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Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement
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Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
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In: Transactions of the Association for Computational Linguistics (2018)
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Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs
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Embedding Learning Through Multilingual Concept Induction ...
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Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging ...
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Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages ...
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Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable ...
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Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing ...
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A Stronger Baseline for Multilingual Word Embeddings ...
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Abstract:
Levy, Søgaard and Goldberg’s (2017) S-ID (sentence ID) method applies word2vec on tuples containing a sentence ID and a word from the sentence. It has been shown to be a strong baseline for learning multilingual embeddings. Inspired by recent work on concept based embedding learning we propose SC-ID, an extension to S-ID: given a sentence aligned corpus, we use sampling to extract concepts that are then processed in the same manner as S-IDs. We perform experiments on the Parallel Bible Corpus across 1000+ languages and show that SC-ID yields up to 6% performance increase in a word translation task. In ad- dition, we provide evidence that SC-ID is easily and widely applicable by reporting competitive results across 8 tasks on a EuroParl based corpus. ...
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Keyword:
000; 004; 400; 410
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URL: https://epub.ub.uni-muenchen.de/id/eprint/61864 https://dx.doi.org/10.5282/ubm/epub.61864
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Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing ...
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Embedding Learning Through Multilingual Concept Induction ...
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Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts ...
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Joint Bootstrapping Machines for High Confidence Relation Extraction ...
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