Search Results for author: Alexander Zotov

Found 5 papers, 1 papers with code

Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing

no code implementations2 Feb 2022 Akshat Shrivastava, Shrey Desai, Anchit Gupta, Ali Elkahky, Aleksandr Livshits, Alexander Zotov, Ahmed Aly

We tackle this problem by introducing scenario-based semantic parsing: a variant of the original task which first requires disambiguating an utterance's "scenario" (an intent-slot template with variable leaf spans) before generating its frame, complete with ontology and utterance tokens.

Retrieval Semantic Parsing

Assessing Data Efficiency in Task-Oriented Semantic Parsing

no code implementations10 Jul 2021 Shrey Desai, Akshat Shrivastava, Justin Rill, Brian Moran, Safiyyah Saleem, Alexander Zotov, Ahmed Aly

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 both model- and domain-specific setups, which have, historically, varied widely across experiments.

Semantic Parsing

Span Pointer Networks for Non-Autoregressive Task-Oriented Semantic Parsing

no code implementations Findings (EMNLP) 2021 Akshat Shrivastava, Pierce Chuang, Arun Babu, Shrey Desai, Abhinav Arora, Alexander Zotov, Ahmed Aly

An effective recipe for building seq2seq, non-autoregressive, task-oriented parsers to map utterances to semantic frames proceeds in three steps: encoding an utterance $x$, predicting a frame's length |y|, and decoding a |y|-sized frame with utterance and ontology tokens.

Cross-Lingual Transfer Quantization +2

Low-Resource Task-Oriented Semantic Parsing via Intrinsic Modeling

no code implementations15 Apr 2021 Shrey Desai, Akshat Shrivastava, Alexander Zotov, Ahmed Aly

Task-oriented semantic parsing models typically have high resource requirements: to support new ontologies (i. e., intents and slots), practitioners crowdsource thousands of samples for supervised fine-tuning.

Semantic Parsing

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