Part-of-speech labeling for Reuters database

Cretulescu, Radu George; David, Amos; Morariu, Daniel; Vintan, Lucian

doi:10.1109/icstcc.2015.7321279

Cited by 3 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For this purpose, using the Brown Corpus we have evaluated several known tagging (labeling the part of speech) applications and also some tagging applications which were developed by us [3], in order to find the best suited tagging application / applications for labeling the documents. The entire experiment for the Tagger selection was explained in our article published in [4].…”

Section: Tagging the Reuters Datasetmentioning

confidence: 99%

See 1 more Smart Citation

An Extension of the VSM Documents Representation

Vintan

Morariu

Cretulescu

et al. 2017

INT J COMPUT COMMUN

View full text Add to dashboard Cite

In this paper we will present a new approach regarding the documents representation in order to be used in classification and/or clustering algorithms. In our new representation we will start from the classical "bag-of-words" representation but we will augment each word with its correspondent part-of-speech. Thus we will introduce a new concept called hyper-vectors where each document is represented in a hyper-space where each dimension is a different part-of-speech component. For each dimension the document is represented using the Vector Space Model (VSM). In this work we will use only five different parts of speech: noun, verb, adverb, adjective and others. In the hyper-space each dimension has a different weight. To compute the similarity between two documents we have developed a new hyper-cosine formula. Some interesting classification experiments are presented as validation cases.

show abstract

Section: Tagging the Reuters Datasetmentioning

confidence: 99%

“…In [4] we have performed a number of experiments for selecting the "best" tagger in order to tag the Reuters dataset. Analyzing the obtained results we have decided to use, in the first experiments, only the Tree Tagger tool [11].…”

Section: Tagging the Reuters Datasetmentioning

confidence: 99%