This paper presents the results of the Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge, aiming to bring together researchers in educational NLP technology and textual entailment.
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This paper presents the results of the Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge, aiming to bring together researchers in educational NLP technology and textual entailment.
Physical Description
12 p.
Notes
Abstract: We present the results of the Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge, aiming to bring together researchers in educational NLP technology and textual entailment. The task of giving feedback on student answers requires semantic inference and therefore is related to recognizing textual entailment. Thus, we offered to the community a 5-way student response labeling task, as well as 3-way and 2- way RTE-style tasks on educational data. In addition, a partial entailment task was piloted. We present and compare results from 9 participating teams, and discuss future directions.
Publication Title:
Second Joint Conference on Lexical and Computational Semantics (*SEM): Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Volume:
2
Pages:
12
Page Start:
263
Page End:
274
Peer Reviewed:
Yes
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Dzikovska, Myroslava O.; Nielsen, Rodney D.; Brew, Chris; Leacock, Claudia; Giampiccolo, Danilo; Bentivogli, Luisa et al.SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Embodiment Challenge,
paper,
June 2013;
Stroudsburg, Pennsylvania.
(https://digital.library.unt.edu/ark:/67531/metadc993399/:
accessed April 25, 2025),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Engineering.