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Found 10 papers, 7 papers with code
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph
In this work, we present a web application named DBLPLink, which performs entity linking over the DBLP scholarly knowledge graph.
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
In this work, we analyse the role of output vocabulary for text-to-text (T2T) models on the task of SPARQL semantic parsing.
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
In this work we create a question answering dataset over the DBLP scholarly knowledge graph (KG).
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
To further improve the results, we instruct the model to produce a truncated version of the KG embedding for each entity.
A System for Human-AI collaboration for Online Customer Support
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 to understand the real intent of the user's question.
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools.
Modern Baselines for SPARQL Semantic Parsing
In this work, we focus on the task of generating SPARQL queries from natural language questions, which can then be executed on Knowledge Graphs (KGs).
PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs
In such a pipeline, Entity Linking (EL) is often the first step.
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation
They do not require additional curation as it is the case for the clean class tags used by current weakly supervised approaches and they provide textual context for the classes present in an image.
EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs
Many question answering systems over knowledge graphs rely on entity and relation linking components in order to connect the natural language input to the underlying knowledge graph.
