TAGME: on-the-fly annotation of short text fragments (by Wikipedia entities)

We designed and implemented Tagme, a system that is able to efficiently and judiciously augment a plain-text with pertinent hyperlinks to Wikipedia pages. The specialty of Tagme with respect to known systems [5, 8] is that it may annotate texts which are short and poorly composed, such as snippets of search-engine results, tweets, news, etc.. This annotation is extremely informative, so any task that is currently addressed using the bag-of-words paradigm could benefit from using this annotation to draw upon (the millions of) Wikipedia pages and their inter-relations. Categories and Subject Descriptors I.2.7 [Artificial Intelligence]: Natural Language Processing--text analysis; H.3.1 [Information Storage and Retrieval]: Content Analysis and Indexing General Terms Algorithms, Experimentation, Performance.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Paolo Ferragina, Ugo Scaiella
• Keywords: CORR 2010, Education, Indexing General Terms, Pertinent Hyperlinks, Wikipedia Pages