Fetching the paper…

Reading the bibliography…

2021

NLP is Not enough -- Contextualization of User Input in Chatbots

Dolbir, Nathan, Dastidar, Triyasha, Roy, Kaushik

Original
PDF
Post on X

Understand

AI chatbots have made vast strides in technology improvement in recent years and are already operational in many industries.

Advanced Natural Language Processing techniques, based on deep networks, efficiently process user requests to carry out their functions.
As chatbots gain traction, their applicability in healthcare is an attractive proposition due to the reduced economic and people costs of an overburdened system.
However, healthcare bots require safe and medically accurate information capture, which deep networks aren't yet capable of due to user text and speech variations.

NLP is Not enough -- Contextualization of User Input in Chatbots · Around

Built on

Attention is all you need,
Original
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, I. Polosukhin, · 2017
Earlier work this paper cites.
Deep learning for smart industry: Efficient manufacture inspection system with fog computing,
L. Li, K. Ota, M. Dong, · 2018
Earlier work this paper cites.
Hello, it’s gpt-2–how can i help you? towards the use of pretrained language models for task-oriented dialogue systems,
Original
P. Budzianowski, I. Vulić, · 2019
Earlier work this paper cites.

Similar

A survey of the usages of deep learning for natural language processing,
D. W. Otter, J. R. Medina, J. K. Kalita, · 2020
Cited alongside, same era.
Language models are few-shot learners,
Original
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al., · 2020
Cited alongside, same era.
Pre-trained models for natural language processing: A survey,
X. Qiu, T. Sun, Y. Xu, Y. Shao, N. Dai, X. Huang, · 2020
Cited alongside, same era.

Then

N. Bertagnolli, Counsel chat: Bootstrapping high-quality therapy data, 2020
2020
Later among the works it cites.
Introduction: What is a knowledge graph?,
Original
D. Fensel, U. Şimşek, K. Angele, E. Huaman, E. Kärle, O. Panasiuk, I. Toma, J. Umbrich, A. Wahler, · 2020
Later among the works it cites.
” is depression related to cannabis?”: A knowledge-infused model for entity and relation extraction with limited supervision,
Original
K. Roy, U. Lokala, V. Khandelwal, A. Sheth, · 2021
Closest in time.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…