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» Goal-Driven Answer Extraction
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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 6 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
COLING
2002
15 years 3 months ago
Efficient Support Vector Classifiers for Named Entity Recognition
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
Hideki Isozaki, Hideto Kazawa
AI
2005
Springer
15 years 3 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
SIGMOD
2010
ACM
201views Database» more  SIGMOD 2010»
15 years 3 months ago
I4E: interactive investigation of iterative information extraction
Information extraction systems are increasingly being used to mine structured information from unstructured text documents. A commonly used unsupervised technique is to build iter...
Anish Das Sarma, Alpa Jain, Divesh Srivastava
LREC
2008
115views Education» more  LREC 2008»
15 years 5 months ago
Evaluating Robustness Of A QA System Through A Corpus Of Real-Life Questions
This paper presents the sequential evaluation of the question answering system SQuaLIA. This system is based on the same sequential process as most statistical question answering ...
Laurianne Sitbon, Patrice Bellot, Philippe Blache