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Báo cáo khoa học: "Word or Phrase? Learning Which Unit to Stress for Information Retrieval∗" doc

Báo cáo khoa học:

Báo cáo khoa học: "Word or Phrase? Learning Which Unit to Stress for Information Retrieval∗" doc

... IJCNLP of the AFNLP, pages 1048–1056,Suntec, Singapore, 2-7 August 2009.c2009 ACL and AFNLPWord or Phrase? Learning Which Unit to Stress for Information Retrieval∗Young-In Song†and Jung-Tae ... weightshould be given to the phrase information com-pared to the word information. In this paper, wepropose to differentiate the value of λ in Eq. 3according to the importance of each phrase ... retrieval performances.Usually a phrase score (or probability) is simplycombined with scores of its constituent words byusing a uniform interpolation parameter, which implies that a uniform contribution...
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Báo cáo khoa học: "Word classification based on combined measures of distributional and semantic similarity" docx

... ayes.Step 1: For a new word w, a standard classifierproposes a set of most likely candidate classes; thescore A (c) for each of the classes is remembered.Step 2: A new score S(c) for each class ... use the k near-est neighbors algorithm (KNN): for each testnoun, it first determines a set of k nearest neigh-bors according to the similarity metric and as- Learning Accuracy (Hahn and ... com-bined to calculate a new score for each class c:S(c)= A(c) + EA(d)•TP (c,d)(3)deDwhere A (c) is the score for the class c given bythe classifier4; D is a set of top ranking...
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Báo cáo khoa học: "Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation" doc

... best model summary for a collec-tion of documents. Human annotators construct apyramid to capture important Summarization Con-tent Units (SCUs) and their weights, which is used to evaluate machine ... test for readability.∗∗, ∗, and – indicate significance level >=99%,>=95%, and <95%, respectively.corporated into the metric, we obtain the best results for all correlation scores: ... al-ways correlate better on the initial task than on theupdate task. This suggests that there is much room for improvement for readability metrics, and metricsneed to consider update information...
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Báo cáo khoa học: The ROQUIN family of proteins localizes to stress granules via the ROQ domain and binds target mRNAs pdf

Báo cáo khoa học: The ROQUIN family of proteins localizes to stress granules via the ROQ domain and binds target mRNAs pdf

... TIA-1 and eIF3, to cytoplasmic stress granules – sites of mRNA storage in response to stress. Furthermore, Roquin overexpression induces stress granule formation, as reported for other stress granule ... mRNAtransport, translation, stability or degradation [9]. Reg-ulation of mRNA metabolism has also been shown to be important for attenuating translation of inflamma-tory mediators. For example, ... notcopy-edited or typeset. Technical support issues arisingfrom supporting information (other than missing files)should be addressed to the authors.V. Athanasopoulos et al. Roquin localizes to stress...
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Báo cáo khoa học: "Resolving Translation Ambiguity and Target Polysemy in Cross-Language Information Retrieval" potx

... have to make a context for the target word. In our method, the contextual information is derived from the source word. We collect the frequently accompanying nouns and verbs for each word ... corpus. Those words that co-occur with a given word within a window are selected. The word association strength of a word and its accompanying words is measured by mutual information. For ... That is, POS is used to select English word. In UTT (or ATT) model, we use mutual information to select top 10 accompanying terms of a Chinese query word, and POS is used to obtain the augmented...
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Báo cáo khoa học: "Sentence Ordering Driven by Local and Global Coherence for Summary Generation" docx

... explicitly stated that sentence ordering for summarization is primarily driven by coherence. For example, Barzilay et al. (2002) use lexical cohesion information to model local coherence. A statistical ... grouped before ordering is applied on two levels: group-level and sentence-level. Different algorithms for grouping and ordering are discussed. The preliminary results on single-document news ... Summary sentences are grouped according to their conceptual relatedness before being ordered on two levels: group-level ordering and sentence-level ordering, which capture global coherence and...
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Báo cáo khoa học: "Using a Randomised Controlled Clinical Trial to Evaluate an NLG System" doc

... which are of NLGSmoking Information for Heather StewartYou have good reasons to stop People stop smoking when they really want to stop. It is encouraging thatyou have many good reasons for ... stop if youwere to try, you have several things in your favour.• You have stopped before for more than a month.• You have good reasons for stopping smoking.• You expect support from your ... habitit's bad for youit's expensiveit's bad for others' healthFigure 2: Inside pages of the STOP letter generated from the Figure 1 questionnaire Information for Stopping SmokingDo...
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Báo cáo khoa học: Trypanosoma brucei: a model micro-organism to study eukaryotic phospholipid biosynthesis docx

Báo cáo khoa học: Trypanosoma brucei: a model micro-organism to study eukaryotic phospholipid biosynthesis docx

... anchor for proteins [42], and represents thedonor of the ethanolamine moiety for GPI anchor bio-synthesis [43] and the ethanolamine phosphoglycerolmodification of eukaryotic elongation factor ... been shown to be required for proper function of key mitochondrial enzymes andproteins involved in ATP production via oxidativephosphorylation, as well as for mitochondrial transportsystems ... procyclic-form T. brucei (reviewed in [86]). In fact,it was in T. brucei where, for the first time, the entireGPI biosynthetic pathway leading to the formation ofthe GPI core precursor, ethanolamine-phosphate-Manal-2Manal-6Manal-GlcN-PI...
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Báo cáo khoa học: "An Unsupervised Dynamic Bayesian Network Approach to Measuring Speech Style Accommodation" doc

... represented as At, where t is turn index.Observation Vector: The observation vectors arethe feature vectors oitcomputed for each turn.3.4 Models for AccommodationOur models embody two premises. ... Procedure: For each of the fourmodels we computed an Accommodation Score for each of the Real Pairs and Constructed Pairs.In order to obtain a measure that can be used to compute accommodation for ... Fraw0,Fenv0), and loudness. A 10-bin histogram of fea-ture values was computed for each of these fea-tures, which was then normalized to sum to 1.0.The normalized histogram effectively representsboth...
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Tài liệu Báo cáo khoa học:

Tài liệu Báo cáo khoa học: "Word representations: A simple and general method for semi-supervised learning" doc

... cooccurrencematrix and transform this matrix into a clustering.3.1 Brown clusteringThe Brown algorithm is a hierarchical clusteringalgorithm which clusters words to maximize themutual information of bigrams ... of the wordtoken in the unlabeled data. For NER, Figure 3 (b)shows that most errors occur on rare words, andthat Brown clusters do indeed incur fewer errors for rare words. This supports our ... chosenuniformly from the vocabulary.1 For convenience,1In Collobert and Weston (2008), the middle word in the386we write e(x) to mean e(w1) ⊕ . . . ⊕ e(wn). Wepredict a score s(x) for x...
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