From Eliza to XiaoIce: challenges and opportunities with social chatbots

HY Shum, X He, D Li - Frontiers of Information Technology & Electronic …, 2018 - Springer
Conversational systems have come a long way since their inception in the 1960s. After
decades of research and development, we have seen progress from Eliza and Parry in the …

A survey of joint intent detection and slot filling models in natural language understanding

H Weld, X Huang, S Long, J Poon, SC Han - ACM Computing Surveys, 2022 - dl.acm.org
Intent classification, to identify the speaker's intention, and slot filling, to label each token
with a semantic type, are critical tasks in natural language understanding. Traditionally the …

Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

J Li, B Hui, G Qu, J Yang, B Li, B Li… - Advances in …, 2024 - proceedings.neurips.cc
Text-to-SQL parsing, which aims at converting natural language instructions into executable
SQLs, has gained increasing attention in recent years. In particular, GPT-4 and Claude-2 …

Graph neural networks for natural language processing: A survey

L Wu, Y Chen, K Shen, X Guo, H Gao… - … and Trends® in …, 2023 - nowpublishers.com
Deep learning has become the dominant approach in addressing various tasks in Natural
Language Processing (NLP). Although text inputs are typically represented as a sequence …

[HTML][HTML] A survey on deep learning approaches for text-to-SQL

G Katsogiannis-Meimarakis, G Koutrika - The VLDB Journal, 2023 - Springer
To bridge the gap between users and data, numerous text-to-SQL systems have been
developed that allow users to pose natural language questions over relational databases …

Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task

T Yu, R Zhang, K Yang, M Yasunaga, D Wang… - arXiv preprint arXiv …, 2018 - arxiv.org
We present Spider, a large-scale, complex and cross-domain semantic parsing and text-to-
SQL dataset annotated by 11 college students. It consists of 10,181 questions and 5,693 …

QuAC: Question answering in context

E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi… - arXiv preprint arXiv …, 2018 - arxiv.org
We present QuAC, a dataset for Question Answering in Context that contains 14K
information-seeking QA dialogs (100K questions in total). The dialogs involve two crowd …

Bridging textual and tabular data for cross-domain text-to-SQL semantic parsing

XV Lin, R Socher, C Xiong - arXiv preprint arXiv:2012.12627, 2020 - arxiv.org
We present BRIDGE, a powerful sequential architecture for modeling dependencies
between natural language questions and relational databases in cross-DB semantic …

SLURP: A spoken language understanding resource package

E Bastianelli, A Vanzo, P Swietojanski… - arXiv preprint arXiv …, 2020 - arxiv.org
Spoken Language Understanding infers semantic meaning directly from audio data, and
thus promises to reduce error propagation and misunderstandings in end-user applications …

Sqlnet: Generating structured queries from natural language without reinforcement learning

X Xu, C Liu, D Song - arXiv preprint arXiv:1711.04436, 2017 - arxiv.org
Synthesizing SQL queries from natural language is a long-standing open problem and has
been attracting considerable interest recently. Toward solving the problem, the de facto …