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USCORE: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation ...
Belouadi, Jonas; Eger, Steffen. - : arXiv, 2022
Abstract: The vast majority of evaluation metrics for machine translation are supervised, i.e., (i) assume the existence of reference translations, (ii) are trained on human scores, or (iii) leverage parallel data. This hinders their applicability to cases where such supervision signals are not available. In this work, we develop fully unsupervised evaluation metrics. To do so, we leverage similarities and synergies between evaluation metric induction, parallel corpus mining, and MT systems. In particular, we use an unsupervised evaluation metric to mine pseudo-parallel data, which we use to remap deficient underlying vector spaces (in an iterative manner) and to induce an unsupervised MT system, which then provides pseudo-references as an additional component in the metric. Finally, we also induce unsupervised multilingual sentence embeddings from pseudo-parallel data. We show that our fully unsupervised metrics are effective, i.e., they beat supervised competitors on 4 out of our 5 evaluation datasets. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2202.10062
https://dx.doi.org/10.48550/arxiv.2202.10062
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2
Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations ...
Zhao, Wei; Eger, Steffen. - : arXiv, 2022
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3
Towards Explainable Evaluation Metrics for Natural Language Generation ...
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4
End-to-end style-conditioned poetry generation: What does it take to learn from examples alone? ...
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5
Better than Average: Paired Evaluation of NLP systems ...
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6
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset ...
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7
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks ...
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8
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors ...
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9
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors ...
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10
Inducing Language-Agnostic Multilingual Representations ...
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11
Probing Multilingual BERT for Genetic and Typological Signals ...
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12
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ...
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13
How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation ...
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14
Vec2Sent: Probing Sentence Embeddings With Natural Language Generation ...
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15
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks ...
Eger, Steffen; Benz, Yannik. - : arXiv, 2020
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16
On the limitations of cross-lingual encoders as exposed by reference-free machine translation evaluation
Zhao, Wei; Glavaš, Goran; Peyrard, Maxime. - : Association for Computational Linguistics, 2020
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17
On aligning OpenIE extractions with Knowledge Bases: A case study
Gashteovski, Kiril; Gemulla, Rainer; Kotnis, Bhushan. - : Association for Computational Linguistics (ACL), 2020
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18
Semantic Change and Emerging Tropes In a Large Corpus of New High German Poetry ...
Haider, Thomas; Eger, Steffen. - : arXiv, 2019
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19
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! ...
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20
What is the Essence of a Claim? Cross-Domain Claim Identification ...
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