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ACL
2006
15 years 1 months ago
Automatic Learning of Textual Entailments with Cross-Pair Similarities
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
Fabio Massimo Zanzotto, Alessandro Moschitti
ACL
2000
15 years 1 months ago
Headline Generation Based on Statistical Translation
Extractive summarization techniques cannot generate document summaries shorter than a single sentence, something that is often required. An ideal summarization system would unders...
Michele Banko, Vibhu O. Mittal, Michael J. Witbroc...
ESWA
2006
122views more  ESWA 2006»
14 years 12 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
LLL
1999
Springer
15 years 4 months ago
Learning to Lemmatise Slovene Words
Abstract. Automatic lemmatisation is a core application for many language processing tasks. In inflectionally rich languages, such as Slovene, assigning the correct lemma to each ...
Saso Dzeroski, Tomaz Erjavec
SIGMOD
2011
ACM
242views Database» more  SIGMOD 2011»
14 years 2 months ago
The SystemT IDE: an integrated development environment for information extraction rules
Information Extraction (IE) — the problem of extracting structured information from unstructured text — has become the key enabler for many enterprise applications such as sem...
Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thil...