Skip to search formSkip to main contentSkip to account menu

Keyword extraction

Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document. Key phrases, key terms, key… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
This paper introduces a new email dataset, consisting of both single and thread emails, manually annotated with summaries and… 
2014
2014
This paper proposes a new method to estimate impression of short sentences considering adjectives. In the proposed system, first… 
2012
2012
The paper presents three machine learning based keyphrase extraction methods that respectively use Decision Trees, Nave Bayes… 
Highly Cited
2011
Highly Cited
2011
We introduce the task of summarizing a stream of short documents on microblogs such as Twitter. On microblogs, thousands of short… 
2009
2009
Spam emails are causing major resource wastage by unnecessarily flooding the network links. Though many anti-spam solutions have… 
2008
2008
This paper discusses linguistically motivated features for enhanced back-of-the-book indexing. 
Highly Cited
2007
Highly Cited
2007
  • D. Recupero
  • 2007
  • Corpus ID: 29383634
Text document clustering provides an effective and intuitive navigation mechanism to organize a large amount of retrieval results… 
2000
2000
This paper presents an algorithm for text summarization using the thematic hierarchy of a text. The algorithm is intended to… 
1998
1998
Links are the key element for changing a text into a hypertext, and yet the WWW provides limited linking facilities. Modeled on… 
Review
1997
Review
1997
Increasing amounts of text, audio, and video content has fueled efforts to provide direct, content based access to these…