publications

2023

1. BIR 2023

   DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph

   Debayan Banerjee, Sushil Awale, Ricardo Usbeck, and 1 more author

   13th International Workshop on Bibliometric-enhanced Information Retrieval co-located with the European Conference on Information Retrieval, BIR@ECIR 2023, Dublin, Ireland, April 1 2023

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   In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG). DBLP is an on-line reference for bibliographic information on major computer science publications that indexes over 4.4 million publications published by more than 2.2 million authors. Our dataset consists of 10,000 question answer pairs with the corresponding SPARQL queries which can be executed over the DBLP KG to fetch the correct answer. DBLP-QuAD is the largest scholarly question answering dataset.

2. SDU 2023

   ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System

   Debayan Banerjee, Seid Muhie Yimam, Sushil Awale, and 1 more author

   The AAAI-23 Workshop on Scientific Document Understanding co-located with the AAAI Conference on Artificial Intelligence, SDU@AAAI 2023, Online, February 14 2023

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   In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching for authors and articles by name and gaining insights into the research topics of a particular researcher. With the aid of AI-based tools, ARDIAS aims to recommend potential collaborators and topics to researchers. In the near future, we aim to add tools that allow researchers to communicate with each other and start new projects.

2022

1. EURASIA 2022

   Enriching Hindi WordNet Using Knowledge Graph Completion Approach

   Sushil Awale, and Abhik Jana

   In Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia co-located with the Language Resources and Evaluation Conference, EURASIA@LREC 2022 Marseille, France, June 20 Jun 2022

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   Even though the use of WordNet in the Natural Language Processing domain is unquestionable, creating and maintaining WordNet is a cumbersome job and it is even difficult for low resource languages like Hindi. In this study, we aim to enrich the Hindi WordNet automatically by using state-of-the-art knowledge graph completion (KGC) approaches. We pose the automatic Hindi WordNet enrichment problem as a knowledge graph completion task and therefore we modify the WordNet structure to make it appropriate for applying KGC approaches. Second, we attempt five KGC approaches of three different genres and compare the performances for the task. Our study shows that ConvE is the best KGC methodology for this specific task compared to other KGC approaches.

2. LSN 2022

   Preprocessing of Nepali News Corpus for Downstream Tasks

   Sushil Awale, Suraj Prasai, Birodh Rijal, and 1 more author

   Jun 2022

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   Text collected from online resources introduce a lot of errors which results in incorrect learning outcomes in automatic language learning tasks. In this paper, we discuss a Nepali text preprocessing pipeline to generate clean corpus. This pipeline is tested using a language model to observe impact of each steps in learning task. The relevancy of this work lies in systematizing the procedure in the development of standard Nepali corpus.