Fabio Petroni: I'm excited to present KILT, a benchmark for Knowledge Intensive Language Tasks. 11 datasets, 5 task families, a unified knowledge source and interface -> https://arxiv.org/abs/2009.02252. Collaboration b/w @facebookai @ucl_nlp @labo_Loria @cambridgenlp @huggingface @AmsterdamNLP 🚀 [1/6] https://t.co/VEjUDf7now
3 replies, 418 likes
Patrick Lewis: We’re releasing KILT today, a set of tools and data for knowledge intensive NLP. It will make it easier to develop and evaluate systems that need to retrieve and process knowledge precisely. We’re really excited about this effort! Big kudos to the KILT mastermind @Fabio_Petroni
0 replies, 82 likes
Antoine Bordes: KILT or how to foster progress in Knowledge-based NLP by combining 5 types of tasks, 11 datasets with the same knowledge source (6 millions Wikipedia articles)!
0 replies, 32 likes
James Thorne: Was a pleasure to work with a great team lead by @Fabio_Petroni at @facebookai building KILT - a benchmark for Knowledge Intensive Language Tasks. What an awesome way to link so many NLP tasks against a common @Wikipedia knowledge source
0 replies, 27 likes
Yacine Jernite: I am so excited for this work by @Fabio_Petroni @olapiktus and many other cool folks, it will be an invaluable tool to develop models that reliably use knowledge from large text bases.
You can even get the data in just a couple LOC from🤗nlp, check it out!
0 replies, 23 likes
WikiResearch: A benchmark for knowledge-intensive language tasks (KILT), all grounded in the same snapshot of #Wikipedia.
0 replies, 21 likes
Tim Rocktäschel: Important step for evaluating and developing general models that learn to utilize human knowledge in large textual collections like Wikipedia 👇
0 replies, 18 likes
Ola Piktus: KILT - a benchmark for Knowledge Intensive Language Tasks goes live today 🎉 Congrats @Fabio_Petroni and the team!
0 replies, 16 likes
Nicola De Cao: KILT a new benchmark for knowledge intensive tasks! Super nice work by @Fabio_Petroni and others at @facebookai of unifying so many datasets under the same format and aligning them to the same knowledge source! Let's start tracking progress of retrievers and NLU system on KILT 😊
0 replies, 14 likes
AK: KILT: a Benchmark for Knowledge Intensive Language Tasks
abs: https://arxiv.org/abs/2009.02252 https://t.co/ZCeXfFnPPJ
0 replies, 8 likes
HotComputerScience: Most popular computer science paper of the day:
"KILT: a Benchmark for Knowledge Intensive Language Tasks"
0 replies, 7 likes
FEVERworkshop: We're excited to announce that the @FEVERworkshop dataset is part of the KILT benchmark with @facebookai
0 replies, 6 likes
Leo Boytsov: "To catalyze research on models that condition on specific information in large textual resources we present benchmark for knowledge-intensive language tasks (KILT): task are grounded in the same snapshot of Wiki, reducing engineering turnaround through the re-use of components"
0 replies, 4 likes
HubBucket: #HealthIT | Download the #KILT #Research Paper for FREE, on @arxiv
#KILT is a Benchmark for Knowledge Intensive Language Tasks
🔵Natural Language Processing - #NLP/#NLProc
🟣#MachineLearning - #ML
🖥️https://arxiv.org/abs/2009.02252 | @FacebookAI
@HubBucket @ProsumerSoft @HubMedX https://t.co/Qzj4nCnHZN
0 replies, 4 likes
Found on Sep 07 2020 at https://arxiv.org/pdf/2009.02252.pdf