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Encyclopedic Knowledge in the Mobile Age

by Book Chapter, Agnes Kukulska-hulme
"... Kukulska-Hulme, Agnes (2008). Encyclopedic knowledge in the mobile age. In: Needham, Gill and ..."
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Kukulska-Hulme, Agnes (2008). Encyclopedic knowledge in the mobile age. In: Needham, Gill and

Wikify!: linking documents to encyclopedic knowledge

by Rada Mihalcea, Andras Csomai - In CIKM ’07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management , 2007
"... This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system ..."
Abstract - Cited by 265 (6 self) - Add to MetaCart
able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations

Summarizing with Encyclopedic Knowledge

by Vivi Nastase, David Milne
"... This paper presents a topic-driven multidocument summarization approach that relies on linking documents to Wikipedia. Wikipedia provides structural support to retrieve relevant concepts from the documents to be summarized, and quantify the strength of the relations between them, thus expanding the ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
This paper presents a topic-driven multidocument summarization approach that relies on linking documents to Wikipedia. Wikipedia provides structural support to retrieve relevant concepts from the documents to be summarized, and quantify the strength of the relations between them, thus expanding the topic. We identify concepts in the documents, and assign them scores that describe their relevance to the topic, their significance in general, and a machine-learned confidence that they should appear in the summary. Sentences are ranked according to the scores of the concepts within them and how much new information they provide. The best are extracted and compressed to form the summary. The system is trained and developed using the DUC 2005 and 2006 data. It was tested on the DUC 2007 data before deploying it on the update summarization task of TAC 2009. It performs 5th (compared to 30 peers) in DUC 2007, and 21st (of 52 peers) on the TAC 2009 update task. 1

Using Encyclopedic Knowledge for Named Entity Disambiguation

by Razvan Bunescu - In EACL , 2006
"... We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure of the knowledge encoded in an online encyclopedia. The resulting model significantly outperforms a less informed baseli ..."
Abstract - Cited by 236 (2 self) - Add to MetaCart
We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure of the knowledge encoded in an online encyclopedia. The resulting model significantly outperforms a less informed

Organizing Encyclopedic Knowledge based on the Web and its

by Application To Question, Atsushi Fujii, Tetsuya Ishikawa - In Proc. of ACL 2001 , 2001
"... We propose a method to generate large-scale encyclopedic knowledge, which is valuable for much NLP research, based on the Web. ..."
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We propose a method to generate large-scale encyclopedic knowledge, which is valuable for much NLP research, based on the Web.

Combining Collocations, Lexical and Encyclopedic Knowledge for Metonymy Resolution

by Vivi Nastase, Michael Strube
"... This paper presents a supervised method for resolving metonymies. We enhance a commonly used feature set with features extracted based on collocation information from corpora, generalized using lexical and encyclopedic knowledge to determine the preferred sense of the potentially metonymic word usin ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
This paper presents a supervised method for resolving metonymies. We enhance a commonly used feature set with features extracted based on collocation information from corpora, generalized using lexical and encyclopedic knowledge to determine the preferred sense of the potentially metonymic word

Leveraging Encyclopedic Knowledge for Transparent and Serendipitous User Profiles

by Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco De Gemmis
"... Abstract. The main contribution of this work1 is the comparison of dif-ferent techniques for representing user preferences extracted by analyzing data gathered from social networks, with the aim of constructing more transparent (human-readable) and serendipitous user profiles. We com-pared two diffe ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
different user models representations: one based on keywords and one exploiting encyclopedic knowledge extracted from Wikipedia. A preliminary evaluation involving 51 Facebook and Twitter users has shown that the use of an encyclopedic-based representation better re-flects user preferences, and helps

Cross-lingual semantic relatedness using encyclopedic knowledge

by Samer Hassan, Rada Mihalcea - In EMNLP 2009. Association for Computational Linguistics , 2009
"... In this paper, we address the task of crosslingual semantic relatedness. We introduce a method that relies on the information extracted from Wikipedia, by exploiting the interlanguage links available between Wikipedia versions in multiple languages. Through experiments performed on several language ..."
Abstract - Cited by 23 (2 self) - Add to MetaCart
In this paper, we address the task of crosslingual semantic relatedness. We introduce a method that relies on the information extracted from Wikipedia, by exploiting the interlanguage links available between Wikipedia versions in multiple languages. Through experiments performed on several language pairs, we show that the method performs well, with a performance comparable to monolingual measures of relatedness. 1

Using Encyclopedic Knowledge for Automatic Topic Identification

by Kino Coursey, Rada Mihalcea, William Moen
"... This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotation ..."
Abstract - Cited by 12 (1 self) - Add to MetaCart
This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human

KNOESPHERE: BUILDING EXPRRT SYSTEMS WITH ENCYCLOPEDIC KNOWLEDGE

by Douglas B. Lcnat, Alan Borning, David Mcdonald, Craig Taylor, Stephen Weyer
"... The Knoesphere project is an attempt to build an expert system that is encyclopedic, in the breadth of coverage of its knowledge base, and in the degree of integration of that knowledge. The primary issue is how to aid users in searching complex bodies of knowledge. Our approach is to frame the syst ..."
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The Knoesphere project is an attempt to build an expert system that is encyclopedic, in the breadth of coverage of its knowledge base, and in the degree of integration of that knowledge. The primary issue is how to aid users in searching complex bodies of knowledge. Our approach is to frame
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