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ICML
2007
IEEE
14 years 8 months ago
Fast and effective kernels for relational learning from texts
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
Alessandro Moschitti, Fabio Massimo Zanzotto
ACL
1998
13 years 9 months ago
Automatically Creating Bilingual Lexicons for Machine Translation from Bilingual Text
A method is presented for automatically augmenting the bilingual lexicon of an existing Machine Translation system, by extracting bilingual entries from aligned bilingual text. Th...
Davide Turcato
LREC
2010
189views Education» more  LREC 2010»
13 years 9 months ago
Automatic Summarization Using Terminological and Semantic Resources
In this paper we present a new algorithm for automatic summarization of specialized texts combining terminological and semantic resources: a term extractor and an ontology. The te...
Jorge Vivaldi, Iria da Cunha, Juan Manuel Torres M...
ACL
2011
12 years 11 months ago
Automatically Evaluating Text Coherence Using Discourse Relations
We present a novel model to represent and assess the discourse coherence of text. Our model assumes that coherent text implicitly favors certain types of discourse relation transi...
Ziheng Lin, Hwee Tou Ng, Min-Yen Kan
ACL
2006
13 years 9 months ago
Models for Sentence Compression: A Comparison across Domains, Training Requirements and Evaluation Measures
Sentence compression is the task of producing a summary at the sentence level. This paper focuses on three aspects of this task which have not received detailed treatment in the l...
James Clarke, Mirella Lapata