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20182021
most citedActive Federated Learning

83 citations · 125 across the 5 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

cs.CL2021

El Volumen Louder Por Favor: Code-switching in Task-oriented Semantic Parsing

Arash Einolghozati, Abhinav Arora, Lorena Sainz-Maza Lecanda +2

Being able to parse code-switched (CS) utterances, such as Spanish+English or Hindi+English, is essential to democratize task-oriented semantic parsing systems for certain locales.…

cs.CL2020

Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data

Ankit Arun, Soumya Batra, Vikas Bhardwaj +9

Natural language generation (NLG) is a critical component in conversational systems, owing to its role of formulating a correct and natural text response. Traditionally, NLG compon…

cs.CL2020

Conversational Semantic Parsing

Armen Aghajanyan, Jean Maillard, Akshat Shrivastava +8

The structured representation for semantic parsing in task-oriented assistant systems is geared towards simple understanding of one-turn queries. Due to the limitations of the repr…

cs.CL20205 cited

Information Extraction of Clinical Trial Eligibility Criteria

Yitong Tseo, M. I. Salkola, Ahmed Mohamed +2

Clinical trials predicate subject eligibility on a diversity of criteria ranging from patient demographics to food allergies. Trials post their requirements as semantically complex…

cs.CL2018

Semantic Parsing for Task Oriented Dialog using Hierarchical Representations

Sonal Gupta, Rushin Shah, Mrinal Mohit +2

Task oriented dialog systems typically first parse user utterances to semantic frames comprised of intents and slots. Previous work on task oriented intent and slot-filling work ha…

cs.CL2018

Towards end-to-end spoken language understanding

Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen +3

Spoken language understanding system is traditionally designed as a pipeline of a number of components. First, the audio signal is processed by an automatic speech recognizer for t…