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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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Rule-based Morphological Inflection Improves Neural Terminology Translation ...
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Translating Headers of Tabular Data: A Pilot Study of Schema Translation ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.5/ Abstract: Schema translation is the task of automatically translating headers of tabular data from one language to another. High-quality schema translation plays an important role in cross-lingual table searching, understanding and analysis. Despite its importance, schema translation is not well studied in the community, and state-of-the-art neural machine translation models cannot work well on this task because of two intrinsic differences between plain text and tabular data: morphological difference and context difference. To facilitate the research study, we construct the first parallel dataset for schema translation, which consists of 3,158 tables with 11,979 headers written in 6 different languages, including English, Chinese, French, German, Spanish, and Japanese. Also, we propose the first schema translation model called CAST, which is a header-to-header neural machine translation model augmented with schema context. Specifically, we ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing
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URL: https://underline.io/lecture/37570-translating-headers-of-tabular-data-a-pilot-study-of-schema-translation https://dx.doi.org/10.48448/e3w6-dn36
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A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
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Developing Conversational Data and Detection of Conversational Humor in Telugu ...
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Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ...
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Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
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Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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HittER: Hierarchical Transformers for Knowledge Graph Embeddings ...
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Ara-Women-Hate: The first Arabic Hate Speech corpus regarding Women ...
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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization ...
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