most citedSentence-level Privacy for Document Embeddings

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2022★ 1 cited

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

Khalil Mrini, Harpreet Singh, Franck Dernoncourt +5

Current medical question answering systems have difficulty processing long, detailed and informally worded questions submitted by patients, called Consumer Health Questions (CHQs).…

cs.LG2022★ 1 cited

Sentence-level Privacy for Document Embeddings

Casey Meehan, Khalil Mrini, Kamalika Chaudhuri

User language data can contain highly sensitive personal content. As such, it is imperative to offer users a strong and interpretable privacy guarantee when learning from their dat…

cs.CL2022

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem

Khalil Mrini, Shaoliang Nie, Jiatao Gu +3

We propose an autoregressive entity linking model, that is trained with two auxiliary tasks, and learns to re-rank generated samples at inference time. Our proposed novelties addre…

cs.CL2019

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Khalil Mrini, Franck Dernoncourt, Quan Tran +3

Attention mechanisms have improved the performance of NLP tasks while allowing models to remain explainable. Self-attention is currently widely used, however interpretability is di…

cs.CL2019

Interpretable Structure-aware Document Encoders with Hierarchical Attention

Khalil Mrini, Claudiu Musat, Michael Baeriswyl +1

We propose a method to create document representations that reflect their internal structure. We modify Tree-LSTMs to hierarchically merge basic elements such as words and sentence…