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Hits 1 – 19 of 19

1
An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization ...
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2
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ...
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3
Truth-Conditional Captions for Time Series Data ...
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4
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ...
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5
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs ...
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6
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness ...
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7
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories ...
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8
Scalable Font Reconstruction with Dual Latent Manifolds ...
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9
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation ...
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10
Neural Representation Learning for Scribal Hands of Linear B ...
Abstract: In this work, we present an investigation into the use of neural feature extraction in performing scribal hand analysis of the Linear B writing system. While prior work has demonstrated the usefulness of strategies such as phylogenetic systematics in tracing Linear B's history, these approaches have relied on manually extracted features which can be very time consuming to define by hand. Instead we propose learning features using a fully unsupervised neural network that does not require any human annotation. Specifically our model assigns each glyph written by the same scribal hand a shared vector embedding to represent that author's stylistic patterns, and each glyph representing the same syllabic sign a shared vector embedding to represent the identifying shape of that character. Thus the properties of each image in our dataset are represented as the combination of a scribe embedding and a sign embedding. We train this model using both a reconstructive loss governed by a decoder that seeks to reproduce ... : ICDAR 2021 Workshop on Computational Paleography (1st edition) ...
Keyword: Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2108.04199
https://arxiv.org/abs/2108.04199
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11
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods ...
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12
Phonetic and Visual Priors for Decipherment of Informal Romanization ...
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13
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
In: Proceedings of the Society for Computation in Linguistics (2020)
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14
A Bilingual Generative Transformer for Semantic Sentence Embedding ...
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15
Learning Rhyming Constraints using Structured Adversaries ...
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16
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ...
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17
Visual Referring Expression Recognition: What Do Systems Actually Learn? ...
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18
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints ...
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19
Phylogenetic grammar induction
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1288-1297
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