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An End-to-end Neural Natural Language Interface for Databases [article]

Prasetya Utama, Nathaniel Weir, Fuat Basik, Carsten Binnig, Ugur Cetintemel, Benjamin Hättasch, Amir Ilkhechi, Shekar Ramaswamy, Arif Usta
2018 arXiv   pre-print
However, understanding natural language questions and translating them accurately to SQL is a challenging task, and thus Natural Language Interfaces for Databases (NLIDBs) have not yet made their way into  ...  Natural language has recently gained traction as an alternative query interface to databases with the potential to enable non-expert users to formulate complex questions and information needs efficiently  ...  Different from existing approaches, DBPal leverages deep neural network models as the core of its natural language interface system.  ... 
arXiv:1804.00401v1 fatcat:hblzvhczajcmzi3suknmk6tuhy

VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions

Yuanfeng Song, Raymond Chi-Wing Wong, Xuefang Zhao, Di Jiang
2022 Proceedings of the 2022 International Conference on Management of Data  
With recent development in natural language processing (NLP) and automatic speech recognition (ASR), voice-based interfaces have become a necessity for applications such as chatbots, search engines, and  ...  In this demonstration, we introduce VoiceQuerySystem, a voice-based database querying system that enables users to conduct data operations with natural language questions (NLQs).  ...  Since a large volume of data is stored in the relational database, it would be very helpful for non-technical users to conduct data analysis with the voice-based interfaces using natural language questions  ... 
doi:10.1145/3514221.3520158 fatcat:ijjdxy3tlbdidp2ul7ioodd7ka

Dataset for a Neural Natural Language Interface for Databases (NNLIDB) [article]

Florin Brad, Radu Iacob, Ionel Hosu, Traian Rebedea
2017 arXiv   pre-print
To this end, we introduce a large dataset extracted from the Stack Exchange Data Explorer website, which can be used for training neural natural language interfaces for databases.  ...  Progress in natural language interfaces to databases (NLIDB) has been slow mainly due to linguistic issues (such as language ambiguity) and domain portability.  ...  These results suggest that our dataset is indeed valuable for training the first end-to-end neural natural language interface for databases (NNLIDB) .  ... 
arXiv:1707.03172v1 fatcat:suqzjhvupjh3pnlimdj47ai3bu

Sevi: Speech-to-Visualization through Neural Machine Translation

Jiawei Tang, Yuyu Luo, Mourad Ouzzani, Guoliang Li, Hongyang Chen
2022 Proceedings of the 2022 International Conference on Management of Data  
In this demo, we present Sevi an end-to-end data visualization system that acts as a virtual assistant to allow novices to create visualizations through either natural language or speech.  ...  Sevi is powered by two main components: Speech2Text which is based on Google Cloud Speech-to-Text Rest API, and Text2VIS, which uses an end-to-end neural machine translation model called ncNet trained  ...  This work is supported by NSF of China (61925205, 61632016), Huawei, BNRist, TAL Education, and Zhejiang Lab's International Talent Fund for Young Professionals.  ... 
doi:10.1145/3514221.3520150 fatcat:nwgjbheanfbzzmlv2dho4f2pji

The history and recent advances of Natural Language Interfaces for Databases Querying

Khadija Majhadi, Mustapha Machkour, S. Krit
2021 E3S Web of Conferences  
So, the appearance of Natural Language Interfaces for Databases (NLIDB) is becoming a real need and an ambitious goal to translate the user's query given in Natural Language (NL) into the corresponding  ...  Also, it summarizes the main recent advances on the task of Natural Language Interfaces for databases.  ...  Natural Language Interfaces to Databases (NLIDB) Definition Natural Language Interface has been an interesting area of research.  ... 
doi:10.1051/e3sconf/202122901039 fatcat:5mb6cxh4nfgo7dn5rpuar7wu5a

Punjabi Language Interface to Database: a brief review [article]

Preeti Verma, Suket Arora, Kamaljit Batra
2013 arXiv   pre-print
The paper ends with the work done on Punjabi language interface to database and future enhancements that can be done.  ...  For a large number of applications requiring interaction between humans and the computer systems, it would be convenient to provide the end-user friendly interface.  ...  INTRODUCTION A natural language interface to a database (NLIDB) is a system that translates a sentence in natural language (e.g. Punjabi) into a database query.  ... 
arXiv:1306.4139v1 fatcat:gsa3ntxkzzctpdnkgrrcryiccy

Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning

Pararth Shah, Dilek Hakkani-Tur, Bing Liu, Gokhan Tur
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)  
End-to-end neural models show great promise towards building conversational agents that are trained from data and on-line experience using supervised and reinforcement learning.  ...  For goal-oriented dialogues, such datasets are expensive to collect and annotate, since each task involves a separate schema and database of entities.  ...  the outlines generated for dialogue interfaces to any database or third-party API.  ... 
doi:10.18653/v1/n18-3006 dblp:conf/naacl/ShahHLT18 fatcat:hcqveak5ena7rgi25wd73xjrf4

ValueNet: A Natural Language-to-SQL System that Learns from Database Information [article]

Ursin Brunner, Kurt Stockinger
2021 arXiv   pre-print
Building natural language (NL) interfaces for databases has been a long-standing challenge for several decades.  ...  We then use a neural model based on an encoder-decoder architecture to synthesize the SQL query.  ...  RELATED WORK Text-to-SQL Since the end of the 1970s, building natural language interfaces for databases (NLIDBs) has been a significant challenge.  ... 
arXiv:2006.00888v2 fatcat:iixxlvs6v5gd7jtrggsl3e5agy

The Design and Implementation of Intelligent English Learning Chabot based on Transfer Learning Technology

Nuobei Shi, Qin Zeng, Raymond Shu Tak Lee
2021 Advances in Science, Technology and Engineering Systems  
From implementation perspective, the Language Learning agent integrates into a WeChat mini-program to devise three user interface levels and to finetune transfer learning GPT-2 as back-end language model  ...  to generate responses for users.  ...  Acknowledgment The authors would like to thank for UIC DST for the provision of computer equipment and facilities.  ... 
doi:10.25046/aj060505 fatcat:rpcvv2pzofgjnloausyhqve7i4

Natural Language Querying and Visualization System [chapter]

Trishali Banerjee, Upasana Bhattacharjee, K. R. Jansi
2021 Advances in Parallel Computing  
Our project aims at integrating two systems, an NLP interface to fetch data from simple English queries, and a second system where the fetched data with the help of natural language processing is used  ...  The process of extracting information from a database is a mammoth task for non-technical users as it requires one to have extensive knowledge of DBMS language.  ...  Related Work Author Garima Singh and Arun Solanki in their paper "An algorithm to transform natural language into SQL queries for relational databases" have talked about ambiguity removal, that is a very  ... 
doi:10.3233/apc210251 fatcat:fs6abzlmh5eyhcv6gw652c5qri

Learning a Natural Language Interface with Neural Programmer [article]

Arvind Neelakantan, Quoc V. Le, Martin Abadi, Andrew McCallum, Dario Amodei
2017 arXiv   pre-print
Learning a natural language interface for database tables is a challenging task that involves deep language understanding and multi-step reasoning.  ...  The task is often approached by mapping natural language queries to logical forms or programs that provide the desired response when executed on the database.  ...  Acknowledgements We are grateful to Panupong Pasupat for answering numerous questions about the dataset, and providing pre-processed version of the dataset and the output of the semantic parser.  ... 
arXiv:1611.08945v4 fatcat:th73j7sqtzgfrl6ogf72dj2lc4

Photon: A Robust Cross-Domain Text-to-SQL System [article]

Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C.H. Hoi
2020 arXiv   pre-print
Natural language interfaces to databases (NLIDB) democratize end user access to relational data.  ...  Due to fundamental differences between natural language communication and programming, it is common for end users to issue questions that are ambiguous to the system or fall outside the semantic scope  ...  Acknowledgement We thank Dragomir Radev and Tao Yu for valuable research discussions; Melvin Gruesbeck for providing consultancy and frontend design mockups for the demo; Andre Esteva, Yingbo Zhou and  ... 
arXiv:2007.15280v2 fatcat:fpumed6cqva4porqqxiwuveqey

Towards a Natural Language Query Processing System [article]

Chantal Montgomery, Haruna Isah, Farhana Zulkernine
2020 arXiv   pre-print
The use of natural language interfaces to query information from databases offers the opportunity to bridge the communication challenges between end-users and systems that use formal query languages.  ...  This paper reports our study on the design and development of a natural language query interface to a backend relational database.  ...  The use of natural language interfaces for querying databases offers the opportunity to bridge the technological gap between end-users and systems that use formal query languages [6] .  ... 
arXiv:2009.12414v1 fatcat:wiz6fy4nvzbi3nhz4ey6434ds4

From Speech Recognition to Spoken Language Understanding

Victor Zue, James R. Glass, David Goodine, Lynette Hirschman, Hong C. Leung, Michael S. Phillips, Joseph Polifroni, Stephanie Seneff
1990 Neural Information Processing Systems  
Specifically, we report on the development of an urban navigation and exploration system called VOYAGER, an application which we have used as a basis for performing research in spoken-language understanding  ...  As computers play an ever increasing role in our lives, it is important that we address the issue of providing a graceful human-machine interface through spoken language.  ...  Application Interface to VOYAGER Once an utterance has been processed by the language understanding system, it is passed to an interface component which constructs a command function from the natural language  ... 
dblp:conf/nips/ZueGGHLPPS90 fatcat:uuyua7pokbbn5k44lfkjnkaxma

N2Sky - Neural Networks as Services in the Clouds [article]

Erich Schikuta, Erwin Mann
2014 arXiv   pre-print
The system implements a transparent environment aiming to enable both novice and experienced users to do neural network research easily and comfortably.  ...  We present the N2Sky system, which provides a framework for the exchange of neural network specific knowledge, as neural network paradigms and objects, by a virtual organization environment.  ...  N2Sky offers an easy to use interface for neural network researchers to extend the set of neural network paradigms.  ... 
arXiv:1401.2468v1 fatcat:lfgxtillkvetfg6xmrfugul6h4
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