• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 103 matches

• 2020
• 
  Dandan Li, Douglas Summers-Stay:
  Dual embeddings and metrics for word and relational similarity. Ann. Math. Artif. Intell. 88(5-6): 533-547 (2020)
• 
  Davide Colla, Enrico Mensa, Daniele Paolo Radicioni:
  Novel metrics for computing semantic similarity with sense embeddings. Knowl. Based Syst. 206: 106346 (2020)
• 
  Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof:
  Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly. IEEE Trans. Pattern Anal. Mach. Intell. 42(2): 276-290 (2020)
• 
  Ananva Mukherjee, Hema Ala, Manish Shrivastava, Dipti Misra Sharma:
  MEE : An Automatic Metric for Evaluation Using Embeddings for Machine Translation. DSAA 2020: 292-299
• 
  Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov:
  Predicting Visual Overlap of Images Through Interpretable Non-metric Box Embeddings. ECCV (5) 2020: 629-646
• 
  Abdul Moeed, Yang An, Gerhard Hagerer, Georg Groh:
  Evaluation Metrics for Headline Generation Using Deep Pre-Trained Embeddings. LREC 2020: 1796-1802
• 
  Fabio Carrara, Claudio Gennaro, Fabrizio Falchi, Giuseppe Amato:
  Learning Distance Estimators from Pivoted Embeddings of Metric Objects. SISAP 2020: 361-368
• 
  Timothy Chu, Gary L. Miller, Donald R. Sheehy:
  Exact computation of a manifold metric, via Lipschitz Embeddings and Shortest Paths on a Graph. SODA 2020: 411-425
• 
  Wanxiang Yang, Yan Yan, Si Chen:
  Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions. CoRR abs/2002.02603 (2020)
• 
  Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov:
  Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings. CoRR abs/2008.05785 (2020)
• 2019
• 
  Wanxiang Yang, Yan Yan, Si Chen:
  Adaptive deep metric embeddings for person re-identification under occlusions. Neurocomputing 340: 125-132 (2019)
• 
  Neil R. Smalheiser, Aaron M. Cohen, Gary Bonifield:
  Unsupervised low-dimensional vector representations for words, phrases and text that are transparent, scalable, and produce similarity metrics that are not redundant with neural embeddings. J. Biomed. Informatics 90 (2019)
• 
  Pratik Jawanpuria, Arjun Balgovind, Anoop Kunchukuttan, Bamdev Mishra:
  Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach. Trans. Assoc. Comput. Linguistics 7: 107-120 (2019)
• 
  Pairui Li, Chuan Chen, Wujie Zheng, Yuetang Deng, Fanghua Ye, Zibin Zheng:
  STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1497-1506 (2019)
• 
  Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit P. Sheth:
  Metrics for Evaluating Quality of Embeddings for Ontological Concepts. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2019
• 
  Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
  A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. ACL (1) 2019: 4952-4962
• 
  Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
  Making Fast Graph-based Algorithms with Graph Metric Embeddings. ACL (1) 2019: 3349-3355
• 
  Diego Ihara, Neshat Mohammadi, Anastasios Sidiropoulos:
  Algorithms for Metric Learning via Contrastive Embeddings. Symposium on Computational Geometry 2019: 45:1-45:14
• 
  Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
  Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. ICCV 2019: 6538-6547
• 
  Elizaveta Yankovskaya, Andre Tättar, Mark Fishel:
  Quality Estimation and Translation Metrics via Pre-trained Word and Sentence Embeddings. WMT (3) 2019: 101-105
• 
  Yoshinari Fujinuma, Jordan L. Boyd-Graber, Michael J. Paul:
  A Resource-Free Evaluation Metric for Cross-Lingual Word Embeddings Based on Graph Modularity. CoRR abs/1906.01926 (2019)
• 
  Andrey Kutuzov, Mohammad Dorgham, Oleksiy Oliynyk, Chris Biemann, Alexander Panchenko:
  Making Fast Graph-based Algorithms with Graph Metric Embeddings. CoRR abs/1906.07040 (2019)
• 
  Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein:
  Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings. CoRR abs/1908.02735 (2019)
• 2018
• 
  Jiangen He, Chaomei Chen:
  Predictive Effects of Novelty Measured by Temporal Embeddings on the Growth of Scientific Literature. Frontiers Res. Metrics Anal. 3: 9 (2018)
• 
  Carl-Johann Simon-Gabriel, Bernhard Schölkopf:
  Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions. J. Mach. Learn. Res. 19: 44:1-44:29 (2018)
• 
  Enrico Santus, Hongmin Wang, Emmanuele Chersoni, Yue Zhang:
  A Rank-Based Similarity Metric for Word Embeddings. ACL (2) 2018: 552-557
• 
  Michael Elkin, Ofer Neiman:
  Near Isometric Terminal Embeddings for Doubling Metrics. Symposium on Computational Geometry 2018: 36:1-36:15
• 
  Chang Xiao, Peilin Zhong, Changxi Zheng:
  BourGAN: Generative Networks with Metric Embeddings. NeurIPS 2018: 2275-2286
• 
  Anguelos Nicolaou, Sounak Dey, Vincent Christlein, Andreas K. Maier, Dimosthenis Karatzas:
  Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings. RRPR 2018: 71-82
• 
  Qingsong Ma, Ondrej Bojar, Yvette Graham:
  Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance. WMT (shared task) 2018: 671-688

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