Challenge: a new collection of quality language resources is presented for the computational processing of the Portuguese language . the framework for the mapping between linguistic form and meaning is centered on the notion of grammatical relation .
Approach: They propose a new set of quality language resources for the computational processing of the Portuguese language under the Universal Dependencies framework.
Outcome: The proposed framework provides for the mapping between linguistic form and meaning representations.

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PortiLexicon-UD: a Portuguese Lexical Resource according to Universal Dependencies Model (2022.lrec-1)

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Challenge: lexical resource for Brazilian Portuguese with 1,221,218 entries, according to the Universal Dependencies model and guidelines.
Approach: They propose to build a large and freely available lexicon for Portuguese that delivers morphosyntactic information according to the Universal Dependencies model.
Outcome: The proposed lexical resource has high language coverage and good quality data.
UCxn: Typologically-Informed Annotation of Constructions Atop Universal Dependencies (2024.lrec-main)

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Challenge: Grammatical constructions that convey meaning through a particular combination of several morphosyntactic elements are not labeled holistically.
Approach: They propose to augment UD annotations with a ‘UCxn’ annotation layer for such meaning-bearing grammatical constructions and to approach this in a typologically informed way so that morphosyntactic strategies can be compared across languages.
Outcome: The proposed annotation layer could be used to annotate meaning-bearing constructions across languages and to compare them across languages.
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection (2020.lrec-1)

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Challenge: Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages.
Approach: They describe version 2 of the universal guidelines and discuss major changes from UD v1 to UD 2 . they propose a morphological layer, a syntactic layer and a word segmentation layer .
Outcome: The proposed treebanks are available for 90 languages and have been updated to meet the needs of multilingual parsers and researchers.
Universal Dependencies Version 2 for Japanese (L18-1)

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Challenge: UD Japanese resources are built on automatic conversion from several treebanks.
Approach: They propose to port the word delimitation, POS, and syntactic relations of existing treebanks to UD Japanese . they discuss the issues of the UD scheme found through porting of the Japanese language .
Outcome: The proposed UD Japanese resources are based on automatic conversion from treebanks.
CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing (L18-1)

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Challenge: Using the universal dependencies framework, we address the need for a universal representation of morphological analysis that can capture alternative morphology of surface tokens and is compatible with the segmentation and morphologic annotation guidelines prescribed for UD treebanks.
Approach: They propose a new annotation format for word lattices that represent morphological analyses and a resource that obeys this format for a range of typologically different languages.
Outcome: The proposed model can capture alternative morphological analyses of surface tokens and is compatible with the segmentation and morphology guidelines prescribed for UD treebanks.
Development of a Multilingual CCG Treebank via Universal Dependencies Conversion (2022.lrec-1)

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Challenge: Combinatory Categorial Grammar (CCG) is a lexicalized grammar formalism that can capture both syntactic and semantic information.
Approach: They propose an algorithm to convert UD treebanks to CCG treebank and propose future extensions.
Outcome: The proposed algorithm performs lexical, sentential, and syntactic rule coverage analysis, as well as CCG parsing experiments.
A multilingual collection of CoNLL-U-compatible morphological lexicons (L18-1)

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Challenge: Existing morphological lexicons are limited in scope and are not universally accepted . morphology lexical information is encoded into morphologists or gathered in lexiconics .
Approach: They propose a multilingual collection of morphological lexicons that follow the Universal Dependencies initiative.
Outcome: The proposed collection of 53 morphological lexicons covers 38 languages . they have been shown to improve part-of-speech tagging and parsing accuracy .
Building a Universal Dependencies Treebank for Occitan (2020.lrec-1)

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Challenge: Low-resourced regional, non-official or minority languages often face lack of institutional support . low-resource languages often find themselves in a similar situation .
Approach: They propose to create the first treebank for Occitan, a low-resourced regional language . they use an agile annotation approach and rely on pre-processing using existing tools .
Outcome: The proposed treebank is the first for the low-resourced regional language Occitan . the project uses an agile annotation approach and automated pre-annotation .
Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling (2021.eacl-main)

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Challenge: Enhanced Universal Dependencies (UD) parses are used to represent syntactic dependencies between words, prioritizing links between content words.
Approach: They propose to use a heuristic rule-based converter to propagate conjuncts from conjunction heads to other conjunctions to determine which set of links to propagation from a semantic perspective.
Outcome: The proposed method outperforms existing methods using basic-layer tree parsers and converters.
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction (2023.findings-acl)

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Challenge: Recent efforts on cross-lingual relation extraction (XRE) leverage language-consistent structural features from the universal dependency resource.
Approach: They propose to construct a type of code-mixed UD forest that combines UD and source-/target-side UD structures to achieve unbiased transfer.
Outcome: The proposed UD forest achieves significant performance gains on ACE XRE benchmark datasets.

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