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        <title>NUBIA: NeUral Based Interchangeability Assessor for Text Generation</title>
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        <namePart type="given">Hassan</namePart>
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    <name type="personal">
        <namePart type="given">Muhammed</namePart>
        <namePart type="given">Yusuf</namePart>
        <namePart type="family">Kocyigit</namePart>
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        <namePart type="given">Ali</namePart>
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    <name type="personal">
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    <name type="personal">
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    <abstract>We present NUBIA, a methodology to build automatic evaluation metrics for text generation using only machine learning models as core components. A typical NUBIA model is composed of three modules: a neural feature extractor, an aggregator and a calibrator. We demonstrate an implementation of NUBIA showing competitive performance with stateof-the art metrics used to evaluate machine translation and state-of-the art results for image captions quality evaluation. In addition to strong performance, NUBIA models have the advantage of being modular and improve in synergy with advances in text generation models.</abstract>
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%0 Conference Proceedings
%T NUBIA: NeUral Based Interchangeability Assessor for Text Generation
%A Kane, Hassan
%A Kocyigit, Muhammed Yusuf
%A Abdalla, Ali
%A Ajanoh, Pelkins
%A Coulibali, Mohamed
%S Proceedings of the 1st Workshop on Evaluating NLG Evaluation
%D 2020
%8 December
%I Association for Computational Linguistics
%C Online (Dublin, Ireland)
%F kane-etal-2020-nubia
%X We present NUBIA, a methodology to build automatic evaluation metrics for text generation using only machine learning models as core components. A typical NUBIA model is composed of three modules: a neural feature extractor, an aggregator and a calibrator. We demonstrate an implementation of NUBIA showing competitive performance with stateof-the art metrics used to evaluate machine translation and state-of-the art results for image captions quality evaluation. In addition to strong performance, NUBIA models have the advantage of being modular and improve in synergy with advances in text generation models.
%U https://aclanthology.org/2020.evalnlgeval-1.4
%P 28-37

Markdown (Informal)

[NUBIA: NeUral Based Interchangeability Assessor for Text Generation](https://aclanthology.org/2020.evalnlgeval-1.4) (Kane et al., EvalNLGEval 2020)

• NUBIA: NeUral Based Interchangeability Assessor for Text Generation (Kane et al., EvalNLGEval 2020)

ACL

• Hassan Kane, Muhammed Yusuf Kocyigit, Ali Abdalla, Pelkins Ajanoh, and Mohamed Coulibali. 2020. NUBIA: NeUral Based Interchangeability Assessor for Text Generation. In Proceedings of the 1st Workshop on Evaluating NLG Evaluation, pages 28–37, Online (Dublin, Ireland). Association for Computational Linguistics.