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<h3 id="2019" class="pubyear">2019</h3>
<div class="bibliography"><div>
<div id="bib-item-abnar2019" class="bib-entry my-3" data-searchable="" data-year="2019" data-title="Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains" data-author="Abnar, Samira and Beinborn, Lisa and Choenni, Rochelle and Zuidema, Willem" data-publication="">
<span id="abnar2019">Abnar, S., Beinborn, L., Choenni, R., & Zuidema, W. (2019). Blackbox meets blackbox: Representational Similarity and Stability Analysis of Neural Language Models and Brains.</span><br />
<a href="https://arxiv.org/abs/1906.01539" target="_blank">
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arXiv
</button></a>
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<div id="bib-item-beeksma2019" class="bib-entry my-3" data-searchable="" data-year="2019" data-title="Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records" data-author="Beeksma, Merijn and Verberne, Suzan and van den Bosch, Antal and Das, Enny and Hendrickx, Iris and Groenewoud, Stef" data-publication="BMC Medical Informatics and Decision Making">
<span id="beeksma2019">Beeksma, M., Verberne, S., van den Bosch, A., Das, E., Hendrickx, I., & Groenewoud, S. (2019). Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records. <i>BMC Medical Informatics and Decision Making</i>, <i>19</i>, 36.</span><br />
<a href="https://doi.org/10.1186/s12911-019-0775-2" target="_blank" title="Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records">
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DOI
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<div>
<div id="bib-item-chrupala2019" class="bib-entry my-3" data-searchable="" data-year="2019" data-title="Correlating neural and symbolic representations of language" data-author="Chrupała, Grzegorz and Alishahi, Afra" data-publication="Proceedings of the 57th Annual Meeting of the Association for
Computational Linguistics">
<span id="chrupala2019">Chrupała, G., & Alishahi, A. (2019). Correlating neural and symbolic representations of language. In <i>Proceedings of the 57th Annual Meeting of the Association for
Computational Linguistics</i>.</span><br />
<a href="https://arxiv.org/abs/1905.06401" target="_blank">
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arXiv
</button></a>
</div>
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</div>
<div>
<div id="bib-item-mul2019" class="bib-entry my-3" data-searchable="" data-year="2019" data-title="Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization" data-author="Mul, Mathijs and Zuidema, Willem" data-publication="">
<span id="mul2019">Mul, M., & Zuidema, W. (2019). Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization.</span><br />
<a href="https://arxiv.org/abs/1906.00180" target="_blank">
<button type="button" class="btn btn--inverse">
arXiv
</button></a>
</div>
<br />
</div></div>
<h3 id="2018" class="pubyear">2018</h3>
<div class="bibliography"><div>
<div id="bib-item-bentivogli2018" class="bib-entry my-3" data-searchable="" data-year="2018" data-title="Neural versus phrase-based MT quality: An in-depth analysis on English–German and English–French" data-author="Bentivogli, Luisa and Bisazza, Arianna and Cettolo, Mauro and Federico, Marcello" data-publication="Computer Speech & Language">
<span id="bentivogli2018">Bentivogli, L., Bisazza, A., Cettolo, M., & Federico, M. (2018). Neural versus phrase-based MT quality: An in-depth analysis on English–German and English–French. <i>Computer Speech & Language</i>, <i>49</i>, 52–70.</span><br />
<a href="https://doi.org/10.1016/j.csl.2017.11.004" target="_blank" title="Neural versus phrase-based MT quality: An in-depth analysis on English–German and English–French">
<button type="button" class="btn btn--inverse">
DOI
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</div>
<div>
<div id="bib-item-bisazza2018" class="bib-entry my-3" data-searchable="" data-year="2018" data-title="The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation" data-author="Bisazza, Arianna and Tump, Clara" data-publication="Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing">
<span id="bisazza2018">Bisazza, A., & Tump, C. (2018). The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation. In <i>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</i> (pp. 2871–2876). Brussels, Belgium: Association for Computational Linguistics.</span><br />
</div>
<br />
</div>
<div>
<div id="bib-item-giulianelli2018" class="bib-entry my-3" data-searchable="" data-year="2018" data-title="Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information" data-author="Giulianelli, Mario and Harding, Jack and Mohnert, Florian and Hupkes, Dieuwke and Zuidema, Willem" data-publication="Proceedings EMNLP workshop Analyzing and interpreting neural networks for NLP (BlackboxNLP)">
<span id="giulianelli2018">Giulianelli, M., Harding, J., Mohnert, F., Hupkes, D., & Zuidema, W. (2018). Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information. In <i>Proceedings EMNLP workshop Analyzing and interpreting neural networks for NLP (BlackboxNLP)</i>.</span><br />
<a href="https://arxiv.org/abs/1808.08079" target="_blank">
<button type="button" class="btn btn--inverse">
arXiv
</button></a>
</div>
<br />
</div>
<div>
<div id="bib-item-hupkes2018" class="bib-entry my-3" data-searchable="" data-year="2018" data-title="Visualisation and ‘Diagnostic Classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure" data-author="Hupkes, Dieuwke and Veldhoen, Sara and Zuidema, Willem" data-publication="Journal of Artificial Intelligence Research">
<span id="hupkes2018">Hupkes, D., Veldhoen, S., & Zuidema, W. (2018). Visualisation and ‘Diagnostic Classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure. <i>Journal of Artificial Intelligence Research</i>, <i>61</i>, 907–926.</span><br />
<a href="https://arxiv.org/abs/1711.10203" target="_blank">
<button type="button" class="btn btn--inverse">
arXiv
</button></a>
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<br />
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<div>
<div id="bib-item-murdoch2018" class="bib-entry my-3" data-searchable="" data-year="2018" data-title="Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs" data-author="Murdoch, W. James and Liu, Peter J. and Yu, Bin" data-publication="ICLR 2018">
<span id="murdoch2018">Murdoch, W. J., Liu, P. J., & Yu, B. (2018). Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs. <i>ICLR 2018</i>.</span><br />
<a href="https://arxiv.org/abs/1801.05453" target="_blank">
<button type="button" class="btn btn--inverse">
arXiv
</button></a>
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</div>
<div>
<div id="bib-item-repplinger2018" class="bib-entry my-3" data-searchable="" data-year="2018" data-title="Vector-space models of words and sentences" data-author="Repplinger, Michael and Beinborn, Lisa and Zuidema, Willem" data-publication="Nieuw Archief voor de Wiskunde">
<span id="repplinger2018">Repplinger, M., Beinborn, L., & Zuidema, W. (2018). Vector-space models of words and sentences. <i>Nieuw Archief Voor De Wiskunde</i>.</span><br />
</div>
<br />
</div>
<div>
<div id="bib-item-tran2018" class="bib-entry my-3" data-searchable="" data-year="2018" data-title="The Importance of Being Recurrent for Modeling Hierarchical Structure" data-author="Tran, Ke and Bisazza, Arianna and Monz, Christof" data-publication="Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing">
<span id="tran2018">Tran, K., Bisazza, A., & Monz, C. (2018). The Importance of Being Recurrent for Modeling Hierarchical Structure. In <i>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</i> (pp. 4731–4736).</span><br />
<a href="https://arxiv.org/abs/1803.03585" target="_blank">
<button type="button" class="btn btn--inverse">
arXiv
</button></a>
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</div></div>
<h3 id="2017" class="pubyear">2017</h3>
<div class="bibliography"><div>
<div id="bib-item-alishahi2017" class="bib-entry my-3" data-searchable="" data-year="2017" data-title="Encoding of phonology in a recurrent neural model of grounded speech" data-author="Alishahi, Afra and Barking, Marie and Chrupała, Grzegorz" data-publication="Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)">
<span id="alishahi2017">Alishahi, A., Barking, M., & Chrupała, G. (2017). Encoding of phonology in a recurrent neural model of grounded speech. In R. Levy & L. Specia (Eds.), <i>Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)</i> (pp. 368–378). Association for Computational Linguistics.</span><br />
<a href="https://doi.org/10.18653/v1/K17-1037" target="_blank" title="Encoding of phonology in a recurrent neural model of grounded speech">
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DOI
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<div>
<div id="bib-item-arras2017" class="bib-entry my-3" data-searchable="" data-year="2017" data-title="Explaining Recurrent Neural Network Predictions in Sentiment Analysis" data-author="Arras, Leila and Montavon, Grégoire and Müller, Klaus-Robert and Samek, Wojciech" data-publication="EMNLP 2017">
<span id="arras2017">Arras, L., Montavon, G., Müller, K.-R., & Samek, W. (2017). Explaining Recurrent Neural Network Predictions in Sentiment Analysis. <i>EMNLP 2017</i>, 159.</span><br />
<a href="https://doi.org/10.18653/v1/W17-5221" target="_blank" title="Explaining Recurrent Neural Network Predictions in Sentiment Analysis">
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DOI
</button></a>
<a href="https://arxiv.org/abs/1706.07206" target="_blank">
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arXiv
</button></a>
</div>
<br />
</div>
<div>
<div id="bib-item-fadaee2017" class="bib-entry my-3" data-searchable="" data-year="2017" data-title="Data Augmentation for Low-Resource Neural Machine Translation" data-author="Fadaee, Marzieh and Bisazza, Arianna and Monz, Christof" data-publication="Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)">
<span id="fadaee2017">Fadaee, M., Bisazza, A., & Monz, C. (2017). Data Augmentation for Low-Resource Neural Machine Translation. <i>Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)</i>, 567–573.</span><br />
<a href="https://doi.org/10.18653/v1/P17-2090" target="_blank" title="Data Augmentation for Low-Resource Neural Machine Translation">
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DOI
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<a href="https://arxiv.org/abs/1705.00440" target="_blank">
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arXiv
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</div>
<div>
<div id="bib-item-fokkens2017" class="bib-entry my-3" data-searchable="" data-year="2017" data-title="BiographyNet: Extracting Relations Between People and Events" data-author="Fokkens, Antske and ter Braake, Serge and Ockeloen, Nick and Vossen, Piek and Legêne, Susan and Schreiber, Guus and de Boer, Victor" data-publication="Europa baut auf Biographien: Aspekte, Bausteine, Normen und Standards für eine europäische Biographik">
<span id="fokkens2017">Fokkens, A., ter Braake, S., Ockeloen, N., Vossen, P., Legêne, S., Schreiber, G., & de Boer, V. (2017). BiographyNet: Extracting Relations Between People and Events. In Á. Z. Bernád, C. Gruber, & M. Kaiser (Eds.), <i>Europa baut auf Biographien: Aspekte, Bausteine, Normen und Standards für eine europäische Biographik</i> (1st ed., pp. 193–224). Vienna: New Academic Press.</span><br />
</div>
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<div>
<div id="bib-item-kadar2017" class="bib-entry my-3" data-searchable="" data-year="2017" data-title="Representation of Linguistic Form and Function in Recurrent Neural Networks" data-author="Kádár, Ákos and Chrupała, Grzegorz and Alishahi, Afra" data-publication="Computational Linguistics">
<span id="kadar2017">Kádár, Á., Chrupała, G., & Alishahi, A. (2017). Representation of Linguistic Form and Function in Recurrent Neural Networks. <i>Computational Linguistics</i>, <i>43</i>, 761–780.</span><br />
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<h3 id="2014" class="pubyear">2014</h3>
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<h3 id="2012" class="pubyear">2012</h3>
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