287 citations · 323 across the 3 of their papers we have counts for
3 papers
Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
Trapit Bansal, Pat Verga, Neha Choudhary +1
Understanding the meaning of text often involves reasoning about entities and their relationships. This requires identifying textual mentions of entities, linking them to a canonic…
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Trapit Bansal, David Belanger, Andrew McCallum
In a variety of application domains the content to be recommended to users is associated with text. This includes research papers, movies with associated plot summaries, news artic…
A provable SVD-based algorithm for learning topics in dominant admixture corpus
Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
Topic models, such as Latent Dirichlet Allocation (LDA), posit that documents are drawn from admixtures of distributions over words, known as topics. The inference problem of recov…