Large herbivores are, and have for a long time been, among the major
drivers for forming the shape and function of terrestrial ecosystems. These
animals may modify primary production, nutrient cycles, soil properties,
fire regimes as well as other biota. Some large herbivore species/populations
are at the edge of extinction and great effort is being made to save
them. Other species/populations are under discussion for reintroduction.
Still other species occur in dense populations and cause conflicts with
other land use interests.
This paper presents a MapReduce algorithm for computing pairwise document similarity in large document collections. MapReduce is an attractive framework because it allows us to decompose the inner products involved in computing document similarity into separate multiplication and summation stages in a way that is well matched to efﬁcient disk access patterns across several machines. On a collection consisting of approximately 900,000 newswire articles, our algorithm exhibits linear growth in running time and space in terms of the number of documents. ...
Bài giảng "Small Intestine, Large Intestine Superior Mensenteric Artery and Inferior Mensenteric Artery" cung cấp cho sinh viên các kiến thức giúp sinh viên hiểu được phân đoạn của ruột non và ruột già; mô tả được đặc điểm cấu tạo của ruột non, ruột già; trình bày nguyên ủy, nhánh bên của ĐM MTTT và ĐM MTTD. Mời các bạn cùng tham khảo.
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence syntactic structure, and long-span document semantic content under a directed Markov random ﬁeld paradigm.
Cross-document coreference, the task of grouping all the mentions of each entity in a document collection, arises in information extraction and automated knowledge base construction. For large collections, it is clearly impractical to consider all possible groupings of mentions into distinct entities.
Word processors or computers used in Japan employ Japanese input method through keyboard stroke combined with Kana (phonetic) character to Kanji (ideographic, Chinese) character conversion technology. The key factor of Kana-to-Kanji conversion technology is how to raise the accuracy of the conversion through the homophone processing, since we have so many homophonic Kanjis. In this paper, we report the results of our Kana-to-Kanji conversion experiments which embody the homophone processing based on large scale collocation data. ...
Study of the effect of Nd substitution for La on magnetocaloric effect (MCE) of polycrystalline perovskites (La1-xNdx)0.7Sr0.3MnO3 (x = 0.0, 0.2 , 0.4, 0.6, 0.8, 1.0 ) is presented. Large MCE is observed in all samples. The presence of Nd affects to both maximum magnetic entropy change, |∆Sm|max, and Curie temperature, TC. |∆Sm|max slightly reduces with low content and increases with high content of Nd and gets maximum value of 4.83 J/kg.K for x = 0.8. TC of the samples determined from the
We present CS NIPER (Corpus Sniper), a tool that implements (i) a web-based multiuser scenario for identifying and annotating non-canonical grammatical constructions in large corpora based on linguistic queries and (ii) evaluation of annotation quality by measuring inter-rater agreement.
We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based features. We also propose several statistical methods for selecting clusters at an appropriate level of granularity. When training on different sizes of data, our semi-supervised approach consistently outperformed a state-of-the-art supervised baseline system.
This paper describes the ﬁrst system for large-scale acquisition of subcategorization frames (SCFs) from English corpus data which can be used to acquire comprehensive lexicons for verbs, nouns and adjectives. The system incorporates an extensive rulebased classiﬁer which identiﬁes 168 verbal, 37 adjectival and 31 nominal frames from grammatical relations (GRs) output by a robust parser. The system achieves state-ofthe-art performance on all three sets.
We describe an original method that automatically ﬁnds speciﬁc topics in a large collection of texts. Each topic is ﬁrst identiﬁed as a speciﬁc cluster of texts and then represented as a virtual concept, which is a weighted mixture of words. Our intention is to employ these virtual concepts in document indexing. In this paper we show some preliminary experimental results and discuss directions of future work.
This paper describes a spoken dialog QA system as a substitution for call centers. The system is capable of making dialogs for both ﬁxing speech recognition errors and for clarifying vague questions, based on only large text knowledge base. We introduce two measures to make dialogs for ﬁxing recognition errors. An experimental evaluation shows the advantages of these measures.
A lexicon is an essential component in a generation system but few efforts have been made to build a rich, large-scale lexicon and make it reusable for different generation applications. In this paper, we describe our work to build such a lexicon by combining multiple, heterogeneous linguistic resources which have been developed for other purposes. Novel transformation and integration of resources is required to reuse them for generation.
Knowledge acquisition is a serious bottleneck for natural language understanding systems. For this reason, large-scale linguistic resources have been compiled and made available by organizations such as the Linguistic Data Consortium (Comlex) and Princeton University (WordNet). Systems making use of these resources can greatly accelerate the development process by avoiding the need for the developer to re-create this information. In this paper we describe how we integrated these large scale linguistic resources into our natural language understanding system. ...
Hearst states that she tried to apply this strategy to the part-of relation, but failed. We comment later on We present a method for extracting parts of objects the differences in our approach that we believe were from wholes (e.g. "speedometer" from "car"). Given most important to our comparative success. a very large corpus our method finds part words with Looking more widely still, there is an ever55% accuracy for the top 50 words as ranked by the growing literature on the use of statistical/corpussystem. ...
This unique book offers a vendor-neutral approach for designing large local area networks according to business or organizational needs, rather than from a product perspective. Author and independent network design consultant Kevin Dooley outlines "top-down network design" for building a technological infrastructure to fit your organization's requirements, a process far more effective and cost-efficient than fitting the organization to the parameters of a shrink-wrapped proprietary solution.
The aim of this paper is to show how large-scale (computational) grammars of natural language benefit from an organization of semantics which is based on Minimal Recursion Semantics (MRS; Copestake et al. (1999)). This we are doing by providing an account of valence alternations in German based on MRS, showing how such an account makes a computational grammar more efficient and less complicated for the grammar writer.
In this paper, we present a supervised learning approach to training submodular scoring functions for extractive multidocument summarization. By taking a structured prediction approach, we provide a large-margin method that directly optimizes a convex relaxation of the desired performance measure.
We present U BY, a large-scale lexicalsemantic resource combining a wide range of information from expert-constructed and collaboratively constructed resources for English and German. It currently contains nine resources in two languages: English WordNet, Wiktionary, Wikipedia, FrameNet and VerbNet, German Wikipedia, Wiktionary and GermaNet, and multilingual OmegaWiki modeled according to the LMF standard. For FrameNet, VerbNet and all collaboratively constructed resources, this is done for the ﬁrst time.
Bài giảng “Hepatitis B Reactivation: A Largely Preventable Problem” giới thiệu tới người đọc các kiến thức: Users are encouraged to use these slides in their own noncommercial presentations, but we ask that content and attribution not be changed. Users are asked to honor this intent; these slides may not be published or posted online without permission from Clinical Care Options. Mời các bạn cùng tham khảo nội dung chi tiết.