Báo cáo khoa học: "A Trainable Rule-based Algorithm for Word Segmentation" pdf

... electrode. For starch extraction, pellets for ethanol extraction were solubilized by heating them to 95 °Cin0.5m NaOH for 30 min. After acidification with 1 m CH 3 COOH, the suspension was digested for ... pattern search method for bound constrained gloabal optimiza- tion. J Glob Optim 39 , 197–219. 34 Schmidt H & Jirstrand M (2006) Systems Biology Tool- box for MATLAB: a compu...

Ngày tải lên: 14/02/2014, 22:20

... target for prey capture. However, the genetic information for ÔunderdevelopedÕ a-conotoxins targeting other nAChR subtypes might still be present in the snails and could supply novel ligands for ... indicating that at least two other subunits are required for effective channel formation. In Correspondence to A. Nicke, Max Planck-Institute for Brain Research, Deutschordenstr. 46, D-6...

Ngày tải lên: 19/02/2014, 12:20

... Association for Computational Linguistics, pages 912–920, Jeju, Republic of Korea, 8-14 July 2012. c 2012 Association for Computational Linguistics A Ranking-based Approach to Word Reordering for Statistical ... the paper. 2 Word Reordering as Syntax Tree Node Ranking Given a source side parse tree T e , the task of word reordering is to transform T e to T  e , so that e  can m...

Ngày tải lên: 19/02/2014, 19:20

... tree T , (ii) the level assignment z for all words, (iii) the path assignments c for all sen- tences conditioned on the observed words w. Given the assignment of words w to levels z and assignments ... paper, we formulate ex- tractive summarization as a two step learn- ing problem building a generative model for pattern discovery and a regression model for inference. We calculate scor...

Ngày tải lên: 20/02/2014, 04:20

... relevant to the target concerned. Therefore, we argue that existing information representation i.e. bag-of -word, cannot satisfy the information needs for opinion retrieval. In this paper, ... Therefore, in this paper we regard the information needs for opinion retrieval as relevant opinion. 2.2 Motivation of Our Approach In traditional information retrieval (IR) bag-of -word...

Ngày tải lên: 20/02/2014, 04:20

... re-ranking model performs rather well for a limited number of candidate structures, and out- performs Charniak’s model when k = 5. In this case we observe a small boost in performance for the detection ... event of filling B with a content word (cw), given the content word of the governing block, the cate- gories (cats) and functional words (f w) of B, and further information about the...

Ngày tải lên: 20/02/2014, 04:20

... can explore in an uniform way both new information nuggets and validated back- ground information nuggets interactively. Fig. 1 summarizes the main components and the informa- tion flow. Figure ... has a vague idea of the informa- tion in question or just wants to explore the infor- mation space, the current search engine paradigm does not provide enough assistance for these kind of searches...

Ngày tải lên: 20/02/2014, 05:20

... does not use word boundary, or Korean, which is normally segmented into Eojeols, not into words or morphemes. The previous algorithms for spelling error cor- rection basically use a word dictionary. ... word dictionary and takes long time for searching many character combinations. 61 We propose a new algorithm which can correct both word spacing error and spelling error si...

Ngày tải lên: 20/02/2014, 12:20

... another. Therefore, one can easily draw the analogy between an acoustic token in bag-of-sounds and a word in bag-of-words . Unlike words in a text document, the phonotactic information that ... to extract informative features for docu- ment representation. The bag-of-words paradigm represents a document as a vector of counts. It is believed that it is not just the words, but...

Ngày tải lên: 20/02/2014, 15:20

... length. Single source and target words are denoted by and respectively, where and . We will also use a special single -word block set which contains only blocks for which . For the experiments in this ... parameter . For the algorithm to converge, one should pick a decreasing learning rate. In practice, how- ever, it is often more convenient to select a fixed for all . This leads to...

Ngày tải lên: 20/02/2014, 15:20