In this paper, we address the keyphrase extraction problem as sequence labeling and
propose a model that jointly exploits the complementary strengths of Conditional Random …

Keyphrases that efficiently summarize a document's content are used in various document
processing and retrieval tasks. Current state-of-the-art techniques for keyphrase extraction …

With the development of Internet technology, the phenomenon of information overload is
becoming more and more obvious. It takes a lot of time for users to obtain the information …

[Objective] This paper reviews the methods, features and evaluation procedures of keyword
extraction research, aiming to provide reference for future studies.[Coverage] We searched …

Keyphrases associated with research papers provide an effective way to find useful
information in the large and growing scholarly digital collections. However, keyphrases are …

The content and structure of the news text are relatively complex and cannot effectively
capture the core content. Existing supervision models cannot achieve good results in areas …

The graph-based approach has proven to be the most effective method of extracting
keyphrases. Existing graph-based extraction methods do not include nouns as a …

Research is one activity that has to be conducted by lecturers or researchers. In fact, they
usually deliver articles regarding the research that has been conducted. Scientific articles …

Keyphrases efficiently summarize a document's content and are used in various document
processing and retrieval tasks. Several unsupervised techniques and classifiers exist for …

Currently, there is no domain dictionary in the field of electric vehicles disassembly and
other domain dictionary construction algorithms do not accurately extract terminology from …