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Homepage2Vec: Language-Agnostic Website Embedding and Classification ...
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Better than Average: Paired Evaluation of NLP systems ...
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3
Classifying Dyads for Militarized Conflict Analysis ...
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4
Classifying Dyads for Militarized Conflict Analysis
In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
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5
Cognitive Network Topology and Optimization of the Mental Lexicon ...
Burlacu, Adrian; West, Robert. - : Unpublished, 2021
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6
Linguistic effects on news headline success: Evidence from thousands of online field experiments (Registered Report Protocol)
In: PLoS One (2021)
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7
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ...
Abstract: Evaluation of cross-lingual encoders is usually performed either via zero-shot cross-lingual transfer in supervised downstream tasks or via unsupervised cross-lingual textual similarity. In this paper, we concern ourselves with reference-free machine translation (MT) evaluation where we directly compare source texts to (sometimes low-quality) system translations, which represents a natural adversarial setup for multilingual encoders. Reference-free evaluation holds the promise of web-scale comparison of MT systems. We systematically investigate a range of metrics based on state-of-the-art cross-lingual semantic representations obtained with pretrained M-BERT and LASER. We find that they perform poorly as semantic encoders for reference-free MT evaluation and identify their two key limitations, namely, (a) a semantic mismatch between representations of mutual translations and, more prominently, (b) the inability to punish "translationese", i.e., low-quality literal translations. We propose two partial ... : ACL2020 Camera Ready (v3: several small fixes, e.g., Unicode errors) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2005.01196
https://dx.doi.org/10.48550/arxiv.2005.01196
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8
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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9
Robust Cross-lingual Embeddings from Parallel Sentences ...
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10
Crosslingual Document Embedding as Reduced-Rank Ridge Regression ...
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11
Why the World Reads Wikipedia ...
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Why the World Reads Wikipedia ...
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13
Why the World Reads Wikipedia ...
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14
Causal Effects of Brevity on Style and Success in Social Media ...
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15
Message Distortion in Information Cascades
In: http://infoscience.epfl.ch/record/270657 (2019)
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16
Message Distortion in Information Cascades ...
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17
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted despite Making Serious Advances"
In: http://infoscience.epfl.ch/record/271147 (2019)
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18
Why the World Reads Wikipedia: Beyond English Speakers
In: http://infoscience.epfl.ch/record/270302 (2019)
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19
Crosslingual Document Embedding as Reduced-Rank Ridge Regression
In: http://infoscience.epfl.ch/record/263893 (2019)
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20
Churn Intent Detection in Multilingual Chatbot Conversations and Social Media ...
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