A survey of natural language generation techniques with a focus on dialogue systems-past, present and future directions
S Santhanam, S Shaikh - arXiv preprint arXiv:1906.00500, 2019 - arxiv.org
One of the hardest problems in the area of Natural Language Processing and Artificial
Intelligence is automatically generating language that is coherent and understandable to …
Intelligence is automatically generating language that is coherent and understandable to …
Retrieval-guided dialogue response generation via a matching-to-generation framework
End-to-end sequence generation is a popular technique for developing open domain
dialogue systems, though they suffer from the safe response problem. Researchers have …
dialogue systems, though they suffer from the safe response problem. Researchers have …
Thinking globally, acting locally: Distantly supervised global-to-local knowledge selection for background based conversation
Background Based Conversation (BBCs) have been introduced to help conversational
systems avoid generating overly generic responses. In a BBC, the conversation is grounded …
systems avoid generating overly generic responses. In a BBC, the conversation is grounded …
Deep learning for dialogue systems: Chit-chat and beyond
With the rapid progress of deep neural models and the explosion of available data
resources, dialogue systems that supports extensive topics and chit-chat conversations are …
resources, dialogue systems that supports extensive topics and chit-chat conversations are …
A discrete CVAE for response generation on short-text conversation
Neural conversation models such as encoder-decoder models are easy to generate bland
and generic responses. Some researchers propose to use the conditional variational …
and generic responses. Some researchers propose to use the conditional variational …
Cluster-based beam search for pointer-generator chatbot grounded by knowledge
YC Tam - Computer Speech & Language, 2020 - Elsevier
We present an end-to-end approach for knowledge-grounded response generation in
Dialog System Technology Challenges 7 (DSTC7). Our system is trained by a pointer …
Dialog System Technology Challenges 7 (DSTC7). Our system is trained by a pointer …
Assessing dialogue systems with distribution distances
An important aspect of developing dialogue systems is how to evaluate and compare the
performance of different systems. Existing automatic evaluation metrics are based on turn …
performance of different systems. Existing automatic evaluation metrics are based on turn …
Grounding conversations with improvised dialogues
Effective dialogue involves grounding, the process of establishing mutual knowledge that is
essential for communication between people. Modern dialogue systems are not explicitly …
essential for communication between people. Modern dialogue systems are not explicitly …
Linguistically-informed specificity and semantic plausibility for dialogue generation
Sequence-to-sequence models for open-domain dialogue generation tend to favor generic,
uninformative responses. Past work has focused on word frequency-based approaches to …
uninformative responses. Past work has focused on word frequency-based approaches to …
Knowledge-enhanced Memory Model for Emotional Support Conversation
The prevalence of mental disorders has become a significant issue, leading to the increased
focus on Emotional Support Conversation as an effective supplement for mental health …
focus on Emotional Support Conversation as an effective supplement for mental health …