Fetching the paper…
Reading the bibliography…
The design of a metric between probability distributions is a longstanding problem motivated by numerous applications in Machine Learning.
Affect-driven dialog generation
Colombo, P., Witon, W., Modi, A., Kennedy, J., and Kapadia, M. (2019) · 1904
Earlier work this paper cites.
Bertscore: Evaluating text generation with bert
Zhang, T., Kishore, V., Wu, F., Weinberger, K. Q., and Artzi, Y. (2019) · 1904
Earlier work this paper cites.
Unified language model pre-training for natural language understanding and generation
Dong, L., Yang, N., Wang, W., Wei, F., Liu, X., Wang, Y., Gao, J., Zhou, M., and Hon, H.-W. (2019) · 1905
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V. (2019b) · 1907
Earlier work this paper cites.
Searching for effective neural extractive summarization: What works and what’s next
Zhong, M., Liu, P., Wang, D., Qiu, X., and Huang, X. (2019) · 1907
Earlier work this paper cites.
From the token to the review: A hierarchical multimodal approach to opinion mining
Garcia, A., Colombo, P., Essid, S., d’Alché Buc, F., and Clavel, C. (2019) · 1908
Earlier work this paper cites.
Text summarization with pretrained encoders
Liu, Y. and Lapata, M. (2019) · 1908
Earlier work this paper cites.
Moverscore: Text generation evaluating with contextualized embeddings and earth mover distance
Zhao, W., Peyrard, M., Liu, F., Gao, Y., Meyer, C. M., and Eger, S. (2019) · 1909
Earlier work this paper cites.
Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., and Zettlemoyer, L. (2019) · 1910
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J. (2019) · 1910
Earlier work this paper cites.
Huggingface’s transformers: State-of-the-art natural language processing
Wolf, T., Debut, L., Sanh, V., Chaumond, J., Delangue, C., Moi, A., Cistac, P., Rault, T., Louf, R., Funtowicz, M., et al. (2019) · 1910
Earlier work this paper cites.
A new measure of rank correlation
Kendall, M. G. (1938) · 1938
Earlier work this paper cites.
A mathematical theory of communication
Shannon, C. E. (1948) · 1948
Earlier work this paper cites.
Information Theory and Statistics
Kullback, S. (1959) · 1959
Earlier work this paper cites.
On measures of entropy and information
Rényi, A. (1961) · 1961
Earlier work this paper cites.
Eine informationstheoretische ungleichung und ihre anwendung auf den bewis der ergodizität von markhoffschen kette
Csiszàr, I. (1963) · 1963
Earlier work this paper cites.
Mathematics and the picturing of data
Tukey, J. W. (1975) · 1975
Earlier work this paper cites.
The ordering of multivariate data
Barnett, V. (1976) · 1976
Earlier work this paper cites.
Breakdown of covariance estimators
Stahel, W. A. (1981) · 1981
Earlier work this paper cites.
Breakdown properties of location estimators
Donoho, D. L. (1982) · 1982
Earlier work this paper cites.
The notion of breakdown point
Donoho, D. L. and Hubert, P. J. (1983) · 1983
Earlier work this paper cites.
Descriptive statistics for multivariate distributions
Oja, H. (1983) · 1983
Earlier work this paper cites.
Comparing partitions
Hubert, L. and Arabie, P. (1985) · 1985
Earlier work this paper cites.
On a notion of data depth based on random simplices
Liu, R. Y. (1990) · 1990
Earlier work this paper cites.
Probability Metrics and the Stability of Stochastic Models
Rachev, S. (1991) · 1991
Earlier work this paper cites.
Breakdown properties of location estimates based on half space depth and projected outlyingness
Donoho, D. L. and Gasko, M. (1992) · 1992
Earlier work this paper cites.
Generalized quantile process
Einhmahl, J. H. and Mason, D. M. (1992) · 1992
Earlier work this paper cites.
Data Depth and Multivariate Rank Tests
Liu, R. Y. (1992) · 1992
Earlier work this paper cites.
A quality index based on data depth and multivariate rank tests
Liu, R. Y. and Singh, K. (1993) · 1993
Earlier work this paper cites.
Convex Bodies: The Brunn-Minkowski Theory
Schneider, R. (1993) · 1993
Earlier work this paper cites.
On spatial quantiles
Koltchinskii, V. I. and Dudley, R. M. (1996) · 1996
Earlier work this paper cites.
Computing location depth and regression depth in higher dimensions
Rousseeuw, P. J. and Struyf, A. (1998) · 1998
Earlier work this paper cites.
Convergence of probability measures (2nd ed.)
Billingsley, P. (1999) · 1999
Earlier work this paper cites.
Regression depth
Rousseeuw, P. J. and Hubert, M. (1999) · 1999
Earlier work this paper cites.
The depth function of a population distribution
Rousseeuw, P. J. and Rutz, I. (1999) · 1999
Earlier work this paper cites.
Normalized cuts and image segmentation
Shi, J. and Malik, J. (2000) · 2000
Earlier work this paper cites.
General notions of statistical depth function
Zuo, B. and Serfling, R. (2000) · 2000
Earlier work this paper cites.
On measuring the distance between histograms
Cha, S. and Srihari, S. N. (2002) · 2002
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Papineni, K., Roukos, S., Ward, T., and Zhu, W.-J. (2002) · 2002
Earlier work this paper cites.
Learning by semantic similarity makes abstractive summarization better
Yoon, W., Yeo, Y. S., Jeong, M., Yi, B.-J., and Kang, J. (2020) · 2002
Earlier work this paper cites.
Images as bags of pixels
Jebara, T. (2003) · 2003
Earlier work this paper cites.
A novel string-to-string distance measure with applications to machine translation evaluation
Leusch, G., Ueffing, N., Ney, H., et al. (2003) · 2003
Earlier work this paper cites.
Information theory, inference and learning algorithms
MacKay, D. J. C. (2003) · 2003
Earlier work this paper cites.
Precision and recall of machine translation
Melamed, I. D., Green, R., and Turian, J. (2003) · 2003
Earlier work this paper cites.
Topics in Optimal Transportation
Villani, C. (2003) · 2003
Earlier work this paper cites.
Projected based depth functions and associated medians
Zuo (2003) · 2003
Cited alongside, same era.
Data depth satisfying the projection property
Dyckerhoff, R. (2004) · 2004
Cited alongside, same era.
Clustering and classification based on the l1 data depth
Jörnsten, R. (2004) · 2004
Cited alongside, same era.
ROUGE: A package for automatic evaluation of summaries
Lin, C.-Y. (2004) · 2004
Cited alongside, same era.
Evaluating content selection in summarization: The pyramid method
Nenkova, A. and Passonneau, R. J. (2004) · 2004
Cited alongside, same era.
Heterogeneous graph neural networks for extractive document summarization
Wang, D., Liu, P., Zheng, Y., Qiu, X., and Huang, X. (2020) · 2004
Cited alongside, same era.
Creating training corpora for nlg micro-planning
Gardent, C., Shimorina, A., Narayan, S., and Perez-Beltrachini, L. (2017) · 2017
Later among the works it cites.
On a general definition of depth for functional data
Gijbels, I. and Nagy, S. (2017) · 2017
Later among the works it cites.
Zonoid trimming for multivariate distributions
Koshevoy, G. and Mosler, K. (1997) · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
See, A., Liu, P. J., and Manning, C. D. (2017) · 2017
Later among the works it cites.
Fast abstractive summarization with reinforce-selected sentence rewriting
Chen, Y.-C. and Bansal, M. (2018) · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Extractive summarization as text matching
Zhong, M., Liu, P., Chen, Y., Wang, D., Qiu, X., and Huang, X. (2020) · 2004
Cited alongside, same era.
Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Banerjee, S. and Lavie, A. (2005) · 2005
Cited alongside, same era.
CDER: Efficient MT evaluation using block movements
Leusch, G., Ueffing, N., and Ney, H. (2006) · 2006
Cited alongside, same era.
Depth functions in nonparametric multivariate inference
Serfling, R. (2006) · 2006
Cited alongside, same era.
A study of translation edit rate with targeted human annotation
Snover, M., Dorr, B., Schwartz, R., Micciulla, L., and Makhoul, J. (2006) · 2006
Cited alongside, same era.
Dbpedia: A nucleus for a web of open data
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., and Ives, Z. (2007) · 2007
Cited alongside, same era.
Chizat, L., Peyré, G., Schmitzer, B., and Vialard, F.-X. (2018) · 2018
Later among the works it cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018) · 2018
Later among the works it cites.
Enriching the webnlg corpus
Ferreira, T. C., Moussallem, D., Krahmer, E., and Wubben, S. (2018) · 2018
Later among the works it cites.
Bottom-up abstractive summarization
Gehrmann, S., Deng, Y., and Rush, A. (2018) · 2018
Later among the works it cites.
Content selection in deep learning models of summarization
Kedzie, C., McKeown, K., and Daume III, H. (2018) · 2018
Later among the works it cites.
Ranking sentences for extractive summarization with reinforcement learning
Narayan, S., Cohen, S. B., and Lapata, M. (2018) · 2018
Later among the works it cites.
Halfspace depths for scatter, concentration and shape matrices
Paindaveine, D. and Van Bever, G. (2018) · 2018
Later among the works it cites.
Deep contextualized word representations
Peters, M. E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., and Zettlemoyer, L. (2018) · 2018
Later among the works it cites.
Anomaly detection by robust statistics
Rousseeuw, P. J. and Hubert, M. (2018) · 2018
Later among the works it cites.
Disney at iest 2018: Predicting emotions using an ensemble
Witon, W., Colombo, P., Modi, A., and Kapadia, M. (2018) · 2018
Later among the works it cites.
Neural document summarization by jointly learning to score and select sentences
Zhou, Q., Yang, N., Wei, F., Huang, S., Zhou, M., and Zhao, T. (2018) · 2018
Later among the works it cites.
Concentration of the empirical level sets of tukey’s halfspace depth
Brunel, V.-E. (2019) · 2019
Later among the works it cites.
Sentence mover’s similarity: Automatic evaluation for multi-sentence texts
Clark, E., Celikyilmaz, A., and Smith, N. A. (2019) · 2019
Later among the works it cites.
BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019) · 2019
Later among the works it cites.
Generalized sliced wasserstein distance
Kolouri, S., Nadjahi, K., Umut, S., Badeau, R., and Rohde K., G. (2019) · 2019
Later among the works it cites.
Halfspace depth does not characterize probability distributions
Nagy, S. (2019) · 2019
Later among the works it cites.
Statistical aspects of wasserstein distances
Panaretos, V. M. and Zemel, Y. (2019) · 2019
Later among the works it cites.
Subspace robust Wasserstein distances
Paty, F.-P. and Cuturi, M. (2019) · 2019
Later among the works it cites.
Computational optimal transport
Peyré, G. and Cuturi, M. (2019) · 2019
Later among the works it cites.
Depth and depth-based classification with R-Package ddalpha
Pokotylo, O., Mozharovskyi, P., and Dyckerhoff, R. (2019) · 2019
Later among the works it cites.
Integrated rank-weighted depth
Ramsay, K., Durocher, S., and Leblanc, A. (2019) · 2019
Later among the works it cites.
Functional isolation forest
Staerman, G., Mozharovskyi, P., Clémençon, S., and d’Alché Buc, F. (2019) · 2019
Later among the works it cites.
Eed: Extended edit distance measure for machine translation
Stanchev, P., Wang, W., and Ney, H. (2019) · 2019
Later among the works it cites.
How to evaluate machine translation: A review of automated and human metrics
Chatzikoumi, E. (2020) · 2020
Later among the works it cites.
Guiding attention in sequence-to-sequence models for dialogue act prediction
Colombo, P., Chapuis, E., Manica, M., Vignon, E., Varni, G., and Clavel, C. (2020) · 2020
Later among the works it cites.
The 2020 bilingual, bi-directional webnlg+ shared task overview and evaluation results (webnlg+ 2020)
Ferreira, T., Gardent, C., Ilinykh, N., van der Lee, C., Mille, S., Moussallem, D., and Shimorina, A. (2020) · 2020
Later among the works it cites.
Depth for curve data and applications
Lafaye, P., Mozharovskyi, P., and Vimond, M. (2020) · 2020
Later among the works it cites.
Robust machine learning by median-of-means: Theory and practice
Lecué, G. and Lerasle, M. (2020) · 2020
Later among the works it cites.
Uniform convergence rates for the approximated halfspace and projection depth
Nagy, S., Dyckerhoff, R., and Mozharovskyi, P. (2020) · 2020
Later among the works it cites.
The area of the convex hull of sampled curves: a robust functional statistical depth measure
Staerman, G., Mozharovskyi, P., and Clémençon, S. (2020) · 2020
Later among the works it cites.
Pegasus: Pre-training with extracted gap-sentences for abstractive summarization
Zhang, J., Zhao, Y., Saleh, M., and Liu, P. (2020) · 2020
Later among the works it cites.
Depth and outliers for samples of sets and random sets distributions
Cascos, I., Li, Q., and Molchanov, I. (2021) · 2021
Closest in time.
Code-switched inspired losses for generic spoken dialog representations
Chapuis, E., Colombo, P., Labeau, M., and Clave, C. (2021) · 2021
Closest in time.
Approximate computation of projection depths
Dyckerhoff, R., Mozharovskyi, P., and Nagy, S. (2021) · 2021
Closest in time.
Generalization bounds in the presence of outliers: a median-of-means study
Laforgue, P., Staerman, G., and Clémençon, S. (2021) · 2021
Closest in time.
Choosing among notions of depth for multivariate data
Mosler, K. and Mozharovskyi, P. (2021) · 2021
Closest in time.
Illumination depth
Nagy, S. and Dvořák, J. (2021) · 2021
Closest in time.
Functional anomaly detection and robust estimation
Staerman, G. (2022) · 2022
Closest in time.
Functional anomaly detection: a benchmark study
Staerman, G., Adjakossa, E., Mozharovskyi, P., Hofer, V., Gupta, J. S., and Clémençon, S. (2022) · 2022
Closest in time.