Preksha Nema
12 papers · 2017–2023 · 5 venues · across top CS/AI venues
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Research topics
Deep Learning
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Artificial Intelligence
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Core AI
(5)
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Optimization & Theory · Machine Learning
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Optimization & Theory · Deep Learning
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Keywords
attention mechanism
(6)
attention head
(2)
table summarization
(2)
question generation
(2)
reading comprehension
(2)
natural language generation
(2)
structured data
(2)
table-to-text generation
(2)
question answering
(2)
semantic parsing
(1)
query-based summarization
(1)
text style transfer
(1)
hypothesis testing
(1)
vector quantization
(1)
text generation
(1)
machine reading comprehension
(1)
evaluation metric
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abstract meaning representation
(1)
bleu score
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diversity modeling
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Papers
ReTAG: Reasoning Aware Table to Analytic Text Generation
EMNLP 2023
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation
EMNLP 2022
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT
AAAI 2021
On the weak link between importance and prunability of attention heads
EMNLP 2020
Towards Interpreting BERT for Reading Comprehension Based QA
EMNLP 2020
Towards Transparent and Explainable Attention Models
ACL 2020
Let’s Ask Again: Refine Network for Automatic Question Generation
EMNLP 2019
A Mixed Hierarchical Attention Based Encoder-Decoder Approach for Standard Table Summarization
NAACL 2018
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
IJCAI 2018
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
NAACL 2018
Towards a Better Metric for Evaluating Question Generation Systems
EMNLP 2018
Diversity driven attention model for query-based abstractive summarization
ACL 2017