5 citations · 6 across the 5 of their papers we have counts for
5 papers
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
Debayan Banerjee, Pranav Ajit Nair, Ricardo Usbeck +1
In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing. We perform experiments within the the context of knowle…
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
Debayan Banerjee, Sushil Awale, Ricardo Usbeck +1
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 scien…
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
Debayan Banerjee, Pranav Ajit Nair, Ricardo Usbeck +1
In this work, we present an end-to-end Knowledge Graph Question Answering (KGQA) system named GETT-QA. GETT-QA uses T5, a popular text-to-text pre-trained language model. The model…
A System for Human-AI collaboration for Online Customer Support
Debayan Banerjee, Mathis Poser, Christina Wiethof +4
AI enabled chat bots have recently been put to use to answer customer service queries, however it is a common feedback of users that bots lack a personal touch and are often unable…
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
Debayan Banerjee, Seid Muhie Yimam, Sushil Awale +1
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…