With the advent of Web 2.0, there exist many online platforms that results in massive textual
data production such as social networks, online blogs, magazines etc. This textual data …

The Semeval task 5 was an opportunity for experimenting with the key term extraction
module of GROBID, a system for extracting and generating bibliographical information from …

In this paper, we present a supervised framework for automatic keyword extraction from
single document. We model the text as complex network, and construct the feature set by …

This technical note presents the system built for the IP track of CLEF 2010 based on
PATATRAS (PATent and Article Tracking, Retrieval and AnalysiS), the modular search …

Purpose. This work addresses an escalating problem within the realm of scientific
publishing, that stems from accelerated publication rates of article formats difficult to process …

Keyphrases are the most important phrases of documents that make them suitable for
improving natural language processing tasks, including information retrieval, document …

Keyphrases provide a concise summary of a document and play an important role for many
other tasks like searching and clustering. With the large and increasing amount of online …

Existing cataloging interfaces are designed to reduce the bottleneck of creating, editing, and
refining bibliographic records by offering a convenient framework for data entry. However …

Аннотация Извлечение терминов является важным этапом автоматизированного
построения систем знаний на основе естественно-языковых текстов, поскольку …

Term extraction is an important stage in the automated construction of knowledge systems
based on natural language texts, since it provides the formation of a basic concept system …