… In order to do so properly, in this paper, the notion of nterm co-occurrences will be
introduced and distinguished from the related concepts of n-grams and higher-order co-occurrences. …

… expansion purposes, n-term co-occurrences might be an … what a typical distribution of n-term
co-occurrences looks like? In … The n-term cooccurrences must have appeared at least twice …

… on statistics of word co-occurrences within the corpus, which … to N-term topic models (NTM)
by replacing biterm with N-term … all the N words in a N-term belong to a single topic becomes …

… [18] show that higher-order co-occurrences, used by LSI and our … Given an m × n term-document
matrix A, we generate a … The reduced l × n term-document matrix A is used to generate …

… As 2-term co-occurrences can be used for query expansion purposes, n-term co-occurrences …
, it is sensible to find out what a typical distribution of n-term co-occurrences looks like? …

… We consider a collection of n term occurrences W. Each term occurrence is an instance
of exactly one term t in T = {t1,...tm}, and can be found in exactly one source document d in a …

… Term co-occurrences within entire documents are … Constructing the HAL space for an n-term
vocabulary involves … ,c_{in}\) are the number of co-occurrences of the term \(w_i\) with all …

… select the top N term-chains in … Co-occurrences is affected by the value of the threshold 0:.
Figure 3 shows that, with the threshold 0: increases, the total number of Word Co occurrences …

… their semantic similarity we will compare the co-occurrences of the terms with all other terms.
… Thus, consider a set of n term occurrences W each being an instance of a term t in T = {t1,...…

… In order to avoid data sparseness problems, co-occurrences and separation values are
primarily calculated on part-of-speech tags. However, word co-occurrences will be used to pre…