Class-Based Construction of a Verb Lexicon

By Karin Kipper Schuler, Hoa Trang Dang, Martha Palmer. AAAI/IAAI, 2000

500 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/031b4656032aad6699a642f62d993173b378b772

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Citations in the corpus

VerbOcean: Mining the Web for Fine-Grained Semantic Verb Relations (2004, methodology): “Additional manually constructed resources include PropBank (Kingsbury et al. 2002), Frame-Net (Baker et al. 1998), VerbNet (Kipper et al. 2000), and the resource on verb selectional restrictions developed by Gomez (2001).”
Shallow Semantic Parsing Based on FrameNet, VerbNet and PropBank (2006, methodology): “In this paper: 1 University of Rome ”Tor Vergata”: agiuglea@gmail.com 2 University of Rome ”Tor Vergata”: moschitti@info.uniroma2.it 1. we employ SVM Tree Kernels and structural features [19] for automatic token-based verb classification3 of the Intersective Levin classes (ILCs); 2. we use the class”
Verb Physics: Relative Physical Knowledge of Actions and Objects (2017, background): “, 2005), and VerbNet (Kipper et al., 2000) provide rich frame knowledge associated”
Learning Entailment Relations by Global Graph Structure Optimization (2012, background): “Additional manually constructed resources for predicates include PropBank (Kingsbury, Palmer, and Marcus 2002) and VerbNet (Kipper, Dang, and Palmer 2000).”
Neural Network Methods for Natural Language Processing (2017, background): “, 2004] and VerbNet [Kipper et al., 2000] are manually curated lexical resources that focus around verbs, listing for many verbs the kinds of argument they take (i.”
BioInfer: a corpus for information extraction in the biomedical domain (2007, background): “Several groups have undertaken efforts to define and use frames, or conceptual structures, mostly focusing on the definition of predicate-argument structures for verbs [ 21- 24 ].”
Unsupervised Learning of Narrative Schemas and their Participants (2009, background): “, 1998) or VerbNet (Kipper et al., 2000) as gold standard roles and training data.”
Special Issue Introduction: Semantic Role Labeling: An Introduction to the Special Issue (2008, unknown): “…the argument structure speciﬁcations for them, have proven useful in a number of NLP tasks (Habash, Dorr, and Traum 2003; Shi and Mihalcea 2005), including SRL (Swier and Stevenson 2004), and have provided the foundation for the computational verb lexicon VerbNet (Kipper, Dang, and Palmer 2000).”
A large-scale classification of English verbs (2008, background): “VerbNet (Kipper et al., 2000; Kipper-Schuler, 2005) – the largest computational verb lexicon currently available for English – provides detailed syntactic-semantic descriptions of Levin classes.”
The Proposition Bank: An Annotated Corpus of Semantic Roles (2005, unknown): “VerbNet (Kipper, Dang, and Palmer 2000; Kipper, Palmer, and Rambow 2002) extends Levin’s classes by adding an abstract representation of the syntactic frames for each class with explicit correspondences between syntactic positions and the semantic roles they express, as in Agent REL Patient or…”