Titlebook: Information Extraction in the Web Era; Natural Language Com Conference proceedings 2003

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Maria Teresa Pazienza,Michele Vindignid Oosterhout, 2008; Marcus, 2012). This view is increasingly recognized by executives such as Paul Polman (CEO of Unilever), voted Sustainable Leader of the Year (Confino, 2014), who noted: “It’s important to make people feel more comfortable working in situations where the win-win is not driven jus

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Dan Moldovan,Mihai Surdeanueries, specifically those located in Texas. Therefore, exploring an empirical evaluation of the impact of SI on the CER (see Appendix 10.1 for a complete list of study variables and data sources) of Texas petroleum refineries by focusing on air pollution from hazardous air pollutants should provide

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Marc Cavazzaeries, specifically those located in Texas. Therefore, exploring an empirical evaluation of the impact of SI on the CER (see Appendix 10.1 for a complete list of study variables and data sources) of Texas petroleum refineries by focusing on air pollution from hazardous air pollutants should provide

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Acquisition of Domain Knowledge well. Typical state-of-the-art Information Extraction systems require syntactic-semantic . for locating facts or events in text; domain-specific word or concept . for semantic generalization; and a specialized . of terms that may not be found in general-purpose dictionaries, among other kinds of kn

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Terminology Mininginology mining method based on linguistic criteria and combined computational methods. In terminology mining, references are made to the acquisition of complex terms, the discovering of new terms, but also, the structuring of the acquired candidate terms. First, the linguistic specifications of term

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