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Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations ...
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Analysis of Language Change in Collaborative Instruction Following ...
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Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora ...
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Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching ...
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Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph ...
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Abstract:
In cross-lingual text classification, it is required that task-specific training data in high-resource source languages are available, where the task is identical to that of a low-resource target language. However, collecting such training data can be infeasible because of the labeling cost, task characteristics, and privacy concerns. This paper proposes an alternative solution that uses only task-independent word embeddings of high-resource languages and bilingual dictionaries. First, we construct a dictionary-based heterogeneous graph (DHG) from bilingual dictionaries. This opens the possibility to use graph neural networks for cross-lingual transfer. The remaining challenge is the heterogeneity of DHG because multiple languages are considered. To address this challenge, we propose dictionary-based heterogeneous graph neural network (DHGNet) that effectively handles the heterogeneity of DHG by two-step aggregations, which are word-level and language-level aggregations. Experimental results demonstrate that ...
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URL: https://dx.doi.org/10.48448/z3mn-wh19 https://underline.io/lecture/38381-cross-lingual-transfer-for-text-classification-with-dictionary-based-heterogeneous-graph
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NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset ...
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An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ...
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SD-QA: Spoken Dialectal Question Answering for the Real World ...
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Plan-then-Generate: Controlled Data-to-Text Generation via Planning ...
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Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems ...
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Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication ...
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Live Session - 4E: Phonology, Morphology and Word Segmentation ...
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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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