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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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Abstract:
Entity recognition provides semantic access to ancient materials in the Digital Humanities: it exposes people and places of interest in texts that cannot be read exhaustively, facilitates linking resources and can provide a window into text contents, even for texts with no translations. In this paper we present entity recognition for Coptic, the language of Hellenistic era Egypt. We evaluate NLP approaches to the task and lay out difficulties in applying them to a low-resource, morphologically complex language. We present solutions for named and non-named nested entity recognition and semi-automatic entity linking to Wikipedia, relying on robust dependency parsing, feature-based CRF models, and hand-crafted knowledge base resources, enabling high accuracy NER with orders of magnitude less data than those used for high resource languages. The results suggest avenues for research on other languages in similar settings. ...
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Keyword:
Computer and Information Science; Natural Language Processing; Social Sciences and Humanities
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URL: https://dx.doi.org/10.48448/dae9-r773 https://underline.io/lecture/6444-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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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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