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Improving the Use of Pseudo-Words for Evaluating Selectional Preferences
Nathanael Chambers
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Daniel Jurafsky
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
ACL |
Citations
URL
Sketch Algorithms for Estimating Point Queries in NLP
Amit Goyal
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Hal Daumé III
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Graham Cormode
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A Comparison of Selectional Preference Models for Automatic Verb Classification
Will Roberts
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Markus Egg
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Reducing Dimensions of Tensors in Type-Driven Distributional Semantics
Tamara Polajnar
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Luana Fǎgǎrǎşan
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Stephen Clark
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Inducing Example-based Semantic Frames from a Massive Amount of Verb Uses
Daisuke Kawahara
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Daniel Peterson
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Octavian Popescu
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Martha Palmer
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Selectional Preferences for Semantic Role Classification
Beñat Zapirain
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Eneko Agirre
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Lluís Màrquez
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Mihai Surdeanu
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A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation
Mohammad Taher Pilehvar
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Roberto Navigli
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Paving the Way to a Large-scale Pseudosense-annotated Dataset
Mohammad Taher Pilehvar
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Roberto Navigli
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A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation
Zhenhua Tian
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Hengheng Xiang
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Ziqi Liu
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Qinghua Zheng
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evision PDF of 'SPred: Large-scale Harvesting of Semantic Predicates
Tiziano Flati
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Roberto Navigli
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Measuring the Impact of Sense Similarity on Word Sense Induction
David Jurgens
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Keith Stevens
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Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization
Kazuma Hashimoto
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Yoshimasa Tsuruoka
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http://nlp.stanford.edu/software/lex-parser.shtml
Field Of Study
Task
Word Sense Disambiguation
Language
English
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