activity
20182021
most citedSpeak to your Parser: Interactive Text-to-SQL with Natural Language Feedback

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

collaborators

5 papers

cs.CL2021

NL-EDIT: Correcting semantic parse errors through natural language interaction

Ahmed Elgohary, Christopher Meek, Matthew Richardson +3

We study semantic parsing in an interactive setting in which users correct errors with natural language feedback. We present NL-EDIT, a model for interpreting natural language feed…

cs.CL20201 cited

Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback

Ahmed Elgohary, Saghar Hosseini, Ahmed Hassan Awadallah

We study the task of semantic parse correction with natural language feedback. Given a natural language utterance, most semantic parsing systems pose the problem as one-shot transl…

cs.CL2018

Assessing Composition in Sentence Vector Representations

Allyson Ettinger, Ahmed Elgohary, Colin Phillips +1

An important component of achieving language understanding is mastering the composition of sentence meaning, but an immediate challenge to solving this problem is the opacity of se…

cs.CL2018

Construction of the Literature Graph in Semantic Scholar

Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula +20

We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting…

cs.CL2018

Generating Natural Language Adversarial Examples

Moustafa Alzantot, Yash Sharma, Ahmed Elgohary +3

Deep neural networks (DNNs) are vulnerable to adversarial examples, perturbations to correctly classified examples which can cause the model to misclassify. In the image domain, th…