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VivesDebate: A New Annotated Multilingual Corpus of Argumentation in a Debate Tournament ...
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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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A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ...
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Universal Dependencies ...
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Abstract:
Read the paper on the folowing link: https://www.aclweb.org/anthology/2020.lrec-1.497/ https://direct.mit.edu/coli/article/doi/10.1162/colia00402/98516/Universal-Dependencies Abstract: Universal dependencies (UD) is a framework for morphosyntactic annotation of human language, which to date has been used to create treebanks for more than 100 languages. In this article, we outline the linguistic theory of the UD framework, which draws on a long tradition of typologically oriented grammatical theories. Grammatical relations between words are centrally used to explain how predicate--argument structures are encoded morphosyntactically in different languages while morphological features and part-of-speech classes give the properties of words. We argue that this theory is a good basis for cross-linguistically consistent annotation of typologically diverse languages in a way that supports computational natural language understanding as well as broader linguistic studies. ...
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Keyword:
Artificial Intelligence; Computer Science and Engineering; Intelligent System; Natural Language Processing
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URL: https://underline.io/lecture/19924-universal-dependencies https://dx.doi.org/10.48448/v4am-ch68
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Developing Conversational Data and Detection of Conversational Humor in Telugu ...
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An Information-Theoretic Characterization of Morphological Fusion ...
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Navigating the Kaleidoscope of COVID-19 Misinformation Using Deep Learning ...
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(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys ...
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Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach ...
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Rewards with Negative Examples for Reinforced Topic-Focused Abstractive Summarization ...
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Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training ...
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Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining ...
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