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Found 8 papers, 1 papers with code
Automatically Predicting Judgement Dimensions of Human Behaviour
This paper describes our submission to the ALTA-2020 shared task on assessing behaviour from short text, We evaluate the effectiveness of traditional machine learning and recent transformers pre-trained models.
LEIA: Linguistic Embeddings for the Identification of Affect
We present LEIA, a model for emotion identification in text that has been trained on a dataset of more than 6 million posts with self-annotated emotion labels for happiness, affection, sadness, anger, and fear.
NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings
We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020.
NLP-CIC at SemEval-2020 Task 9: Analysing sentiment in code-switching language using a simple deep-learning classifier
We analyze our best model capabilities and perform error analysis to expose important difficulties for classifying sentiment in a code-switching setting.
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings
This paper details our approach to the task of detecting reportage of adverse drug reaction in tweets as part of the 2019 social media mining for healthcare applications shared task.
Automatic Identification of Drugs and Adverse Drug Reaction Related Tweets
We describe our submissions to the Third Social Media Mining for Health Applications Shared Task.
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling
On this task, we investigate the efficacy of deep neural network models of varying complexity.
Complex Word Identification: Convolutional Neural Network vs. Feature Engineering
We describe the systems of NLP-CIC team that participated in the Complex Word Identification (CWI) 2018 shared task.
