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Found 5 papers, 0 papers with code
Modeling User Behavior With Interaction Networks for Spam Detection
Users' complex behavior can be well represented by a heterogeneous graph rich with node and edge attributes.
Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting
In this work, we present a method for training retrieval-based dialogue systems using a small amount of high-quality, annotated data and a larger, unlabeled dataset.
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting
To test our models, a customer service agent handles live contacts and at each turn we present the top four model responses and allow the agent to select (and optionally edit) one of the suggestions or to type their own.
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification
The ability to automatically and accurately process customer feedback is a necessity in the private sector.
A multi-instance learning algorithm based on a stacked ensemble of lazy learners
This document describes a novel learning algorithm that classifies "bags" of instances rather than individual instances.
