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Found 7 papers, 0 papers with code
Du bon usage d'ingr\'edients linguistiques sp\'eciaux pour classer des recettes exceptionnelles (Using Special Linguistic Ingredients to Classify Exceptional Recipes )
Nous pr{\'e}sentons un mod{\`e}le d{'}apprentissage automatique qui combine mod{\`e}les neuronaux et linguistiques pour traiter les t{\^a}ches de classification dans lesquelles la distribution des {\'e}tiquettes des instances est d{\'e}s{\'e}quilibr{\'e}e. Les performances de ce mod{\`e}le sont mesur{\'e}es {\`a} l{'}aide d{'}exp{\'e}riences men{\'e}es sur les t{\^a}ches de classification de recettes de cuisine de la campagne DEFT 2013 (Grouin et al., 2013).
On the Creation of a Corpus for Coherence Evaluation of Discursive Units
We experimented with a variety of corruption strategies to create synthetic incoherent pairs of discourse arguments from coherent ones.
Cooking Up a Neural-based Model for Recipe Classification
In this paper, we propose a neural-based model to address the first task of the DEFT 2013 shared task, with the main challenge of a highly imbalanced dataset, using state-of-the-art embedding approaches and deep architectures.
Neural Feature Extraction for Contextual Emotion Detection
This paper describes a new approach for the task of contextual emotion detection.
Ranked #9 on
Emotion Recognition in Conversation
on EC
CLaC Lab at SemEval-2019 Task 3: Contextual Emotion Detection Using a Combination of Neural Networks and SVM
This paper describes our system at SemEval 2019, Task 3 (EmoContext), which focused on the contextual detection of emotions in a dataset of 3-round dialogues.
CLaC at CLPsych 2019: Fusion of Neural Features and Predicted Class Probabilities for Suicide Risk Assessment Based on Online Posts
This paper summarizes our participation to the CLPsych 2019 shared task, under the name CLaC.
Native Language Identification Using a Mixture of Character and Word N-grams
Native language identification (NLI) is the task of determining an author{'}s native language, based on a piece of his/her writing in a second language.
