Search Results for author:
Found 8 papers, 4 papers with code
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Transformer-based language models (LMs) pretrained on large text collections are proven to store a wealth of semantic knowledge.
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
We introduce Span-ConveRT, a light-weight model for dialog slot-filling which frames the task as a turn-based span extraction task.
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking
We present PolyResponse, a conversational search engine that supports task-oriented dialogue.
Training Neural Response Selection for Task-Oriented Dialogue Systems
Despite their popularity in the chatbot literature, retrieval-based models have had modest impact on task-oriented dialogue systems, with the main obstacle to their application being the low-data regime of most task-oriented dialogue tasks.
A Repository of Conversational Datasets
Progress in Machine Learning is often driven by the availability of large datasets, and consistent evaluation metrics for comparing modeling approaches.
BIG-bench Machine Learning
Conversational Response Selection
+1
Named Entity Recognition With Parallel Recurrent Neural Networks
We present a new architecture for named entity recognition.
Neural Clustering By Predicting And Copying Noise
We propose a neural clustering model that jointly learns both latent features and how they cluster.
An Attention Mechanism for Answer Selection Using a Combined Global and Local View
We propose a new attention mechanism for neural based question answering, which depends on varying granularities of the input.
