Search Results for author: Shachi Paul

Found 7 papers, 2 papers with code

Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning

no code implementations14 Apr 2022 Geunseob Oh, Rahul Goel, Chris Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah

As the top-level intent largely governs the syntax and semantics of a parse, the intent conditioning allows the model to better control beam search and improves the quality and diversity of top-k outputs.

Semantic Parsing

TableFormer: Robust Transformer Modeling for Table-Text Encoding

1 code implementation ACL 2022 Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul

Existing models for table understanding require linearization of the table structure, where row or column order is encoded as an unwanted bias.

Natural Language Understanding

Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues

no code implementations5 Jul 2019 Shachi Paul, Rahul Goel, Dilek Hakkani-Tür

In unsupervised learning experiments we achieve an F1 score of 54. 1% on system turns in human-human dialogues.

Task-Oriented Dialogue Systems

HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking

no code implementations1 Jul 2019 Rahul Goel, Shachi Paul, Dilek Hakkani-Tür

In this work, we analyze the performance of these two alternative dialogue state tracking methods, and present a hybrid approach (HyST) which learns the appropriate method for each slot type.

Dialogue State Tracking Multi-domain Dialogue State Tracking

Flexible and Scalable State Tracking Framework for Goal-Oriented Dialogue Systems

no code implementations30 Nov 2018 Rahul Goel, Shachi Paul, Tagyoung Chung, Jeremie Lecomte, Arindam Mandal, Dilek Hakkani-Tur

This limits such systems in two different ways: If there is an update in the task domain, the dialogue system usually needs to be updated or completely re-trained.

Dialogue State Tracking Goal-Oriented Dialogue Systems +1

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