In this paper, we automatically extract statistical terms and build their co-occurrence networks from newspapers. Statistical terms are expression of the measurements of statistics to watch the movements of phenomena; birth rates, public approval rating of the Cabinet and so on. In recent years, we have a vast amount of available information because of computerization and the technologies of ma...

This paper discusses two new procedures for extracting verb valences from raw texts, with an application to the Polish language. The first novel technique, the EM selection algorithm, performs unsupervised disambiguation of valence frame forests, obtained by applying a non-probabilistic deep grammar parser and some post-processing to the text. The second new idea concerns filtering of incorrect...

Scholarly publications are made available online by individual researchers on their home pages. The list of publications reflects the research work carried by individuals collaborating with one or more other researchers. Automatic extraction of author’s name from the list of publications is required to construct a co-authorship network for identification of prominent authors. This will aid the ...

A corpus-based method was developed for automatic extraction of the F0 contour generation process model parameters (phrase and accent commands). The method first smoothes the observed F0 contour by a piecewise 3rd order polynomial function and finds points of inflection. Then several parameters related to the points are used as input parameters for the predictor of the model commands. Finally t...

In linear text classification, user feedback is usually used to tune up the representative keywords (RK) for a certain class. Despite some algorithms (e.g. Rocchio) deal well with user positive and negative feedback to adjust the RKs, few researches have investigated how to adjust RKs only based on a small positive responses which is a popular case in the real-world application (e.g. users tend...

Extracting sentiment and topic lexicons is important for opinion mining. Previous works have showed that supervised learning methods are superior for this task. However, the performance of supervised methods highly relies on manually labeled training data. In this paper, we propose a domain adaptation framework for sentimentand topiclexicon co-extraction in a domain of interest where we do not ...

In molecular biology there is much interest in various types of relationships between genes. Due to the complexity and rapid development of this field, much of this knowledge exists only in free-text form. A database of relationships between genes may allow background knowledge to be used in computerised analyses. As far as we know, no comprehensive manually cured database of this kind exists, ...

the solvent extraction of gallium from a concentrated jajarm bayer process liquor containing 164.90 g/l of na2o, 86.70 g/l of al2o3 and 106.02 ppm of gallium was investigated using 10 vol.% kelex100, a 7-alkyl substituted-8 hydroxyquinoline as an extractant, 10 vol.% etanol as a modifier and kerosene as a diluent. at (vo :va = 1.0:1.0) organic to aqueous phase ratio and at room temperature, 93....

Arthrospira platensis biomass was used in order to obtain functional lipophilic compounds through green extraction technologies such as supercritical carbon dioxide fluid extraction (SFE) and microwave-assisted extraction (MAE). The temperature (T) factor was evaluated for MAE, while for SFE, pressure (P), temperature (T), and co-solvent (ethanol) (CS) were evaluated. The maximum extraction yie...

The extraction behavior of several divalent metal cations (M(2+)) in ionic liquid chelate extraction systems was investigated using several 1-alkyl-3-methylimidazolium bis(trifluoromethanesulfonyl)imide ionic liquids ([Rmim][Tf(2)N]) as extraction solvent and thenoyltrifluoroacetone (Htta) as extractant. The behavior was compared with that using less hydrophobic 1-alkyl-3-methylimidazolium hexa...