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 AFNLP Word or Phrase? Learning Which Unit to Stress for Information Retrieval ∗ Young-In Song † and Jung-Tae ... weight should be given to the phrase information com- pared to the word information. In this paper, we propose to differentiate the value of λ in Eq. 3 according to...

Ngày tải lên: 30/03/2014, 23:20

... ayes. Step 1: For a new word w, a standard classifier proposes a set of most likely candidate classes; the score 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 test noun, it first determines a set of k nearest neigh- bors according to the similarity metric and as- Learning Accur...

Ngày tải lên: 08/03/2014, 21:20

... best model summary for a collec- tion of documents. Human annotators construct a pyramid 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 correla...

Ngày tải lên: 07/03/2014, 18:20

... 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 ... mRNA transport, translation, stability or degradation [9]. Reg- ulation of mRNA metabolism has also been shown to be important for attenuating translation of inflamma- tory...

Ngày tải lên: 15/03/2014, 11:20

... 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....

Ngày tải lên: 17/03/2014, 07:20

... 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...

Ngày tải lên: 23/03/2014, 16:20

... which are of NLG Smoking Information for Heather Stewart You have good reasons to stop People stop smoking when they really want to stop. It is encouraging that you have many good reasons for ... stop if you were 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 supp...

Ngày tải lên: 23/03/2014, 19:20

... anchor for proteins [42], and represents the donor of the ethanolamine moiety for GPI anchor bio- synthesis [43] and the ethanolamine phosphoglycerol modification of eukaryotic elongation factor ... been shown to be required for proper function of key mitochondrial enzymes and proteins involved in ATP production via oxidative phosphorylation, as well as for mitochondrial transport sy...

Ngày tải lên: 28/03/2014, 23:20

... represented as A t , where t is turn index. Observation Vector: The observation vectors are the feature vectors o i t computed for each turn. 3.4 Models for Accommodation Our models embody two premises. ... Procedure: For each of the four models 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 com...

Ngày tải lên: 31/03/2014, 21:20

... cooccurrence matrix and transform this matrix into a clustering. 3.1 Brown clustering The Brown algorithm is a hierarchical clustering algorithm which clusters words to maximize the mutual information of bigrams ... of the word token in the unlabeled data. For NER, Figure 3 (b) shows that most errors occur on rare words, and that Brown clusters do indeed incur fewer errors for rare...

Ngày tải lên: 20/02/2014, 04:20