Search Results for author: Ahmed Elgohary

Found 12 papers, 3 papers with code

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

1 code implementation NAACL 2021 Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo Ramos, Ahmed Hassan Awadallah

We present NL-EDIT, a model for interpreting natural language feedback in the interaction context to generate a sequence of edits that can be applied to the initial parse to correct its errors.

Semantic Parsing Text-To-SQL

It Takes Two to Lie: One to Lie, and One to Listen

no code implementations ACL 2020 Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan Boyd-Graber

Trust is implicit in many online text conversations{---}striking up new friendships, or asking for tech support.

Can You Unpack That? Learning to Rewrite Questions-in-Context

no code implementations IJCNLP 2019 Ahmed Elgohary, Denis Peskov, Jordan Boyd-Graber

Question answering is an AI-complete problem, but existing datasets lack key elements of language understanding such as coreference and ellipsis resolution.

Question Answering

A dataset and baselines for sequential open-domain question answering

no code implementations EMNLP 2018 Ahmed Elgohary, Chen Zhao, Jordan Boyd-Graber

Previous work on question-answering systems mainly focuses on answering individual questions, assuming they are independent and devoid of context.

Information Retrieval Open-Domain Question Answering +1

Assessing Composition in Sentence Vector Representations

1 code implementation COLING 2018 Allyson Ettinger, Ahmed Elgohary, Colin Phillips, Philip Resnik

We describe the details of the method and generation system, and then present results of experiments applying our method to probe for compositional information in embeddings from a number of existing sentence composition models.


Generating Natural Language Adversarial Examples

5 code implementations EMNLP 2018 Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani Srivastava, Kai-Wei Chang

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

Natural Language Inference Sentiment Analysis

Greedy Column Subset Selection for Large-scale Data Sets

no code implementations24 Dec 2013 Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel

The algorithm first learns a concise representation of all columns using random projection, and it then solves a generalized column subset selection problem at each machine in which a subset of columns are selected from the sub-matrix on that machine such that the reconstruction error of the concise representation is minimized.

Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce

no code implementations11 Nov 2013 Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray

Exploiting the proposed parallelization strategy, we present two scalable MapReduce algorithms for kernel $k$-means.

Clustering Distributed Computing

Cannot find the paper you are looking for? You can Submit a new open access paper.