Weight function
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Publications (13)

1Feature Vector Quality and Distributional Similarity2004  Maayan Geffet,Ido Daganwords. The value of each entry is determined by some weight function weight(w,f), which quantifies the degree of statistical...

2Advanced Dynamic Programming in Semiring and Hypergraph Frameworks2008  Guang Xiang(e) ∈ V ∗ is an ordered list of tail vertices. fe is a weight function from RT (e) to R. Note that our deﬁnition diﬀers slightly...

3PhraseBased Evaluation for Machine Translationour metric, ngram, length of a phrase, is the default weight function. However, this function ignores the contexts of a phrase...

4FASIL Email Summarisation Systememail. Figure 3 shows how the quadratic positional weight function γ changes with position, giving less importance to...

5Underspecified Query Refinement via Natural Language Question Generationwhere scoreR(n): R→ [0,1], f (r) represents a weight function associated with each asset r in the confusion set, and...

6Automatic Extraction of Semantic Relations from Specialized CorporaSm(wi,wj) = ZEmax{c i (d,w), cj(d,w)} (4) d w The weight function h(d) defines the desired influence that the distance...

7On the Weak Generative Capacity of Weighted Contextfree Grammars2008  Anders Søgaardand π : P → {mn  m ∈ Z+, n ∈ Z+,m, n 6= 0} a (total) weight function. A leftmost derivation t(ω) for some CFG G = 〈N,T,...

8Taxonomy Learning  Factoring the Structure of a Taxonomy into a Semantic Classification Decision2002  Viktor Pekar,Steffen Staabfrequencies of cooccurrence were weighted by the 1+log weight function. The distributional similarity was measured by means...

9Quantitative and Qualitative Evaluation of the OntoLearn Ontology Learning Systemautomatically learned using a perceptron5 model. The weight function is given by: ) _ 1 ()()1( j jjj patternlength pa...

10Sentiment Translation through MultiEdge Graphsiterations in all experiments. All experiments use the weight function h as described above. We show that this function improves...