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As a newly shopping tool, electronic commerce has been drawing more and more attention of researchers. According to the characteristics of comments diversity, it is necessary to extract evaluation object which is an important component of sentiment information. This paper explores Conditional Random Field (CRF) to do evaluation objects extraction. After observing generally used features in sentiment...
Natural language processing requires a lot of analysis and information regarding words and segment of sentence. Almost all NLP applications such as machine translation, information extraction, automatic summarization, question answering system, natural language generation, etc., require successful identification and resolution of anaphora. Information regarding word using POS tagger, parser and other...
Annotation is a tedious and time consuming process. Natural language processing requires a lot of analysis and information regarding words and segment of sentence. Information regarding word using POS tagger, parser and other tool can be gathered, but still due to scarcity of language resources annotation of genre is required for further studies. In this working paper we propose a semiautomatic method...
The paper presents an approach to semi-automatic verb valency frame extraction from the Croatian Dependency Treebank. Our algorithm extracted 1923 verb valency frames for 594 different verbs. We discuss applicability of our method to semi-automatic verb valency lexicon creation and refinement, along with possibilities of utilizing it in the task of parsing Croatian texts.
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