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104
Voted
ACL
2010
14 years 10 months ago
Detecting Errors in Automatically-Parsed Dependency Relations
We outline different methods to detect errors in automatically-parsed dependency corpora, by comparing so-called dependency rules to their representation in the training data and ...
Markus Dickinson
95
Voted
NAACL
2010
14 years 10 months ago
An extractive supervised two-stage method for sentence compression
We present a new method that compresses sentences by removing words. In a first stage, it generates candidate compressions by removing branches from the source sentence's dep...
Dimitrios Galanis, Ion Androutsopoulos
96
Voted
ACL
2009
14 years 10 months ago
A Syntactic and Lexical-Based Discourse Segmenter
We present a syntactic and lexically based discourse segmenter (SLSeg) that is designed to avoid the common problem of over-segmenting text. Segmentation is the first step in a di...
Milan Tofiloski, Julian Brooke, Maite Taboada
99
Voted
ACL
2012
13 years 3 months ago
Extracting and modeling durations for habits and events from Twitter
We seek to automatically estimate typical durations for events and habits described in Twitter tweets. A corpus of more than 14 million tweets containing temporal duration informa...
Jennifer Williams, Graham Katz
CLUSTER
2005
IEEE
15 years 6 months ago
Fast Query Processing by Distributing an Index over CPU Caches
Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree str...
Xiaoqin Ma, Gene Cooperman