47 citations · 68 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
Greedy Column Subset Selection for Large-scale Data Sets
Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi +1
In today's information systems, the availability of massive amounts of data necessitates the development of fast and accurate algorithms to summarize these data and represent them…
Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce
Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel +1
The kernel -means is an effective method for data clustering which extends the commonly-used -means algorithm to work on a similarity matrix over complex data structures. The…