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    <abstract>Negation is often found more frequent in dialogue than commonly written texts, such as literary texts. Furthermore, the scope and focus of negation depends on context in dialogues than other forms of texts. Existing negation datasets have focused on non-dialogue texts such as literary texts where the scope and focus of negation is normally present within the same sentence where the negation is located and therefore are not the most appropriate to inform the development of negation handling algorithms for dialogue-based systems. In this paper, we present DT -Neg corpus (DeepTutor Negation corpus) which contains texts extracted from tutorial dialogues where students interacted with an Intelligent Tutoring System (ITS) to solve conceptual physics problems. The DT -Neg corpus contains annotated negations in student responses with scope and focus marked based on the context of the dialogue. Our dataset contains 1,088 instances and is available for research purposes at http://language.memphis.edu/dt-neg.</abstract>
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%0 Conference Proceedings
%T DT-Neg: Tutorial Dialogues Annotated for Negation Scope and Focus in Context
%A Banjade, Rajendra
%A Rus, Vasile
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F banjade-rus-2016-dt
%X Negation is often found more frequent in dialogue than commonly written texts, such as literary texts. Furthermore, the scope and focus of negation depends on context in dialogues than other forms of texts. Existing negation datasets have focused on non-dialogue texts such as literary texts where the scope and focus of negation is normally present within the same sentence where the negation is located and therefore are not the most appropriate to inform the development of negation handling algorithms for dialogue-based systems. In this paper, we present DT -Neg corpus (DeepTutor Negation corpus) which contains texts extracted from tutorial dialogues where students interacted with an Intelligent Tutoring System (ITS) to solve conceptual physics problems. The DT -Neg corpus contains annotated negations in student responses with scope and focus marked based on the context of the dialogue. Our dataset contains 1,088 instances and is available for research purposes at http://language.memphis.edu/dt-neg.
%U https://aclanthology.org/L16-1597
%P 3768-3771

Markdown (Informal)

[DT-Neg: Tutorial Dialogues Annotated for Negation Scope and Focus in Context](https://aclanthology.org/L16-1597) (Banjade & Rus, LREC 2016)

• DT-Neg: Tutorial Dialogues Annotated for Negation Scope and Focus in Context (Banjade & Rus, LREC 2016)

ACL

• Rajendra Banjade and Vasile Rus. 2016. DT-Neg: Tutorial Dialogues Annotated for Negation Scope and Focus in Context. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3768–3771, Portorož, Slovenia. European Language Resources Association (ELRA).