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USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation ...
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Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations ...
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Abstract:
Multilingual representations pre-trained with monolingual data exhibit considerably unequal task performances across languages. Previous studies address this challenge with resource-intensive contextualized alignment, which assumes the availability of large parallel data, thereby leaving under-represented language communities behind. In this work, we attribute the data hungriness of previous alignment techniques to two limitations: (i) the inability to sufficiently leverage data and (ii) these techniques are not trained properly. To address these issues, we introduce supervised and unsupervised density-based approaches named Real-NVP and GAN-Real-NVP, driven by Normalizing Flow, to perform alignment, both dissecting the alignment of multilingual subspaces into density matching and density modeling. We complement these approaches with our validation criteria in order to guide the training process. Our experiments encompass 16 alignments, including our approaches, evaluated across 6 language pairs, synthetic ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2201.13429 https://arxiv.org/abs/2201.13429
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Towards Explainable Evaluation Metrics for Natural Language Generation ...
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End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
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Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset ...
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BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks ...
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Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors ...
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Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors ...
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Inducing Language-Agnostic Multilingual Representations ...
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Probing Multilingual BERT for Genetic and Typological Signals ...
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On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ...
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How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation ...
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Vec2Sent: Probing Sentence Embeddings With Natural Language Generation ...
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From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks ...
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On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation
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On aligning OpenIE extractions with Knowledge Bases: A case study
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Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry ...
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Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! ...
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What is the Essence of a Claim? Cross-Domain Claim Identification ...
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