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Semi-Supervised Semantic Role Labeling via Structural Alignment
Hagen Fürstenau
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Mirella Lapata
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Paper Details:
Year: 2012
Venue:
CL |
Citations
URL
Composition of Word Representations Improves Semantic Role Labelling
Michael Roth
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Kristian Woodsend
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Cross Sentence Inference for Process Knowledge
Samuel Louvan
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Chetan Naik
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Sadhana Kumaravel
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Heeyoung Kwon
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Niranjan Balasubramanian
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Peter Clark
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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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Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity
Mohammad Taher Pilehvar
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David Jurgens
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Roberto Navigli
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Semantic Roles for String to Tree Machine Translation
Marzieh Bazrafshan
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Daniel Gildea
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Multiplicative Representations for Unsupervised Semantic Role Induction
Yi Luan
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Yangfeng Ji
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Hannaneh Hajishirzi
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Boyang Li
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Generating Training Data for Semantic Role Labeling based on Label Transfer from Linked Lexical Resources
Silvana Hartmann
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Judith Eckle-Kohler
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Iryna Gurevych
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Structural Alignment for Comparison Detection
Wiltrud Kessler
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Jonas Kuhn
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Assessing SRL Frameworks with Automatic Training Data Expansion
Silvana Hartmann
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Éva Mújdricza-Maydt
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Ilia Kuznetsov
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Iryna Gurevych
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Anette Frank
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LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test
Michael Bugert
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Yevgeniy Puzikov
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Andreas Rücklé
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Judith Eckle-Kohler
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Teresa Martin
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Eugenio Martínez-Cámara
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Daniil Sorokin
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Maxime Peyrard
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Iryna Gurevych
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http://lpsolve.sourceforge.net/
Field Of Study
Task
Word Sense Disambiguation
Information Extraction
Relation Extraction
Question Answering
Coreference Resolution
Summarization
Machine Translation
Paraphrasing
Language
Chinese
English
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