BKTreebank: Building a Vietnamese Dependency Treebank (L18-1)

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Challenge: In this paper, we present the building of a dependency treebank for Vietnamese .
Approach: They propose to build a Vietnamese dependency treebank using automatic taggers and automatic tagging.
Outcome: The proposed treebank is a useful resource for Vietnamese language processing.

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Building Universal Dependency Treebanks in Korean (L18-1)

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Challenge: Several treebanks were introduced for Korean, all of which comprised annotation of morphemes and phrase structure trees, each following its own set of guidelines.
Approach: They propose to use Korean treebanks as dependency trees and to analyze their performance using morpheme-level annotations.
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A Gold Standard Dependency Treebank for Turkish (2020.lrec-1)

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Challenge: Currently, Turkish treebanks are limited due to the limited number of annotated sentences in the domains of Wikipedia and ITU Web Treebanks.
Approach: They propose to annotate Turkish web and Wikipedia sentences for segmentation, morphology, part-of-speech and dependency relations using tagsets and a Wikipedia section.
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Parser Training with Heterogeneous Treebanks (P18-2)

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Challenge: In the 2017 CoNLL Shared Task on Universal Dependency Parsing, 25 languages have more than one treebank . many teams did not take advantage of the multiple treebanks, however, and trained one model per treebank instead of one model for each language.
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Universal Dependencies for Punjabi (2022.lrec-1)

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Challenge: UD is a community project that maintains a standard scheme for the annotation of grammar in a cross-lingually consistent manner.
Approach: They propose a Universal Dependencies treebank for Punjabi written in the Gurmukhi script and discuss corpus design and linguistic phenomena encountered in annotation.
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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.
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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.
The Persian Dependency Treebank Made Universal (2022.lrec-1)

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Challenge: Existing universal dependency treebanks are lacking sufficient annotated data.
Approach: They propose a method for converting Persian Dependency Treebank to Universal Dependencies using an automatic method.
Outcome: The proposed method is more compatible with Universal Dependencies than the Uppsala Persian Universal Dependency Treebank.
Establishing a New State-of-the-Art for French Named Entity Recognition (2020.lrec-1)

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Challenge: Named entity recognition (NER) is a task consisting in identifying text spans that denote named entities such as person, location and organization names.
Approach: They manually annotated the French TreeBank with information related to named entities . they sketch the underlying annotation guidelines and provide a few figures about the annotations .
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Treebank Embedding Vectors for Out-of-Domain Dependency Parsing (2020.acl-main)

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Challenge: a recent advance in monolingual dependency parsing is the idea of a treebank embedding vector . this allows the model to prefer training data from one treebank over another at test time .
Approach: They propose a method to predict a treebank vector for sentences that do not come from a particular treebank . they also explore what happens when they move away from predefined treebank embedding vectors .
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Cheating a Parser to Death: Data-driven Cross-Treebank Annotation Transfer (L18-1)

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Challenge: Using annotated corpus for linguistic purposes is no longer justified . hand-crafted syntactic resources such as grammars and lexicons can be used as sources of features to guide data driven systems.
Approach: They propose an efficient method for transferring annotations between two different treebanks of the same language.
Outcome: The proposed method is based on the Universal Dependency annotation scheme and was evaluated on the gold standard (94.75% of LAS, 99.40% UAS on the test set).

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