Norway, USA, Italy, Japan, France, Canada, Denmark and the UK, from which 9 are represented in the accepted papers. Each submitted paper underwent a careful, triple-blind review by the P- gram Committee. All those who contributed are mentioned in the following pages. The reviewing process led to the selection of 20 regular papers for oral presentation and 17 short papers for poster sections, which are published in
出版日期Conference proceedings 2006
關(guān)鍵詞NLP; algorithm; algorithms; cognition; computational linguistics; corpus; dialogue; discourse; indexing; info
版次1
doihttps://doi.org/10.1007/11751984
isbn_softcover978-3-540-34045-4
isbn_ebook978-3-540-34046-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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Supply Chain Management with SAP APO?ed. Good experimental results confirmed the adequacy of these techniques to limited-domain tasks. In particular, the reordering algorithm proposed showed impressive improvements by reducing the error rate in excess of 50%.
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Supply Chain Network Managementstinct strategies to generate its outputs and cooperate to create a global result. This approach allows the use of different strategies and the reduction of errors introduced by individual methods. The cooperation among the agents aims to reach better solutions in each step of the processing.
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Modeling and Evaluating Summaries Using Complex Networks that enables easy and fast comparative evaluation of summaries. We evaluate our approach using manually produced summaries and automatic summaries produced by three automatic text summarizers for the Brazilian Portuguese language. The results are in agreement with human intuition and showed to be statistically significant.
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,: An Automatic Portuguese Text Summarizer Through Artificial Neural Networks in a More Biologicallyment of more biologically plausible connectionist architecture and training for automatic summarization is emphasized. The choice relies on the expectation that it may lead to an increase in computational efficiency when compared to the so-called biologically implausible algorithms.
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