15 citations · 86 across the 18 of their papers we have counts for
10 papers · 1 filter
Advancing Regular Language Reasoning in Linear Recurrent Neural Networks
Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky
In recent studies, linear recurrent neural networks (LRNNs) have achieved Transformer-level performance in natural language and long-range modeling, while offering rapid parallel t…
Structured Dialogue Discourse Parsing
Ta-Chung Chi, Alexander I. Rudnicky
Dialogue discourse parsing aims to uncover the internal structure of a multi-participant conversation by finding all the discourse~\emph{links} and corresponding~\emph{relations}.…
Overview of Robust and Multilingual Automatic Evaluation Metrics for Open-Domain Dialogue Systems at DSTC 11 Track 4
Mario Rodríguez-Cantelar, Chen Zhang, Chengguang Tang +5
The advent and fast development of neural networks have revolutionized the research on dialogue systems and subsequently have triggered various challenges regarding their automatic…
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation
Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge +1
Relative positional embeddings (RPE) have received considerable attention since RPEs effectively model the relative distance among tokens and enable length extrapolation. We propos…
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
Chen Zhang, João Sedoc, Luis Fernando D'Haro +2
The development of Open-Domain Dialogue Systems (ODS)is a trending topic due to the large number of research challenges, large societal and business impact, and advances in the und…
Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection
Ta-Chung Chi, Alexander I. Rudnicky
Dialogue disentanglement aims to group utterances in a long and multi-participant dialogue into threads. This is useful for discourse analysis and downstream applications such as d…
Adjusting Image Attributes of Localized Regions with Low-level Dialogue
Tzu-Hsiang Lin, Alexander Rudnicky, Trung Bui +2
Natural Language Image Editing (NLIE) aims to use natural language instructions to edit images. Since novices are inexperienced with image editing techniques, their instructions ar…
Tartan: A retrieval-based socialbot powered by a dynamic finite-state machine architecture
George Larionov, Zachary Kaden, Hima Varsha Dureddy +5
This paper describes the Tartan conversational agent built for the 2018 Alexa Prize Competition. Tartan is a non-goal-oriented socialbot focused around providing users with an enga…
RubyStar: A Non-Task-Oriented Mixture Model Dialog System
Huiting Liu, Tao Lin, Hanfei Sun +4
RubyStar is a dialog system designed to create "human-like" conversation by combining different response generation strategies. RubyStar conducts a non-task-oriented conversation o…
Learning Conversational Systems that Interleave Task and Non-Task Content
Zhou Yu, Alan W Black, Alexander I. Rudnicky
Task-oriented dialog systems have been applied in various tasks, such as automated personal assistants, customer service providers and tutors. These systems work well when users ha…