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Moreover, the wiki provides guidelines for annotation of data with explanation moves. In fact, the glossary has been enriched with the extracted examples for each explanation move either from a real-world dataset or from literature. This information is therefore considered as a guideline for the human agents, who will annotate Explainer-Explainee dialogues. | Moreover, the wiki provides guidelines for annotation of data with explanation moves. In fact, the glossary has been enriched with the extracted examples for each explanation move either from a real-world dataset or from literature. This information is therefore considered as a guideline for the human agents, who will annotate Explainer-Explainee dialogues. | ||
<h2>[https://webtentacle1.techfak.uni-bielefeld.de/infwiki/index.php/General_moves General moves]</h2> | |||
General moves are the explanation moves, which could happen both from the side of the explainee and the explainer in an explanation dialogue. At the moment, the categories assigned to some of the moves are just rough estimates, and they might be classified differently after further refinement. For example, some explainee move could be classified as a general move at a further refinement step. Or it could be the case that we find out that a specific move, which is classified as a general move is statistically more relevant for the Explainees based on the datasets in the realm of explanations. The same story could apply between explainer moves and general moves. | |||
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Explainer moves is the category of the explanation moves that happen from the side of explainers in an explanation dialogue. | Explainer moves is the category of the explanation moves that happen from the side of explainers in an explanation dialogue. | ||
<h2>[https://webtentacle1.techfak.uni-bielefeld.de/infwiki/index.php/Biases Biases]</h2> | <h2>[https://webtentacle1.techfak.uni-bielefeld.de/infwiki/index.php/Biases Biases]</h2> | ||
Revision as of 14:33, 7 March 2022
This wiki contains a glossary of terms related to the field of explainable AI within the scope of the TRR projects. The glossary consists of three categories of explanation moves: “Explainer moves”, “Explainee moves” and “General moves”. Additionally, the wiki includes different types of cognitive biases, different reasoning strategies, and other related terms within the scope of TRR 318.
Looking at the glossary from a different perspective, the explanation moves in the glossary include: adult–child interaction moves (such as embedded correction, and repetitions to place a common ground), short answer questions (such as verification and disjunctive questions), long answer questions (such as procedural, expectational, and assertion questions), backchannels (such as phrasal, substantive, and non-lexical ones), and other dialog moves (such as Assert, Reassert, Accept, Accept-part, Reject, Signaling emotions, and Open option).
Moreover, the wiki provides guidelines for annotation of data with explanation moves. In fact, the glossary has been enriched with the extracted examples for each explanation move either from a real-world dataset or from literature. This information is therefore considered as a guideline for the human agents, who will annotate Explainer-Explainee dialogues.
General moves
General moves are the explanation moves, which could happen both from the side of the explainee and the explainer in an explanation dialogue. At the moment, the categories assigned to some of the moves are just rough estimates, and they might be classified differently after further refinement. For example, some explainee move could be classified as a general move at a further refinement step. Or it could be the case that we find out that a specific move, which is classified as a general move is statistically more relevant for the Explainees based on the datasets in the realm of explanations. The same story could apply between explainer moves and general moves.
Explainee moves
Explainee moves is the category of the explanation moves that happen from the side of explainees in an explanation dialogue.
Explainer moves
Explainer moves is the category of the explanation moves that happen from the side of explainers in an explanation dialogue.
Biases
The field of explainable AI looks into cognitive factors that bias or compromise decision-making. The wiki contains a list of cognitive biases related to the TRR 318 projects.
Reasoning
Researchers from the field of explainable AI are also interested in theories that describe patterns of how people reason. The wiki therefore include a list of related concepts to reasoning.
Other terms
Apart from the above-mentioned categories, the wiki has classified other related terms to the TRR projects in this category.