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Rishita Anubhai

4 accepted papers

2024

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

ICLR 2024poster

Foundation models (FMs) learn from large volumes of unlabeled data to demonstrate superior performance across a wide range of tasks. However, FMs developed for biomedical domains have largely remained unimodal, i.e., independently trained and used for tasks on protein sequences alone, small molecule…

2022

Label Semantics for Few Shot Named Entity Recognition

ACL 2022findings

We study the problem of few shot learning for named entity recognition. Specifically, we leverage the semantic information in the names of the labels as a way of giving the model additional signal and enriched priors. We propose a neural architecture that consists of two BERT encoders, one to encode…

2021

Structured Prediction as Translation between Augmented Natural Languages

ICLR 2021spotlight

We propose a new framework, Translation between Augmented Natural Languages (TANL), to solve many structured prediction language tasks including joint entity and relation extraction, nested named entity recognition, relation classification, semantic role labeling, event extraction, coreference resol…

2016

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

ICML 2016poster

We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech–two vastly different languages. Because it replaces entire pipelines of hand-engineered components with neural networks, end-to-end learning allows us to handle a diverse variety of s…