Search Results for author: Balakrishnan Narayanaswamy

Found 9 papers, 3 papers with code

Recursive Template-based Frame Generation for Task Oriented Dialog

no code implementations ACL 2020 Rashmi Gangadharaiah, Balakrishnan Narayanaswamy

The Natural Language Understanding (NLU) component in task oriented dialog systems processes a user{'}s request and converts it into structured information that can be consumed by downstream components such as the Dialog State Tracker (DST).

Natural Language Understanding

What we need to learn if we want to do and not just talk

no code implementations NAACL 2018 Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan

In task-oriented dialog, agents need to generate both fluent natural language responses and correct external actions like database queries and updates.

Chatbot Machine Translation

Achieving Fluency and Coherency in Task-oriented Dialog

no code implementations11 Apr 2018 Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan

We show how to combine nearest neighbor and Seq2Seq methods in a hybrid model, where nearest neighbor is used to generate fluent responses and Seq2Seq type models ensure dialog coherency and generate accurate external actions.

Thresholding Classifiers to Maximize F1 Score

1 code implementation8 Feb 2014 Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy

As another special case, if the classifier is completely uninformative, then the optimal behavior is to classify all examples as positive.

Classification Decision Making +1

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