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Found 43 papers, 3 papers with code
Identification of Multiword Expressions in Tweets for Hate Speech Detection
In this article, we present joint experiments on these two related tasks on English Twitter data: first we focus on the MWE identification task, and then we observe the influence of MWE-based features on the HSD task.
mwetoolkit-lib: Adaptation of the mwetoolkit as a Python Library and an Application to MWE-based Document Clustering
One of the contributions of our work is the adaptation of the MWE extraction pipeline from the mwetoolkit, allowing its usage in python development environments and integration in larger pipelines.
Seen2Unseen at PARSEME Shared Task 2020: All Roads do not Lead to Unseen Verb-Noun VMWEs
We describe the Seen2Unseen system that participated in edition 1. 2 of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs).
Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions
We present edition 1. 2 of the PARSEME shared task on identification of verbal multiword expressions (VMWEs).
Identification des Expressions Polylexicales dans les Tweets (Identification of Multiword Expressions in Tweets)
L’identification des expressions polylexicales (EP) dans les tweets est une tâche difficile en raison de la nature linguistique complexe des EP combinée à l’utilisation d’un langage non standard.
AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
This paper explains our participation in task 1 of the CASE 2021 shared task.
Verbal Multiword Expression Identification: Do We Need a Sledgehammer to Crack a Nut?
Automatic identification of multiword expressions (MWEs), like {`}to cut corners{'} (to do an incomplete job), is a pre-requisite for semantically-oriented downstream applications.
SLICE: Supersense-based Lightweight Interpretable Contextual Embeddings
Contextualised embeddings such as BERT have become de facto state-of-the-art references in many NLP applications, thanks to their impressive performances.
To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features
We use this fact to determine the optimal set of features which could be used in a supervised classification setting to solve a subproblem of VMWE identification: the identification of occurrences of previously seen VMWEs.
Multilingual enrichment of disease biomedical ontologies
Translating biomedical ontologies is an important challenge, but doing it manually requires much time and money.
Without lexicons, multiword expression identification will never fly: A position statement
Because most multiword expressions (MWEs), especially verbal ones, are semantically non-compositional, their automatic identification in running text is a prerequisite for semantically-oriented downstream applications.
The Impact of Word Representations on Sequential Neural MWE Identification
Recent initiatives such as the PARSEME shared task allowed the rapid development of MWE identification systems.
Typological Features for Multilingual Delexicalised Dependency Parsing
The existence of universal models to describe the syntax of languages has been debated for decades.
Unsupervised Compositionality Prediction of Nominal Compounds
General crosslingual analyses reveal the impact of morphological variation and corpus size in the ability of the model to predict compositionality, and of a uniform combination of the components for best results.
Veyn at PARSEME Shared Task 2018: Recurrent Neural Networks for VMWE Identification
This paper describes the Veyn system, submitted to the closed track of the PARSEME Shared Task 2018 on automatic identification of verbal multiword expressions (VMWEs).
Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
Corpora were created for 20 languages, which are also briefly discussed.
VarIDE at PARSEME Shared Task 2018: Are Variants Really as Alike as Two Peas in a Pod?
We describe the VarIDE system (standing for Variant IDEntification) which participated in the edition 1. 1 of the PARSEME shared task on automatic identification of verbal multiword expressions (VMWEs).
If you've seen some, you've seen them all: Identifying variants of multiword expressions
Multiword expressions, especially verbal ones (VMWEs), show idiosyncratic variability, which is challenging for NLP applications, hence the need for VMWE identification.
Towards a Variability Measure for Multiword Expressions
One of the most outstanding properties of multiword expressions (MWEs), especially verbal ones (VMWEs), important both in theoretical models and applications, is their idiosyncratic variability.
Survey: Multiword Expression Processing: A Survey
The structure of linguistic processing that depends on the clear distinction between words and phrases has to be re-thought to accommodate MWEs.
Annotation d'expressions polylexicales verbales en fran\ccais (Annotation of verbal multiword expressions in French)
Nous d{\'e}crivons la partie fran{\c{c}}aise des donn{\'e}es produites dans le cadre de la campagne multilingue PARSEME sur l{'}identification d{'}expressions polylexicales verbales (Savary et al., 2017).
The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions
This paper presents the corpus annotation methodology and outcome, the shared task organisation and the results of the participating systems.
Discovering Light Verb Constructions and their Translations from Parallel Corpora without Word Alignment
We propose a method for joint unsupervised discovery of multiword expressions (MWEs) and their translations from parallel corpora.
Identification of Ambiguous Multiword Expressions Using Sequence Models and Lexical Resources
We present a simple and efficient tagger capable of identifying highly ambiguous multiword expressions (MWEs) in French texts.
DeQue: A Lexicon of Complex Prepositions and Conjunctions in French
We introduce DeQue, a lexicon covering French complex prepositions (CPRE) like {``}{\`a} partir de{''} (from) and complex conjunctions (CCONJ) like {``}bien que{''} (although).
mwetoolkit+sem: Integrating Word Embeddings in the mwetoolkit for Semantic MWE Processing
This paper presents mwetoolkit+sem: an extension of the mwetoolkit that estimates semantic compositionality scores for multiword expressions (MWEs) based on word embeddings.
Comparing Similarity Measures for Distributional Thesauri
Distributional thesauri have been applied for a variety of tasks involving semantic relatedness.
Comparing the Quality of Focused Crawlers and of the Translation Resources Obtained from them
Comparable corpora have been used as an alternative for parallel corpora as resources for computational tasks that involve domain-specific natural language processing.
