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Found 40 papers, 3 papers with code
A fast density peak clustering based particle swarm optimizer for dynamic optimization
First, a fast density peak clustering is applied to create multiple sub-populations, which can help the algorithm locate peaks.
User lung cancer classification using efficientnet from ct scan images
Lung-EffNet is built based on the architecture of EfficientNet and further modified by adding top layers in the classification head of the model.
FrSemCor: Annotating a French Corpus with Supersenses
French, as many languages, lacks semantically annotated corpus data.
Integrated optimization of railway freight operation planning and pricing based on carbon emission reduction policies
To reduce carbon emissions from inland freight, one way is to encourage rail transportation instead of truck transportation.
Denoising of MR images with Rician noise using a wider neural network and noise range division
The first model is specific to a certain noise, while the other applies to a wide range of noise levels.
SemEval-2019 Task 2: Unsupervised Lexical Frame Induction
This paper presents Unsupervised Lexical Frame Induction, Task 2 of the International Workshop on Semantic Evaluation in 2019.
Using Wiktionary as a resource for WSD : the case of French verbs
In this paper, we investigate which strategy to adopt to achieve WSD for languages lacking data that was annotated specifically for the task, focusing on the particular case of verb disambiguation in French.
A stacking model using URL and HTML features for phishing webpage detection
In this paper, we present a stacking model to detect phishing webpages using URL and HTML features.
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.
Automated EEG-based Screening of Depression Using Deep Convolutional Neural Network
It was discovered in this research that the EEG signals from the right hemisphere are more distinctive in depression than those from the left hemisphere.
Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking
One sentence summary: Motor cortex proactively drives contralateral swing leg muscles during treadmill walking, counter to the traditional view of stereotyped human locomotion
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.
The ATILF-LLF System for Parseme Shared Task: a Transition-based Verbal Multiword Expression Tagger
We describe the ATILF-LLF system built for the MWE 2017 Shared Task on automatic identification of verbal multiword expressions.
Deeper syntax for better semantic parsing
Syntax plays an important role in the task of predicting the semantic structure of a sentence.
A General Framework for the Annotation of Causality Based on FrameNet
We present here a general set of semantic frames to annotate causal expressions, with a rich lexicon in French and an annotated corpus of about 5000 instances of causal lexical items with their corresponding semantic frames.
Corpus Annotation within the French FrameNet: a Domain-by-domain Methodology
This paper reports on the development of a French FrameNet, within the ASFALDA project.
Hard Time Parsing Questions: Building a QuestionBank for French
We present the French Question Bank, a treebank of 2600 questions.
The LetsRead Corpus of Portuguese Children Reading Aloud for Performance Evaluation
The motivation for the creation of this corpus stems from the inexistence of databases with recordings of reading tasks of Portuguese children with different performance levels and including all the common reading aloud disfluencies.
A Web Tool for Building Parallel Corpora of Spoken and Sign Languages
By building a collaborative, online, easy to use annotation tool for building parallel corpora between spoken and sign languages we aim at helping the development of proper resources for sign languages that can then be used in state-of-the-art models currently used in tools for spoken languages.
HESITA(te) in Portuguese
Hesitations, so-called disfluencies, are a characteristic of spontaneous speech, playing a primary role in its structure, reflecting aspects of the language production and the management of inter-communication.
Developing a French FrameNet: Methodology and First results
The Asfalda project aims to develop a French corpus with frame-based semantic annotations and automatic tools for shallow semantic analysis.
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.
Rhetorical Move Detection in English Abstracts: Multi-label Sentence Classifiers and their Annotated Corpora
Here, we present MAZEA (Multi-label Argumentative Zoning for English Abstracts), a multi-label classifier which automatically identifies rhetorical moves in abstracts but allows for a given sentence to be assigned as many labels as appropriate.
