The VerbNet API contains python tools for working with VerbNet data (XML files). It also contains the latest publicly available version of VerbNet. The project can be found at https://github.com/cu-clear/verbnet/
The Unified Verb Index is a system which merges links and web pages from four different natural language processing projects: VerbNet, PropBank, FrameNet, WordNet and OntoNotes. SemLink is a project whose aim is to link together these lexical resources via sets of mappings. These mappings have made it possible to combine the information provided by these different lexical resources for tasks such as inference. The project can be found at http://verbs.colorado.edu/semlink/
Force dynamics is a generalization of the theory of causal relations based on transmission of force; Talmy's extended theory of causation (Talmy 1988/2000; Croft 2012). In the force dynamic model, event structure is defined in terms of the interactions between the participants in the event. An argument structure construction is the configuration of subject, object and oblique phrases which a verb occurs with. (Croft et al., 2018)
Verb classes in VerbNet are linked to Force Dynamics relations where available.
The VerbNet Parser provides a tool that uses VerbNet class predictions and PropBank semantic roles to align to a VerbNet frame and produce VerbNet semantic representations. The demo of the VerbNet Parser can be found here: http://verbnet-semantic-parser.appspot.com/
This is the link of the VerbNet Parser Github: https://github.com/jgung/verbnet-parser
Neural network based approaches to automated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries. The project of Story Realization presents an ensemble-based model that generates natural language guided by events. They provide results---including a human subjects study---for a full end-to-end automated story generation system showing that their method generates more coherent and plausible stories than baseline approaches.VerbNet is used in the experiments.
The paper of this project can be found here: Story Realization: Expanding Plot Events into Sentences
Syn-QG(Syntactic and Shallow Semantic Rules for Question Generation) is a Java-based question generator which generates questions from multiple sources: 1. Dependency Parsing. 2. Semantic Role Labeling. 3. NER templates. 4. VerbNet Predicates. 5. PropBank Roleset Argument Descriptions. 6. Custom Rules. 7. Implication Rules. The paper and code of this project can be found here: Kaustubh Dholé’s Blog
UVI stores lexical resources as well as mappings between the resources. For access to lexical resources used in this project; select the projects/ resources you are interested in and click the Download button. Data is downloaded in JSON Format.
Please find the licence agreement link for the Verbnet resouces here
The description of the Licence Agreement can be found on the licence agreement tab on the left. Please check that if you need more details.
VerbNet 3.0 License download text. Also applies to VerbNet 3.X versions
This software and database is being provided to you, the LICENSEE, by
the University of Colorado under the following license. By obtaining, using
and/or copying this software and database, you agree that you have
read, understood, and will comply with these terms and conditions.:
Permission to use, copy, modify and distribute this software and
database and its documentation for any purpose and without fee or
royalty is hereby granted, provided that you agree to comply with
the following copyright notice and statements, including the disclaimer,
and that the same appear on ALL copies of the software, database and
documentation, including modifications that you make for internal
use or for distribution.
VerbNet 3.0 (or 3.X) Copyright 2009 by University of Colorado. All rights reserved.
THIS SOFTWARE AND DATABASE IS PROVIDED "AS IS" AND THE UNIVERSITY
OF COLORADO MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, UNIVERSITY
OF COLORADO MAKES NO REPRESENTATIONS OR WARRANTIES OF MERCHANT-
ABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE
OF THE LICENSED SOFTWARE, DATABASE OR DOCUMENTATION WILL NOT
INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR
OTHER RIGHTS.
The name of University of Colorado or CU may not be used in
advertising or publicity pertaining to distribution of the software
and/or database. Title to copyright in this software, database and
any associated documentation shall at all times remain with
University of Colorado and LICENSEE agrees to preserve same.
Please reference the following document(s) in any description of
applications based on VerbNet 3.0 (or 3.X):
Karin Kipper, Anna Korhonen, Neville Ryant, Martha Palmer,
A Large-scale Classification of English Verbs,
Language Resources and Evaluation Journal, 42(1), pp. 21-40,
Springer Netherland, 2008.
and/or
Karin Kipper Schuler, Anna Korhonen, Susan W. Brown,
VerbNet overview, extensions, mappings and apps, Tutorial, NAACL-HLT 2009, Boulder, Colorado.