Proceedings of the

By Jorge Calvo-Zaragoza, Alexander Pacha, T. Wien, Austria Elona, Shatri, N´estor Fabian C. Moss, N´apoles L´opez, Maik K¨oster, David Rizo, Dnyanesh Walwadkar and 22 more. 1999

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Citations in the corpus

• Q^{2}: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering (2021, methodology): “Recently, Scialom et al. (2021) suggested QuestEval, which combines the Recall and Precision oriented QG and QA approaches, obtaining a more robust metric for evaluating abstractive summaries which was adopted in the GEM shared task (Bosselut et al., 2021).”
• Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings (2016, unknown): “…40 Actions (Yao et al., 2011) 33 40 9532 N N PASCAL 2012 (Everingham et al., 2015) 9 11 4588 N N 89 Actions (Le et al., 2013) 36 89 2038 N N TUHOI (Le et al., 2014) – 2974 10805 N N COCO-a (Ronchi and Perona, 2015) 140 162 10000 N Y HICO (Chao et al., 2015) 111 600 47774 Y N VerSe (our dataset)…”
• Ionic winds for locally enhanced cooling (2007, unknown): “16 Recently Léger et al. 17 and Kimmel et al. 18 investigated and demonstrated the ability of corona discharges to reduce drag using electrodes perpendicular to the flow and either flush or in contact with a flat plate.”
• Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2020, background): “There are a plethora of biomedical NLP datasets, especially from various shared tasks such as BioCreative [3, 29, 40, 53], BioNLP [15, 28], SemEval [2, 9, 10, 17], and BioASQ [42].”
• Multidimensional variation for quasi-Monte Carlo (2004, background): “Young (1913) shows that definition to be equivalent to the one above.”
• Memory formation in matter (2018, background): “Rigid disordered materials can become auxetic (i.e., have a negative Poisson’s ratio), or even develop a coordinated response at one location due to a stress applied elsewhere, when certain bonds are cut (Goodrich et al., 2015; Hexner et al., 2018a,b; Rocks et al., 2017, 2019; Yan et al., 2017).”
• Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold (2022, background): “…to what extent this may be the case, we created a short questionnaire, which we sent to a geographically diverse set of teachers, including first authors from the last Teaching NLP workshop (Jurgens et al., 2021), asking about the first experiment that they presented in their NLP 101 course.”