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GeoLingIt at EVALITA 2023: Overview of the geolocation of linguistic variation in Italy task
GeoLingIt is the first shared task on geolocation of linguistic variation in Italy from social
media posts comprising content in language varieties other than standard Italian (ie …
media posts comprising content in language varieties other than standard Italian (ie …
Malto at semeval-2024 task 6: Leveraging synthetic data for llm hallucination detection
In Natural Language Generation (NLG), contemporary Large Language Models (LLMs) face
several challenges, such as generating fluent yet inaccurate outputs and reliance on fluency …
several challenges, such as generating fluent yet inaccurate outputs and reliance on fluency …
Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts
Social geolocation is an important problem of predicting the originating locations of social
media posts. However, this task is challenging due to the need for a substantial volume of …
media posts. However, this task is challenging due to the need for a substantial volume of …
FewUser: Few-Shot Social User Geolocation via Contrastive Learning
To address the challenges of scarcity in geotagged data for social user geolocation, we
propose FewUser, a novel framework for Few-shot social User geolocation. We incorporate …
propose FewUser, a novel framework for Few-shot social User geolocation. We incorporate …
Enhancing Cross-Lingual Word Embeddings: Aligned Subword Vectors for Out-of-Vocabulary Terms in fastText
The word embedding models have significantly impacted Natural Language Processing,
particularly in multilingual settings. The well-known fastText approach proposed a …
particularly in multilingual settings. The well-known fastText approach proposed a …