Xem 1-20 trên 544 kết quả Ranking
  • Tôi học SEO: Tiếp cận Page Rank và xây dựng Link building Đọc và tìm hiểu nhiều hơn về nội dung và nền tảng site, không ngừng luyện tập kỹ năng SEO nội dung, tôi cho rằng, như thế đã thành công. Nhưng vào một buổi sáng rất đẹp trời, tôi nhận được chỉ thị của SẾP: “Tìm hiểu về link building. cho

    pdf7p sunshine_8 22-07-2013 38 7   Download

  • We obtain lower bounds for Selmer ranks of elliptic curves over dihedral extensions of number fields. Suppose K/k is a quadratic extension of number fields, E is an elliptic curve defined over k, and p is an odd prime. Let K− denote the maximal abelian p-extension of K that is unramified at all primes where E has bad reduction and that is Galois over k with dihedral Galois group (i.e., the generator c of Gal(K/k) acts on Gal(K− /K) by inversion). We prove (under mild hypotheses on p) that if the Zp -rank of the pro-p Selmer group Sp...

    pdf35p noel_noel 17-01-2013 40 6   Download

  • In this paper, we view coreference resolution as a problem of ranking candidate partitions generated by different coreference systems. We propose a set of partition-based features to learn a ranking model for distinguishing good and bad partitions. Our approach compares favorably to two state-of-the-art coreference systems when evaluated on three standard coreference data sets.

    pdf8p bunbo_1 17-04-2013 23 4   Download

  • This paper presents a language-independent probabilistic answer ranking framework for question answering. The framework estimates the probability of an individual answer candidate given the degree of answer relevance and the amount of supporting evidence provided in the set of answer candidates for the question. Our approach was evaluated by comparing the candidate answer sets generated by Chinese and Japanese answer extractors with the re-ranked answer sets produced by the answer ranking framework. ...

    pdf8p hongvang_1 16-04-2013 25 3   Download

  • We extend the original entity-based coherence model (Barzilay and Lapata, 2008) by learning from more fine-grained coherence preferences in training data. We associate multiple ranks with the set of permutations originating from the same source document, as opposed to the original pairwise rankings. We also study the effect of the permutations used in training, and the effect of the coreference component used in entity extraction.

    pdf10p bunthai_1 06-05-2013 35 3   Download

  • Long distance word reordering is a major challenge in statistical machine translation research. Previous work has shown using source syntactic trees is an effective way to tackle this problem between two languages with substantial word order difference. In this work, we further extend this line of exploration and propose a novel but simple approach, which utilizes a ranking model based on word order precedence in the target language to reposition nodes in the syntactic parse tree of a source sentence....

    pdf9p nghetay_1 07-04-2013 21 2   Download

  • We propose to directly measure the importance of queries in the source domain to the target domain where no rank labels of documents are available, which is referred to as query weighting. Query weighting is a key step in ranking model adaptation. As the learning object of ranking algorithms is divided by query instances, we argue that it’s more reasonable to conduct importance weighting at query level than document level.

    pdf11p hongdo_1 12-04-2013 14 2   Download

  • In this paper, we dedicate to the topic of aspect ranking, which aims to automatically identify important product aspects from online consumer reviews. The important aspects are identified according to two observations: (a) the important aspects of a product are usually commented by a large number of consumers; and (b) consumers’ opinions on the important aspects greatly influence their overall opinions on the product.

    pdf10p hongdo_1 12-04-2013 10 2   Download

  • The role of search queries, as available within query sessions or in isolation from one another, in examined in the context of ranking the class labels (e.g., brazilian cities, business centers, hilly sites) extracted from Web documents for various instances (e.g., rio de janeiro). The co-occurrence of a class label and an instance, in the same query or within the same query session, is used to reinforce the estimated relevance of the class label for the instance.

    pdf9p hongdo_1 12-04-2013 16 2   Download

  • Correct stress placement is important in text-to-speech systems, in terms of both the overall accuracy and the naturalness of pronunciation. In this paper, we formulate stress assignment as a sequence prediction problem. We represent words as sequences of substrings, and use the substrings as features in a Support Vector Machine (SVM) ranker, which is trained to rank possible stress patterns. The ranking approach facilitates inclusion of arbitrary features over both the input sequence and output stress pattern. ...

    pdf9p hongphan_1 14-04-2013 20 2   Download

  • We investigate the influence of information status (IS) on constituent order in German, and integrate our findings into a loglinear surface realisation ranking model. We show that the distribution of pairs of IS categories is strongly asymmetric. Moreover, each category is correlated with morphosyntactic features, which can be automatically detected. We build a loglinear model that incorporates these asymmetries for ranking German string realisations from input LFG F-structures.

    pdf9p hongphan_1 14-04-2013 17 2   Download

  • In this paper, we propose a novel ranking framework – Co-Feedback Ranking (CoFRank), which allows two base rankers to supervise each other during the ranking process by providing their own ranking results as feedback to the other parties so as to boost the ranking performance. The mutual ranking refinement process continues until the two base rankers cannot learn from each other any more. The overall performance is improved by the enhancement of the base rankers through the mutual learning mechanism.

    pdf4p hongphan_1 15-04-2013 22 2   Download

  • For each of the sentences in the text, they provided a ranking of how important that sentence is with respect to the content of the text, on an integer scale from 1 (not important) to 7 (very important). The approaches we evaluated are a simple paragraph-based approach that serves as a baseline, two word-based algorithms, and two coherencebased approaches1.

    pdf8p bunbo_1 17-04-2013 21 2   Download

  • This paper presents an innovative unsupervised method for automatic sentence extraction using graphbased ranking algorithms. We evaluate the method in the context of a text summarization task, and show that the results obtained compare favorably with previously published results on established benchmarks.

    pdf4p bunbo_1 17-04-2013 22 2   Download

  • An efficient use of lexical cohesion is described for ranking text units according to their contribution in defining the meaning of a text (textual saliency), their ability to form a cohesive subtext (textual connectivity) and the extent and effectiveness to which they address the different topics which characterize the subject matter of the text (topic aptness).

    pdf7p bunrieu_1 18-04-2013 16 2   Download

  • This brief paper, which is itself an extended abstract for a forthcoming paper, describes a metric that can be easily computed during either b o t t o m - u p or top-down construction of a parse tree for ranking the desirability of alternative parses. In its simplest form, the metric tends to p r e f e r trees in which constituents are pushed as far down a s possible, but by appropriate modification of a c o n s t a n t in the formula other behavior can be obtained also. This paper includes an...

    pdf3p bungio_1 03-05-2013 18 2   Download

  • In this paper, we extend current state-of-theart research on unsupervised acquisition of scripts, that is, stereotypical and frequently observed sequences of events. We design, evaluate and compare different methods for constructing models for script event prediction: given a partial chain of events in a script, predict other events that are likely to belong to the script.

    pdf9p bunthai_1 06-05-2013 26 2   Download

  • Hàm RANK() trong Excel trả về thứ hạng giá trị trong danh sách. Cụ thể, nó là vị trí tương quan giữa một giá trị với các giá trị còn lại trong danh sách. Thực tế nếu bạn dùng thao tác sắp xếp, mặc dù vẫn có thể nhìn thấy giá trị nào đứng cao nhất và thấp nhất nhưng không được trả về thứ hạng cụ thể. Trong ví dụ ở hình dưới, các bạn có thể thấy kết quả của hàm RANK() trong bảng tính....

    pdf6p tokpokimm 24-07-2013 42 2   Download

  • The adoption of Machine Translation technology for commercial applications is hampered by the lack of trust associated with machine-translated output. In this paper, we describe TrustRank, an MT system enhanced with a capability to rank the quality of translation outputs from good to bad. This enables the user to set a quality threshold, granting the user control over the quality of the translations. We quantify the gains we obtain in translation quality, and show that our solution works on a wide variety of domains and language pairs. ...

    pdf10p hongdo_1 12-04-2013 17 1   Download

  • This paper presents collaborative decoding (co-decoding), a new method to improve machine translation accuracy by leveraging translation consensus between multiple machine translation decoders. Different from system combination and MBR decoding, which postprocess the n-best lists or word lattice of machine translation decoders, in our method multiple machine translation decoders collaborate by exchanging partial translation results.

    pdf8p hongphan_1 14-04-2013 25 1   Download


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