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ACL
2010
13 years 6 months ago
Automatically Generating Term Frequency Induced Taxonomies
We propose a novel method to automatically acquire a term-frequency-based taxonomy from a corpus using an unsupervised method. A term-frequency-based taxonomy is useful for applic...
Karin Murthy, Tanveer A. Faruquie, L. Venkata Subr...
ICAIL
2007
ACM
14 years 22 days ago
NLP-based Ontology Learning from Legal Texts. A Case Study
The paper reports on the methodology and preliminary results of a case study in automatically extracting ontological knowledge from Italian legislative texts in the environmental d...
Alessandro Lenci, Simonetta Montemagni, Vito Pirre...
LREC
2010
129views Education» more  LREC 2010»
13 years 10 months ago
Mining Wikipedia for Large-scale Repositories of Context-Sensitive Entailment Rules
This paper focuses on the central role played by lexical information in the task of Recognizing Textual Entailment. In particular, the usefulness of lexical knowledge extracted fr...
Milen Kouylekov, Yashar Mehdad, Matteo Negri
SEMWEB
2010
Springer
13 years 6 months ago
Enhancing the Open-Domain Classification of Named Entity Using Linked Open Data
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
Yuan Ni, Lei Zhang, Zhaoming Qiu, Chen Wang
LREC
2010
145views Education» more  LREC 2010»
13 years 10 months ago
Generic Ontology Learners on Application Domains
In ontology learning from texts, we have ontology-rich domains where we have large structured domain knowledge repositories or we have large general corpora with large general str...
Francesca Fallucchi, Maria Teresa Pazienza, Fabio ...