activity
20142020
most citedNeural Paraphrase Generation with Stacked Residual LSTM Networks

222 citations · 238 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2020

An Ontology-driven Treatment Article Retrieval System for Precision Oncology

Zheng Chen, Sadid A. Hasan, Joey Liu +7

This paper presents an ontology-driven treatment article retrieval system developed and experimented using the data and ground truths provided by the TREC 2017 precision medicine t…

cs.CL2018★ 1 cited

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference

Reza Ghaeini, Sadid A. Hasan, Vivek Datla +7

We present a novel deep learning architecture to address the natural language inference (NLI) task. Existing approaches mostly rely on simple reading mechanisms for independent enc…

cs.CL2017

Condensed Memory Networks for Clinical Diagnostic Inferencing

Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan +5

Diagnosis of a clinical condition is a challenging task, which often requires significant medical investigation. Previous work related to diagnostic inferencing problems mostly con…

cs.CL2016★ 222 cited

Neural Paraphrase Generation with Stacked Residual LSTM Networks

Aaditya Prakash, Sadid A. Hasan, Kathy Lee +4

In this paper, we propose a novel neural approach for paraphrase generation. Conventional para- phrase generation methods either leverage hand-written rules and thesauri-based alig…

cs.CL2014★ 15 cited

Complex Question Answering: Unsupervised Learning Approaches and Experiments

Yllias Chali, Shafiq Rayhan Joty, Sadid A. Hasan

Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topic-oriented, informative multi-document summarization wh…