Search Results for author: Md Faisal Mahbub Chowdhury

Found 8 papers, 3 papers with code

KnowGL: Knowledge Generation and Linking from Text

no code implementations25 Oct 2022 Gaetano Rossiello, Md Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya, Owen Cornec, Alfio Massimiliano Gliozzo

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), such as Wikidata.

Navigate Sentence

KGI: An Integrated Framework for Knowledge Intensive Language Tasks

no code implementations8 Apr 2022 Md Faisal Mahbub Chowdhury, Michael Glass, Gaetano Rossiello, Alfio Gliozzo, Nandana Mihindukulasooriya

In this paper, we present a system to showcase the capabilities of the latest state-of-the-art retrieval augmented generation models trained on knowledge-intensive language tasks, such as slot filling, open domain question answering, dialogue, and fact-checking.

Fact Checking Open-Domain Question Answering +4

Applying a Generic Sequence-to-Sequence Model for Simple and Effective Keyphrase Generation

no code implementations14 Jan 2022 Md Faisal Mahbub Chowdhury, Gaetano Rossiello, Michael Glass, Nandana Mihindukulasooriya, Alfio Gliozzo

In recent years, a number of keyphrase generation (KPG) approaches were proposed consisting of complex model architectures, dedicated training paradigms and decoding strategies.

Keyphrase Generation Language Modelling

Cannot find the paper you are looking for? You can Submit a new open access paper.