SCIE clase 1

Bitext Correspondences through Rich Mark-up

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Multilingual Document Clustering: an Heuristic Approach Based on Cognate Named Entities. Tipo de participación: Presentación

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A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

http://www.aclweb.org/anthology/P18-1073

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Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations

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Robust Multilingual Named Entity Recognition with Shallow Semi-supervised Features (Extended Abstract)

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Learning bilingual word embeddings with (almost) no bilingual data

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Information Seeking in Digital Cultural Heritage with PATHS

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Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguatio

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Building accurate semantic taxonomies from monolingual MRDs

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Robustness and Generalization of Role Sets: PropBank vs. VerbNet

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