4 papers
How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing
Barriere Valentin, Jacquet Guillaume
In a classification task, dealing with text snippets and metadata usually requires dealing with multimodal approaches. When those metadata are textual, it is tempting to use them i…
Improving Sentiment Analysis over non-English Tweets using Multilingual Transformers and Automatic Translation for Data-Augmentation
Valentin Barriere, Alexandra Balahur
Tweets are specific text data when compared to general text. Although sentiment analysis over tweets has become very popular in the last decade for English, it is still difficult t…
May I Check Again? -- A simple but efficient way to generate and use contextual dictionaries for Named Entity Recognition. Application to French Legal Texts
Valentin Barriere, Amaury Fouret
In this paper we present a new method to learn a model robust to typos for a Named Entity Recognition task. Our improvement over existing methods helps the model to take into accou…
Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields
Valentin Barriere, Chloé Clavel, Slim Essid
In this paper, the main goal is to detect a movie reviewer's opinion using hidden conditional random fields. This model allows us to capture the dynamics of the reviewer's opinion…