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Found 18 papers, 2 papers with code
Towards Ontology-Enhanced Representation Learning for Large Language Models
Taking advantage of the widespread use of ontologies to organise and harmonize knowledge across several distinct domains, this paper proposes a novel approach to improve an embedding-Large Language Model (embedding-LLM) of interest by infusing the knowledge formalized by a reference ontology: ontological knowledge infusion aims at boosting the ability of the considered LLM to effectively model the knowledge domain described by the infused ontology.
SemEval 2018 Task 2: Multilingual Emoji Prediction
This paper describes the results of the first Shared Task on Multilingual Emoji Prediction, organized as part of SemEval 2018.
Multimodal Emoji Prediction
Emojis are small images that are commonly included in social media text messages.
Natural Language Processing for Intelligent Access to Scientific Information
Summarization techniques can reduce the size of long papers to their essential content or automatically generate state-of-the-art-reviews.
DefExt: A Semi Supervised Definition Extraction Tool
We present DefExt, an easy to use semi supervised Definition Extraction Tool.
A Multi-Layered Annotated Corpus of Scientific Papers
In addition, a grade is allocated to each sentence according to its relevance for being included in a summary. To the best of our knowledge, this complex, multi-layered collection of annotations and metadata characterizing a set of research papers had never been grouped together before in one corpus and therefore constitutes a newer, richer resource with respect to those currently available in the field.
What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis
Emojis allow us to describe objects, situations and even feelings with small images, providing a visual and quick way to communicate.
