Manaal Faruqui

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Google ∙ Carnegie Mellon University

Research Scientist at Google since 2016, Software Engineering Intern at Google 2015, Software Engineering Intern at Google 2014, Research Intern at Yahoo! Inc. 2011, Research Intern at University of Stuttgart 2010.

ToTTo: A Controlled Table-To-Text Generation Dataset

We present ToTTo, an open-domain English table-to-text dataset with over...
04/29/2020 ∙ by Ankur P. Parikh, et al. ∙ 0 ∙ share

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How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions

We present a large-scale dataset for the task of rewriting an ill-formed...
11/21/2019 ∙ by Zewei Chu, et al. ∙ 0 ∙ share

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Attention Interpretability Across NLP Tasks

The attention layer in a neural network model provides insights into the...
09/24/2019 ∙ by Shikhar Vashishth, et al. ∙ 0 ∙ share

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Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

Automatically constructed datasets for generating text from semi-structu...
06/03/2019 ∙ by Bhuwan Dhingra, et al. ∙ 0 ∙ share

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Text Generation with Exemplar-based Adaptive Decoding

We propose a novel conditioned text generation model. It draws inspirati...
04/09/2019 ∙ by Hao Peng, et al. ∙ 0 ∙ share

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UniMorph 2.0: Universal Morphology

The Universal Morphology UniMorph project is a collaborative effort to i...
10/25/2018 ∙ by Christo Kirov, et al. ∙ 0 ∙ share

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Learning To Split and Rephrase From Wikipedia Edit History

Split and rephrase is the task of breaking down a sentence into shorter ...
08/28/2018 ∙ by Jan A. Botha, et al. ∙ 0 ∙ share

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WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse

We release a corpus of 43 million atomic edits across 8 languages. These...
08/28/2018 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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Identifying Well-formed Natural Language Questions

Understanding search queries is a hard problem as it involves dealing wi...
08/28/2018 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages

The CoNLL-SIGMORPHON 2017 shared task on supervised morphological genera...
06/27/2017 ∙ by Ryan Cotterell, et al. ∙ 0 ∙ share

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DyNet: The Dynamic Neural Network Toolkit

We describe DyNet, a toolkit for implementing neural network models base...
01/15/2017 ∙ by Graham Neubig, et al. ∙ 0 ∙ share

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Correlation-based Intrinsic Evaluation of Word Vector Representations

We introduce QVEC-CCA--an intrinsic evaluation metric for word vector re...
06/21/2016 ∙ by Yulia Tsvetkov, et al. ∙ 0 ∙ share

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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning

We use Bayesian optimization to learn curricula for word representation ...
05/12/2016 ∙ by Yulia Tsvetkov, et al. ∙ 0 ∙ share

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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

We introduce polyglot language models, recurrent neural network models t...
05/12/2016 ∙ by Yulia Tsvetkov, et al. ∙ 0 ∙ share

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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks

Lacking standardized extrinsic evaluation methods for vector representat...
05/08/2016 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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Cross-lingual Models of Word Embeddings: An Empirical Comparison

Despite interest in using cross-lingual knowledge to learn word embeddin...
04/01/2016 ∙ by Shyam Upadhyay, et al. ∙ 0 ∙ share

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Morphological Inflection Generation Using Character Sequence to Sequence Learning

Morphological inflection generation is the task of generating the inflec...
12/18/2015 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning

Morpho-syntactic lexicons provide information about the morphological an...
12/16/2015 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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Non-distributional Word Vector Representations

Data-driven representation learning for words is a technique of central ...
06/17/2015 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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Multilingual Open Relation Extraction Using Cross-lingual Projection

Open domain relation extraction systems identify relation and argument p...
03/22/2015 ∙ by Manaal Faruqui, et al. ∙ 0 ∙ share

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Manaal Faruqui

Featured Co-authors

Graham Neubig

Dan Roth

Yoav Goldberg

Chris Dyer

Ryan Cotterell

Kevin Gimpel

Alan W Black

Hao Peng

Trevor Cohn

William W. Cohen

Kevin Duh

ToTTo: A Controlled Table-To-Text Generation Dataset

How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions

Attention Interpretability Across NLP Tasks

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

Text Generation with Exemplar-based Adaptive Decoding

UniMorph 2.0: Universal Morphology

Learning To Split and Rephrase From Wikipedia Edit History

WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse

Identifying Well-formed Natural Language Questions

CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages

DyNet: The Dynamic Neural Network Toolkit

Correlation-based Intrinsic Evaluation of Word Vector Representations

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks

Cross-lingual Models of Word Embeddings: An Empirical Comparison

Morphological Inflection Generation Using Character Sequence to Sequence Learning

Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning

Non-distributional Word Vector Representations

Multilingual Open Relation Extraction Using Cross-lingual Projection