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Found 19 papers, 3 papers with code
Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
We present edition 1. 2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs).
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
Compared with existing solutions, which either neglect geometric relationships among targeting objects or capture the relationships by using complicated aggregation schemes, the proposed network is capable of achieving satisfactory accuracy while maintaining real-time performance by taking full advantage of the spatial relations among landmarks.
Modeling Morphological Typology for Unsupervised Learning of Language Morphology
This paper describes a language-independent model for fully unsupervised morphological analysis that exploits a universal framework leveraging morphological typology.
Morphological Segmentation for Low Resource Languages
This paper describes a new morphology resource created by Linguistic Data Consortium and the University of Pennsylvania for the DARPA LORELEI Program.
Unsupervised Morphology Learning with Statistical Paradigms
This paper describes an unsupervised model for morphological segmentation that exploits the notion of paradigms, which are sets of morphological categories (e. g., suffixes) that can be applied to a homogeneous set of words (e. g., nouns or verbs).
Database of Mandarin Neighborhood Statistics
In the design of controlled experiments with language stimuli, researchers from psycholinguistic, neurolinguistic, and related fields, require language resources that isolate variables known to affect language processing.
A Grammar-informed Corpus-based Sentence Database for Linguistic and Computational Studies
We adopt the corpus-informed approach to example sentence selections for the construction of a reference grammar.
