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Found 5 papers, 4 papers with code
Unifying Molecular and Textual Representations via Multi-task Language Modelling
Here, we propose the first multi-domain, multi-task language model that can solve a wide range of tasks in both the chemical and natural language domains.
Ranked #3 on
Molecule Captioning
on ChEBI-20
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection
In our evaluation, we first analyze the quality of the model after adaptive fine-tuning on known classes.
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
With the growing availability of data within various scientific domains, generative models hold enormous potential to accelerate scientific discovery.
An Automated Domain Understanding Technique for Knowledge Graph Generation
Initially, the structure of the domain of interest is inferred from the corpus in the form of a metagraph.
Understood in Translation, Transformers for Domain Understanding
Focusing on scientific document understanding, we present a new health domain dataset based on publications extracted from PubMed and we successfully utilize our method on this.
