12 citations · 20 across the 5 of their papers we have counts for
13 papers
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing
Akshat Shrivastava, Shrey Desai, Anchit Gupta +4
Task-oriented semantic parsing models have achieved strong results in recent years, but unfortunately do not strike an appealing balance between model size, runtime latency, and cr…
Assessing Data Efficiency in Task-Oriented Semantic Parsing
Shrey Desai, Akshat Shrivastava, Justin Rill +4
Data efficiency, despite being an attractive characteristic, is often challenging to measure and optimize for in task-oriented semantic parsing; unlike exact match, it can require…
Diagnosing Transformers in Task-Oriented Semantic Parsing
Shrey Desai, Ahmed Aly
Modern task-oriented semantic parsing approaches typically use seq2seq transformers to map textual utterances to semantic frames comprised of intents and slots. While these models…
Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling
Shrey Desai, Akshat Shrivastava, Alexander Zotov +1
Task-oriented semantic parsing models typically have high resource requirements: to support new ontologies (i.e., intents and slots), practitioners crowdsource thousands of samples…
Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing
Akshat Shrivastava, Pierce Chuang, Arun Babu +4
An effective recipe for building seq2seq, non-autoregressive, task-oriented parsers to map utterances to semantic frames proceeds in three steps: encoding an utterance , predict…
Compressive Summarization with Plausibility and Salience Modeling
Shrey Desai, Jiacheng Xu, Greg Durrett
Compressive summarization systems typically rely on a crafted set of syntactic rules to determine what spans of possible summary sentences can be deleted, then learn a model of wha…