14 citations · 71 across the 25 of their papers we have counts for
17 papers · 1 filter
StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation
Satyananda Kashyap, Sola Shirai, Nandana Mihindukulasooriya +1
Extracting structured information from text, such as key-value pairs that could augment tabular data, is quite useful in many enterprise use cases. Although large language models (…
Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
Nandana Mihindukulasooriya, Sanju Tiwari, Carlos F. Enguix +1
The recent advances in large language models (LLM) and foundation models with emergent capabilities have been shown to improve the performance of many NLP tasks. LLMs and Knowledge…
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
Bum Chul Kwon, Nandana Mihindukulasooriya
Pre-trained transformer-based language models are becoming increasingly popular due to their exceptional performance on various benchmarks. However, concerns persist regarding the…
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text
Hanieh Khorashadizadeh, Nandana Mihindukulasooriya, Sanju Tiwari +2
Knowledge graphs can represent information about the real-world using entities and their relations in a structured and semantically rich manner and they enable a variety of downstr…
KnowGL: Knowledge Generation and Linking from Text
Gaetano Rossiello, Md Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya +2
We propose KnowGL, a tool that allows converting text into structured relational data represented as a set of ABox assertions compliant with the TBox of a given Knowledge Graph (KG…
CBR-iKB: A Case-Based Reasoning Approach for Question Answering over Incomplete Knowledge Bases
Dung Thai, Srinivas Ravishankar, Ibrahim Abdelaziz +7
Knowledge bases (KBs) are often incomplete and constantly changing in practice. Yet, in many question answering applications coupled with knowledge bases, the sparse nature of KBs…