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NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively

Ruijie Wang, Zhiruo Zhang, Luca Rossetto, Florian Ruosch, Abraham Bernstein

TL;DR

NLQxform-UI, a web-based natural language interface that enables users to query DBLP directly with complex natural language questions, and automatically translates given questions into SPARQL queries and executes the queries over the DBLP knowledge graph to retrieve answers.

Abstract

In recent years, the DBLP computer science bibliography has been prominently used for searching scholarly information, such as publications, scholars, and venues. However, its current search service lacks the capability to handle complex queries, which limits the usability of DBLP. In this paper, we present NLQxform-UI, a web-based natural language interface that enables users to query DBLP directly with complex natural language questions. NLQxform-UI automatically translates given questions into SPARQL queries and executes the queries over the DBLP knowledge graph to retrieve answers. The querying process is presented to users in an interactive manner, which improves the transparency of the system and helps examine the returned answers. Also, intermediate results in the querying process can be previewed and manually altered to improve the accuracy of the system. NLQxform-UI has been completely open-sourced: https://github.com/ruijie-wang-uzh/NLQxform-UI.

NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively

TL;DR

NLQxform-UI, a web-based natural language interface that enables users to query DBLP directly with complex natural language questions, and automatically translates given questions into SPARQL queries and executes the queries over the DBLP knowledge graph to retrieve answers.

Abstract

In recent years, the DBLP computer science bibliography has been prominently used for searching scholarly information, such as publications, scholars, and venues. However, its current search service lacks the capability to handle complex queries, which limits the usability of DBLP. In this paper, we present NLQxform-UI, a web-based natural language interface that enables users to query DBLP directly with complex natural language questions. NLQxform-UI automatically translates given questions into SPARQL queries and executes the queries over the DBLP knowledge graph to retrieve answers. The querying process is presented to users in an interactive manner, which improves the transparency of the system and helps examine the returned answers. Also, intermediate results in the querying process can be previewed and manually altered to improve the accuracy of the system. NLQxform-UI has been completely open-sourced: https://github.com/ruijie-wang-uzh/NLQxform-UI.
Paper Structure (5 sections, 2 figures)

This paper contains 5 sections, 2 figures.

Table of Contents

  1. Introduction
  2. Related Work
  3. The NLQxform-UI System
  4. System Effectiveness and Usefulness
  5. Conclusion and Future Work

Figures (2)

  • Figure 1: A diagram highlighting the difference between the existing NLQxform model and the proposed NLQxform-UI system.
  • Figure 2: The user interface of NLQxform-UI, demonstrating the four-step querying process for the question "please enumerate the authors of 'BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding' along with the venues where they have published other papers."