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» Learning with Annotation Noise
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TSD
2000
Springer
15 years 7 months ago
Automatic Functor Assignment in the Prague Dependency Treebank
The aim of this paper is to describe and evaluate a system that automates a part of the transition from analytical to tectogrammatical tree structures within the Prague Dependency...
Zdenek Zabokrtský
ICAIL
2009
ACM
15 years 10 months ago
Creating an argumentation corpus: do theories apply to real arguments?: a case study on the legal argumentation of the ECHR
Argumentation annotation is a crucial step in applying machine learning techniques to the argumentation field. However, there exist few argumentation corpora and their developmen...
Raquel Mochales Palau, Aagje Ieven
116
Voted
ICWSM
2009
15 years 1 months ago
Regression-Based Summarization of Email Conversations
In this paper we present a regression-based machine learning approach to email thread summarization. The regression model is able to take advantage of multiple gold-standard annot...
Jan Ulrich, Giuseppe Carenini, Gabriel Murray, Ray...
AAAI
2008
15 years 6 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
WWW
2009
ACM
16 years 4 months ago
Tag-oriented document summarization
Social annotations on a Web document are highly generalized description of topics contained in that page. Their tagged frequency indicates the user attentions with various degrees...
Junyan Zhu, Can Wang, Xiaofei He, Jiajun Bu, Chun ...