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Character Alignment in Morphologically Complex Translation Sets for Related Languages ...
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Composing Byte-Pair Encodings for Morphological Sequence Classification ...
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Variation in Universal Dependencies annotation: A token based typological case study on adpossessive constructions ...
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Corpus evidence for word order freezing in Russian and German ...
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Noise Isn't Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models ...
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Exhaustive Entity Recognition for Coptic - Challenges and Solutions ...
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Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ...
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Attentively Embracing Noise for Robust Latent Representation in BERT ...
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Classifier Probes May Just Learn from Linear Context Features ...
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Seeing the world through text: Evaluating image descriptions for commonsense reasoning in machine reading comprehension ...
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Part 6 - Cross-linguistic Studies ...
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Abstract:
This is an introductory tutorial to UCCA (Universal Conceptual Cognitive Annotation), a cross-linguistically applicable framework for semantic representation, with corpora annotated in English, German and French, and ongoing annotation in Russian and Hebrew. UCCA builds on extensive typological work and supports rapid annotation. The tutorial will provide a detailed introduction to the UCCA annotation guidelines, design philosophy and the available resources; and a comparison to other meaning representations. It will also survey the existing parsing work, including the findings of three recent shared tasks, in SemEval and CoNLL, that addressed UCCA parsing. Finally, the tutorial will present recent applications and extensions to the scheme, demonstrating its value for natural language processing in a range of languages and domains. ...
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Keyword:
Computer and Information Science; Information and Knowledge Engineering; Intelligent System; Natural Language Processing; Neural Network
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URL: https://underline.io/lecture/8429-part-6---cross-linguistic-studies https://dx.doi.org/10.48448/xg5w-r689
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Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information ...
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HMSid and HMSid2 at PARSEME Shared Task 2020: Computational Corpus Linguistics and unseen-in-training MWEs ...
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Multi-dialect Arabic BERT for Country-level Dialect Identification ...
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Exploring End-to-End Differentiable Natural Logic Modeling ...
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