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Domain Adaptation with Active Learning for Word Sense Disambiguation
Yee Seng Chan
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Hwee Tou Ng
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Paper Details:
Month: June
Year: 2007
Location: Prague, Czech Republic
Venue:
ACL |
Citations
URL
On Robustness and Domain Adaptation using SVD for Word Sense Disambiguation
Eneko Agirre
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Oier Lopez de Lacalle
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Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification
Jingbo Zhu
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Huizhen Wang
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Tianshun Yao
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Benjamin K Tsou
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Bringing Active Learning to Life
Ines Rehbein
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Josef Ruppenhofer
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Alexis Palmer
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Word Sense Disambiguation Using OntoNotes: An Empirical Study
Zhi Zhong
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Hwee Tou Ng
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Yee Seng Chan
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Domain adaptive bootstrapping for named entity recognition
Dan Wu
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Wee Sun Lee
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Nan Ye
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Hai Leong Chieu
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Negative Training Data Can be Harmful to Text Classification
Xiao-Li Li
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Bing Liu
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See-Kiong Ng
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A New Minimally-Supervised Framework for Domain Word Sense Disambiguation
Stefano Faralli
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Roberto Navigli
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Supervised Domain Adaption for WSD
Eneko Agirre
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Oier Lopez de Lacalle
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Gloss-Based Semantic Similarity Metrics for Predominant Sense Acquisition
Ryu Iida
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Diana McCarthy
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Rob Koeling
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Domain Adaptation with Latent Semantic Association for Named Entity Recognition
Honglei Guo
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Huijia Zhu
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Zhili Guo
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Xiaoxun Zhang
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Xian Wu
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Zhong Su
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Active Learning with Confidence
Mark Dredze
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Koby Crammer
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Heterogeneous Transfer Learning for Image Clustering via the SocialWeb
Qiang Yang
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Yuqiang Chen
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Gui-Rong Xue
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Wenyuan Dai
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Yong Yu
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A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query
Makoto Imamura
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Yasuhiro Takayama
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Nobuhiro Kaji
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Masashi Toyoda
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Masaru Kitsuregawa
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All Words Domain Adapted WSD: Finding a Middle Ground between Supervision and Unsupervision
Mitesh Khapra
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Anup Kulkarni
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Saurabh Sohoney
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Pushpak Bhattacharyya
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Evaluating the Impact of Coder Errors on Active Learning
Ines Rehbein
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Josef Ruppenhofer
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Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis
Graham Neubig
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Yosuke Nakata
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Shinsuke Mori
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Identification of Domain-Specific Senses in a Machine-Readable Dictionary
Fumiyo Fukumoto
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Yoshimi Suzuki
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SenseSpotting: Never let your parallel data tie you to an old domain
Marine Carpuat
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Hal Daumé III
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Katharine Henry
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Ann Irvine
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Jagadeesh Jagarlamudi
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Rachel Rudinger
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Bilingual Active Learning for Relation Classification via Pseudo Parallel Corpora
Longhua Qian
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Haotian Hui
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Ya’nan Hu
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Guodong Zhou
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Qiaoming Zhu
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A Hassle-Free Unsupervised Domain Adaptation Method Using Instance Similarity Features
Jianfei Yu
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Jing Jiang
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Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Rotem Dror
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Gili Baumer
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Marina Bogomolov
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Roi Reichart
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CFILT: Resource Conscious Approaches for All-Words Domain Specific WSD
Anup Kulkarni
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Mitesh Khapra
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Saurabh Sohoney
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Pushpak Bhattacharyya
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SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain
Eneko Agirre
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Oier Lopez de Lacalle
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Christiane Fellbaum
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Andrea Marchetti
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Antonio Toral
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Piek Vossen
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Domain Adaptation meets Active Learning
Piyush Rai
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Avishek Saha
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Hal Daumé
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Suresh Venkatasubramanian
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Online Active Learning for Cost Sensitive Domain Adaptation
Min Xiao
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Yuhong Guo
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Domain Adaptation with Active Learning for Coreference Resolution
Shanheng Zhao
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Hwee Tou Ng
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Active learning for sense annotation
Héctor Martínez Alonso
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Barbara Plank
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Anders Johannsen
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Anders Søgaard
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No URLs Found
Field Of Study
Task
Word Sense Disambiguation
Language
English
Japanese
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