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Found 28 papers, 3 papers with code
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.
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell
We introduce the first treebank for a romanized user-generated content variety of Algerian, a North-African Arabic dialect known for its frequent usage of code-switching.
Les mod\`eles de langue contextuels Camembert pour le fran\ccais : impact de la taille et de l'h\'et\'erog\'en\'eit\'e des donn\'ees d'entrainement (C AMEM BERT Contextual Language Models for French: Impact of Training Data Size and Heterogeneity )
L{'}utilisation pratique de ces mod{\`e}les {---} dans toutes les langues sauf l{'}anglais {---} {\'e}tait donc limit{\'e}e. La sortie r{\'e}cente de plusieurs mod{\`e}les monolingues fond{\'e}s sur BERT (Devlin et al., 2019), notamment pour le fran{\c{c}}ais, a d{\'e}montr{\'e} l{'}int{\'e}r{\^e}t de ces mod{\`e}les en am{\'e}liorant l{'}{\'e}tat de l{'}art pour toutes les t{\^a}ches {\'e}valu{\'e}es.
Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies
The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework.
Phonetic Normalization for Machine Translation of User Generated Content
We present an approach to correct noisy User Generated Content (UGC) in French aiming to produce a pretreatement pipeline to improve Machine Translation for this kind of non-canonical corpora.
Enhancing BERT for Lexical Normalization
In this article, focusing on User Generated Content (UGC), we study the ability of BERT to perform lexical normalisation.
Contextualized Diachronic Word Representations
We devise a novel attentional model, based on Bernoulli word embeddings, that are conditioned on contextual extra-linguistic (social) features such as network, spatial and socio-economic variables, which are associated with Twitter users, as well as topic-based features.
What Does BERT Learn about the Structure of Language?
BERT is a recent language representation model that has surprisingly performed well in diverse language understanding benchmarks.
ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
We augment the deep Biaffine (BiAF) parser (Dozat and Manning, 2016) with novel features to perform competitively: we utilize an indomain version of ELMo features (Peters et al., 2018) which provide context-dependent word representations; we utilize disambiguated, embedded, morphosyntactic features from lexicons (Sagot, 2018), which complements the existing feature set.
The ParisNLP entry at the ConLL UD Shared Task 2017: A Tale of a \#ParsingTragedy
We present the ParisNLP entry at the UD CoNLL 2017 parsing shared task.
From Noisy Questions to Minecraft Texts: Annotation Challenges in Extreme Syntax Scenario
User-generated content presents many challenges for its automatic processing.
Hard Time Parsing Questions: Building a QuestionBank for French
We present the French Question Bank, a treebank of 2600 questions.
Accurate Deep Syntactic Parsing of Graphs: The Case of French
Parsing predicate-argument structures in a deep syntax framework requires graphs to be predicted.
Deep Syntax Annotation of the Sequoia French Treebank
We define a deep syntactic representation scheme for French, which abstracts away from surface syntactic variation and diathesis alternations, and describe the annotation of deep syntactic representations on top of the surface dependency trees of the Sequoia corpus.
Ubiquitous Usage of a Broad Coverage French Corpus: Processing the Est Republicain corpus
In this paper, we introduce a set of resources that we have derived from the EST R{\'E}PUBLICAIN CORPUS, a large, freely-available collection of regional newspaper articles in French, totaling 150 million words.
