Aidan Finn Nicholas Kushmerick Smart Media Institute, Computer Science...  Home/Search
Context
Related
| aidanf.net/publicatio...atem03finn.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: aidanf.net/pubs (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: The need for labeled documents is a key bottleneck in adaptive information extraction. One way to solve this problem is through active learning algorithms that require users to label only the most informative documents. We investigate several document selection strategies that are particularly relevant to information extraction. We show that some strategies are biased toward recall, while others are biased toward precision, but it is difficult to ensure both high recall and precision. We also... (Update)
Similar documents (at the sentence level):
5.4%: Active Learning Selection Strategies for Information Extraction - Finn, Kushmerick (2003) (Correct)
Active bibliography (related documents): More All
0.1: Automatic Semantic Annotation using Unsupervised.. - Dingli, Ciravegna, Wilks (2000) (Correct)
0.1: Integrating Information to Bootstrap Information.. - Ciravegna, Dingli.. (2003) (Correct)
0.1: Optimal Nonmyopic Value of Information in Graphical Models -- - Efficient Algorithms And (2005) (Correct)
Similar documents based on text:
0.7: Multi-level Boundary Classification for Information - Extraction Aidan Finn (2004) (Correct)
0.0: A Low-Latency Routing Protocol for Wireless Sensor Networks - Ruzzelli, Tynan, O'Hare (Correct)
BibTeX entry: (Update)
@misc{ nicholas-active,
author = "Aidan Finn Nicholas",
title = "Active Learning Selection Strategies for Information Extraction",
url = "citeseer.ist.psu.edu/733683.html" }
Citations (may not include all citations):91 Improving generalization with active learning - Cohn, Atlas et al. - 1994
75 Heterogeneous uncertainty sampling for supervised learning - Lewis, Catlett - 1994
70 Relational learning of patternmatch rules for information ex.. - Califf, Mooney - 1999
46 Adaptive information extraction from text by rule induction .. (context) - Ciravegna - 2001
46 Machine Learning for Information Extraction in Informal Doma.. - Freitag - 1998
45 Committee-based sampling for training probabilistic classifi.. - Dagan, Engelson - 1995
43 Boosted wrapper induction - Freitag, Kushmerick - 2000
17 Toward general-purpose learning for information extraction - Freitag - 1998
8 Active learning of partially hidden Markov models - Scheffer, Wrobel - 2001
8 Usersystem cooperation in document annotation based on infor.. - Ciravegna, Dingli et al. - 2002
4 Active learning for natural language processing and informat.. (context) - Thompson, Califf et al. - 1999
4 Timely and non-intrusive active document annotation via adap.. - Ciravegna, Dingli et al. - 2002
4 Selective sampling with reduntant views (context) - Muslea, Minton et al. - 2000
Documents on the same site (http://www.aidanf.net/pubs): More
Learning to Classify Documents According to Genre - Finn, Kushmerick (2003) (Correct)
Information Extraction by Convergent Boundary Classification - Aidan Finn And (Correct)
Learning to Classify Documents According to Genre - Aidan Finn And (2003) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC