A Gold Standard Dependency Treebank for Turkish (2020.lrec-1)

Copied to clipboard

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.
Outcome: The proposed treebank is the largest publicly available morpho-syntactic treebank in terms of word count and has a dedicated Wikipedia section.

Similar Papers

A Learning-Based Dependency to Constituency Conversion Algorithm for the Turkish Language (2022.lrec-1)

Copied to clipboard

Challenge: a team of linguists manually annotated a set of constituency trees.
Approach: They propose to create the first Turkish-based dependency-to-constituency conversion algorithm using a morphologic analyser and feature-based machine learning model.
Outcome: The proposed algorithm can be used to generate new constituency treebanks and training data for NLP resources like constituency parsers.
Parser Training with Heterogeneous Treebanks (P18-2)

Copied to clipboard

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.
Approach: They propose a method to make the most of heterogeneous treebanks when training a monolingual parser.
Outcome: The proposed method improves on training with multiple treebanks for a single language.
TwittIrish: A Universal Dependencies Treebank of Tweets in Modern Irish (2022.acl-long)

Copied to clipboard

Challenge: Modern Irish is a minority language lacking computational resources for accurate automatic syntactic parsing of user-generated content.
Approach: They propose to use a treebank to facilitate natural language parsing of user-generated content in Irish.
Outcome: The proposed treebank enables natural language processing of user-generated content in Irish.
Dependency Tree Annotation with Mechanical Turk (D19-59)

Copied to clipboard

Challenge: a recent study shows that crowdsourcing is often used to obtain linguistic annotations but is rarely used for parsing.
Approach: They propose to use Mechanical Turk to crowdsource parse trees using an interactive graphical dependency tree editor.
Outcome: The proposed method is the first published use of Mechanical Turk to crowdsource parse trees . the authors find that the workers achieve high levels of accuracy on 72% of the sentences .
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection (2020.lrec-1)

Copied to clipboard

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.
A Universal Dependencies Treebank of Ancient Hebrew (2022.lrec-1)

Copied to clipboard

Challenge: Using a rule-based parser, we construct a treebank with morphological annotations of Ancient Hebrew . the Hebrew Scriptures are a collection of 39 books written in the first millennium BC in Ancient Hebrew.
Approach: They propose to use a Universal Dependencies treebank with morphological annotations of Ancient Hebrew for comparative study with ancient translations and analysis of Hebrew syntax.
Outcome: The proposed treebank can be used in comparative study with ancient translations and analysis of Hebrew syntax.
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell (2020.acl-main)

Copied to clipboard

Challenge: a treebank for a north-African Arabic dialect known for code-switching is made freely available . authors: geopolitical events are a factor highlighting a language deficiency in terms of natural language processing resources .
Approach: They propose to make a treebank for a romanized user-generated content variety of Algerian . they supplement it with 50k unlabeled sentences from common crawl and web-crawled data .
Outcome: The proposed treebank is made of 1500 sentences, fully annotated in morpho-syntax and universal dependency syntax, with full translation at both the word and sentence levels.
BKTreebank: Building a Vietnamese Dependency Treebank (L18-1)

Copied to clipboard

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.
Treebank Embedding Vectors for Out-of-Domain Dependency Parsing (2020.acl-main)

Copied to clipboard

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 .
Outcome: The proposed method can predict treebank vectors for sentences that do not come from a treebank used in training with sufficient accuracy for nine out of ten languages.
Camel Treebank: An Open Multi-genre Arabic Dependency Treebank (2022.lrec-1)

Copied to clipboard

Challenge: CAMELTB is an open-source dependency treebank of Arabic with 13 sub-corpora . texts are publicly available (out of copyright, creative commons, or under open licenses)
Approach: They present the Camel Treebank, a 188K word open-source dependency treebank of Arabic.
Outcome: The CAMELTB is a 188K word open-source dependency treebank of Arabic . the texts are publicly available (out of copyright, creative commons, or under open licenses)

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations