The peer merit review of research proposals has been the major mechanism to decide grant awards. However, have become increasingly interdisciplinary. It a longstanding challenge assign interdisciplinary appropriate reviewers so are fairly evaluated. One critical steps in reviewer assignment is generate accurate topic labels for proposal-reviewer matching. Existing systems mainly collect manuall...

We propose a Word-Topic Mixture(WTM) model to improve word representation and topic model simultaneously. Firstly, it introduces the initial external word embeddings into the Topical Word Embeddings(TWE) model based on Latent Dirichlet Allocation(LDA) model to learn word embeddings and topic vectors. Then the results learned from TWE are integrated in the LDA by defining the probability distrib...

Topic segmentation aims to reveal the latent structure of a document and divide it into multiple parts. However, current neural solutions are limited in context modeling sentences feature representation candidate boundaries. This causes model suffer from inefficient sentence encoding noise information interference. In this paper, we design new text SegFormer with unidirectional attention blocks...