Resources
- Knowledge-Constrained Generation of Implicit Information between Sentences Code for Equipping Language Models with Commonsense Knowledge for Generating Implicit Knowledge Statements on Github
- CO-NNECT: A Framework for Establishing Single- and Multihop Commonsense Knowledge Paths between Concepts in Texts Code for CO-NNECT on Github
- CoCo-Ex: A Tool for Extracting Concepts from Texts and Linking them to ConceptNet Code for CoCO-Ex on Github (Becker et al., 2021)
- Commonsense Knowledge Relation Classification System (COREC) Code for our Commonsense Knowledge Relation Classifier on Github (Becker et al., 2019)
- Commonsense Knowledge Relation Classification with pretrained Langauge Models (COREC-LM) Code for our Enhanced Version of COREC (COREC-LM) on Github
- Semantic Clause Types Classifier Code for our Semantic Clause Types Classifier on Github (Becker et al., 2017)
- IKAT-DE: Implied knowledge in argumentative texts (German Version) Dataset which contains annotations about implicit information in argumentative texts in German (Becker et al., 2017)
- IKAT-EN: Implied knowledge in argumentative texts (English Version) Dataset which contains annotations about implicit information in argumentative texts in English (Becker et al., 2020)
- Situation Entity Type labelled corpus for German (GER_SET) Corpus which contains German texts from different genres annotated with Semantic Clause Types (e.g. States, Events, Generic Sentences...) (Becker et al., 2017)