Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule

arXiv:2403.13830v1 Announce Type: cross
Abstract: Artificial intelligence has demonstrated immense potential in scientific research. Within molecular science, it is revolutionizing the traditional computer-aided paradigm, ushering in a new era of deep learning. With recent progress in multimodal learning and natural language processing, an emerging trend has targeted at building multimodal frameworks to jointly model molecules with textual domain knowledge. In this paper, we present the first systematic survey on multimodal frameworks for molecules research. Specifically,we begin with the development of …

abstract and natural language processing artificial artificial intelligence arxiv building computer cs.cl cs.lg deep learning frameworks intelligence language language processing molecular science multimodal multimodal learning natural natural language natural language processing paradigm processing progress q-bio.bm research science scientific scientific research survey text trend type