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Document Summarization is a technique of conveying important information in a given document. It is one of the most important chores of Natural Language Processing as the summary produced is helpful for information retrieval systems, question answering systems, medical domain and news domain etc. Most of the summarization works in Indian languages are of extractive nature and not much work is oriented...
Adverbs are one of the main aspects of grammar in almost all the languages as they play a vital role in formation of a sentence. The identification and extraction of Multi Word Expressions (MWEs) in Hindi is done by various researchers but this new category of adverbs in Hindi MWEs is not known so far. A lot of research is going on adverbs in many other languages but in Hindi MWEs, adverbs have not...
Decision making has become a core research area in different fields such as evaluation, engineering, medicine, etc. Usually, decision making problems are defined in contexts with vague and imprecise information. The use of linguistic modeling has provided successful results in decision making problems. However, most of the linguistic approaches are limited, because they restrict the elicitation of...
The on-going project aiming at the creation of the National Corpus of Polish assumes several levels of linguistic annotation. We present the technical environment and methodological background developed for the three upper annotation levels: the level of syntactic words and groups, and the level of named entities. We show how knowledge-based platforms Spejd and Sprout are used for the automatic pre-annotation...
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