Corrective feedback and persistent learning for information extraction

Corrective feedback and persistent learning for information extraction

To successfully embed statistical machine learning models in real world applications, two post-deployment capabilities must be provided: (1) the ability to solicit user corrections and (2) the ability to update the model from these corrections. We refer to the former capability as corrective feedback and the latter as persistent learning. While these capabilities have a natural implementation f...

Learning for Information Extraction

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The Role of Corrective Feedback and Learning Styles on EFL Students’ Acquisition of Grammatical Structures

The role of oral corrective feedback has been investigated by SLA researchers from various perspectives. Focusing on Iranian EFL context, the present study aimed to explore the role of receiving corrective feedback in the learning of English grammatical structures. It also probed the association between the type of corrective feedback and EFL learners’ learning styles. This was an experimental ...

Corrective Feedback and Teacher Development

Corrective Feedback in Dialogue-based Computer Assisted Language Learning

Computer assisted language learning (CALL) systems are used by people to learn a language. CALL systems have provided a number of advantages for language learning such as their ability to provide consistent and flexible corrective feedback during the learning process. This feedback is expressed as information about what is ungrammatical or unacceptable in a target language. This paper presents ...