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Found 47 papers, 2 papers with code
Do UD Trees Match Mention Spans in Coreference Annotations?
One can find dozens of data resources for various languages in which coreference - a relation between two or more expressions that refer to the same real-world entity - is manually annotated.
From Raw Text to Enhanced Universal Dependencies: The Parsing Shared Task at IWPT 2021
We describe the second IWPT task on end-to-end parsing from raw text to Enhanced Universal Dependencies.
CorefUD 1.0: Coreference Meets Universal Dependencies
Recent advances in standardization for annotated language resources have led to successful large scale efforts, such as the Universal Dependencies (UD) project for multilingual syntactically annotated data.
Sentence Meaning Representations Across Languages: What Can We Learn from Existing Frameworks?
This article gives an overview of how sentence meaning is represented in eleven deep-syntactic frameworks, ranging from those based on linguistic theories elaborated for decades to rather lightweight NLP-motivated approaches.
Universal Dependencies for Albanian
In this paper, we introduce the first Universal Dependencies (UD) treebank for standard Albanian, consisting of 60 sentences collected from the Albanian Wikipedia, annotated with lemmas, universal part-of-speech tags, morphological features and syntactic dependencies.
A Unified Taxonomy of Deep Syntactic Relations
This paper analyzes multiple deep-syntactic frameworks with the goal of creating a proposal for a set of universal semantic role labels.
Findings of the Shared Task on Multilingual Coreference Resolution
The public edition of CorefUD 1. 0, which contains 13 datasets for 10 languages, was used as the source of training and evaluation data.
MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing
Extending a similar setup from the previous year, five distinct approaches to the representation of sentence meaning in the form of directed graphs were represented in the English training and evaluation data for the task, packaged in a uniform graph abstraction and serialization; for four of these representation frameworks, additional training and evaluation data was provided for one additional language per framework.
FGD at MRP 2020: Prague Tectogrammatical Graphs
Prague Tectogrammatical Graphs (PTG) is a meaning representation framework that originates in the tectogrammatical layer of the Prague Dependency Treebank (PDT) and is theoretically founded in Functional Generative Description of language (FGD).
Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task
We present our submission to the SIGTYP 2020 Shared Task on the prediction of typological features.
Overview of the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
This overview introduces the task of parsing into enhanced universal dependencies, describes the datasets used for training and evaluation, and evaluation metrics.
Yor\`ub\'a Dependency Treebank (YTB)
Low-resource languages present enormous NLP opportunities as well as varying degrees of difficulties.
Universal Dependency Treebanks for Low-Resource Indian Languages: The Case of Bhojpuri
This paper presents the first dependency treebank for Bhojpuri, a resource-poor language that belongs to the Indo-Aryan language family.
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages within a dependency-based lexicalist framework.
\'UFAL-Oslo at MRP 2019: Garage Sale Semantic Parsing
This paper describes the {\'U}FAL--Oslo system submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP, Oepen et al. 2019).
CUNI--Malta system at SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context: Operation-based word formation
This paper presents the submission by the Charles University-University of Malta team to the SIGMORPHON 2019 Shared Task on Morphological Analysis and Lemmatization in context.
Mind the Gap: Data Enrichment in Dependency Parsing of Elliptical Constructions
In this paper, we focus on parsing rare and non-trivial constructions, in particular ellipsis.
Challenges in Converting the Index Thomisticus Treebank into Universal Dependencies
The changes are made both to harmonise the Universal Dependencies version of the \textit{Index Thomisticus} Treebank with the two other available Latin treebanks and to fix errors and inconsistencies resulting from the original process.
A Morphological Analyzer for Shipibo-Konibo
We present a fairly complete morphological analyzer for Shipibo-Konibo, a low-resourced native language spoken in the Amazonian region of Peru.
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Every year, the Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
Slavic Forest, Norwegian Wood
We once had a corp, or should we say, it once had us They showed us its tags, isn{'}t it great, unified tags They asked us to parse and they told us to use everything So we looked around and we noticed there was near nothing We took other langs, bitext aligned: words one-to-one We played for two weeks, and then they said, here is the test The parser kept training till morning, just until deadline So we had to wait and hope what we get would be just fine And, when we awoke, the results were done, we saw we{'}d won So, we wrote this paper, isn{'}t it good, Norwegian wood.
Universal Dependencies for Arabic
We describe the process of creating NUDAR, a Universal Dependency treebank for Arabic.
Universal Dependencies
Universal Dependencies (UD) is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages.
Towards Comparability of Linguistic Graph Banks for Semantic Parsing
We announce a new language resource for research on semantic parsing, a large, carefully curated collection of semantic dependency graphs representing multiple linguistic traditions.
Universal Dependencies v1: A Multilingual Treebank Collection
Cross-linguistically consistent annotation is necessary for sound comparative evaluation and cross-lingual learning experiments.
If You Even Don't Have a Bit of Bible: Learning Delexicalized POS Taggers
Part-of-speech (POS) induction is one of the most popular tasks in research on unsupervised NLP.
HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation
HindEnCorp consists of 274k parallel sentences (3. 9 million Hindi and 3. 8 million English tokens).
HamleDT 2.0: Thirty Dependency Treebanks Stanfordized
We present HamleDT 2. 0 (HArmonized Multi-LanguagE Dependency Treebank).
HamleDT: To Parse or Not to Parse?
We propose HamleDT ― HArmonized Multi-LanguagE Dependency Treebank.
Automatic MT Error Analysis: Hjerson Helping Addicter
We present a complex, open source tool for detailed machine translation error analysis providing the user with automatic error detection and classification, several monolingual alignment algorithms as well as with training and test corpus browsing.
