5 citations · 8 across the 4 of their papers we have counts for
4 papers
CLARITY: A Framework and Benchmark for Conversational Language Ambiguity and Unanswerability in Interactive NL2SQL Systems
Tabinda Sarwar, Farhad Moghimifar, Cong Duy Vu Hoang +6
NL2SQL systems deployed in industry settings often encounter ambiguous or unanswerable queries, particularly in interactive scenarios with incomplete user clarification. Existing b…
Learning to Multi-Task Learn for Better Neural Machine Translation
Poorya Zaremoodi, Gholamreza Haffari
Scarcity of parallel sentence pairs is a major challenge for training high quality neural machine translation (NMT) models in bilingually low-resource scenarios, as NMT is data-hun…
Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach
Poorya Zaremoodi, Gholamreza Haffari
Neural machine translation requires large amounts of parallel training text to learn a reasonable-quality translation model. This is particularly inconvenient for language pairs fo…
Incorporating Syntactic Uncertainty in Neural Machine Translation with Forest-to-Sequence Model
Poorya Zaremoodi, Gholamreza Haffari
Incorporating syntactic information in Neural Machine Translation models is a method to compensate their requirement for a large amount of parallel training text, especially for lo…