Search Results for author:
Found 4 papers, 1 papers with code
Resources for Multilingual Hate Speech Detection
We propose a comparative framework for quickly conducting comparative experiments using different previously published models. In addition, we set up a Codalab competition for further comparison of new models in a standard scenario, that is, data partitions and evaluation metrics.
Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios
In this work, we study the task of automatically classifying messages that are related to crisis events by leveraging cross-language and cross-domain labeled data.
Cross-lingual hate speech detection based on multilingual domain-specific word embeddings
Our proposal constitutes, to the best of our knowledge, the first attempt for constructing multilingual specific-task representations.
Fine-Grained Evaluation for Entity Linking
The Entity Linking (EL) task identifies entity mentions in a text corpus and associates them with an unambiguous identifier in a Knowledge Base.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
