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» Unsupervised Relation Extraction From Web Documents
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NIPS
2007
13 years 9 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
IRI
2007
IEEE
14 years 2 months ago
Acronym-Expansion Recognition and Ranking on the Web
The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
Alpa Jain, Silviu Cucerzan, Saliha Azzam
ESWS
2008
Springer
13 years 9 months ago
Contextual and Metadata-based Approach for the Semantic Annotation of Heterogeneous Documents
We present SHIRI-Annot an automatic ontology-driven and unsupervised approach for the semantic annotation of documents which contain well structured parts and not well structured o...
Mouhamadou Thiam, Nathalie Pernelle, Nacéra...
EMNLP
2009
13 years 5 months ago
Human-competitive tagging using automatic keyphrase extraction
This paper connects two research areas: automatic tagging on the web and statistical keyphrase extraction. First, we analyze the quality of tags in a collaboratively created folks...
Olena Medelyan, Eibe Frank, Ian H. Witten
ELPUB
2008
ACM
13 years 9 months ago
Web Topic Summarization
In this paper, we present our online summarization system of web topics. The user defines the topic by a set of keywords. Then the system searches the Web for the relevant documen...
Josef Steinberger, Karel Jezek, Martin Sloup