[PDF][PDF] A survey of text summarization extractive techniques
Text Summarization is condensing the source text into a shorter version preserving its
information content and overall meaning. It is very difficult for human beings to manually …
information content and overall meaning. It is very difficult for human beings to manually …
Impact analysis of keyword extraction using contextual word embedding
A document's keywords provide high-level descriptions of the content that summarize the
document's central themes, concepts, ideas, or arguments. These descriptive phrases make …
document's central themes, concepts, ideas, or arguments. These descriptive phrases make …
Using wikipedia and conceptual graph structures to generate questions for academic writing support
In this paper, we present a novel approach for semiautomatic question generation to support
academic writing. Our system first extracts key phrases from students' literature review …
academic writing. Our system first extracts key phrases from students' literature review …
[PDF][PDF] Effective approaches for extraction of keywords
• Other approaches: Other approaches about keyword extraction mainly combines the
methods mentioned above or use some heuristic knowledge in the task of keyword …
methods mentioned above or use some heuristic knowledge in the task of keyword …
A keyphrase-based paper recommender system
Current digital libraries suffer from the information overload problem which prevents an
effective access to knowledge. This is particularly true for scientific digital libraries where a …
effective access to knowledge. This is particularly true for scientific digital libraries where a …
How preprocessing affects unsupervised keyphrase extraction
Unsupervised keyphrase extraction techniques generally consist of candidate phrase
selection and ranking techniques. Previous studies treat the candidate phrase selection and …
selection and ranking techniques. Previous studies treat the candidate phrase selection and …
[PDF][PDF] Approximate matching for evaluating keyphrase extraction
We propose a new evaluation strategy for keyphrase extraction based on approximate
keyphrase matching. It corresponds well with human judgments and is better suited to …
keyphrase matching. It corresponds well with human judgments and is better suited to …
Automatic keyphrase extraction and ontology mining for content‐based tag recommendation
Collaborative tagging represents for the Web a potential way for organizing and sharing
information and for heightening the capabilities of existing search engines. However …
information and for heightening the capabilities of existing search engines. However …
DL-VSM based document indexing approach for information retrieval
Textual information is constantly increasing. With this accumulation of documents, the
satisfaction of user needs becomes more and more complex. For that, several information …
satisfaction of user needs becomes more and more complex. For that, several information …
Category classification and topic discovery of japanese and english news articles
This paper presents algorithms for topic analysis of news articles. Topic analysis entails
category classification and topic discovery and classification. Dealing with news has special …
category classification and topic discovery and classification. Dealing with news has special …