Join us today at #EACL2024 for our presentation entitled “CroCoAlign: A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts” in the Sentence-level Semantics track! #NLProc
(Radisson Blu, Carlson Ballroom, 5th floor, Malta)
Exciting strides in text summarization with LLMs 🚀but verifying their factual accuracy is still an open challenge 🤔 We introduce FENICE, a factuality-oriented metric for summarization with a strong focus on interpretability🔍https://t.co/jjEI6lbxzG
#NLProc#LLMs#Factuality
"Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs" data and models to improve multilingual entity names and descriptions in @Wikidata
(@ConiaSimone et al, 2023)
paper: https://t.co/pWqkTrLPjj
data: https://t.co/okoUuLKvpK
@SapienzaNLP
Very happy to see some of my interns @Apple again #EMNLP2023 🇸🇬. Getting to work with these brilliant young researchers is one favorite part of my job.
🎉 Thrilled that my latest #book co-authored with the late @dragomir_radev and @DavoodRafiei is published by @SpringerNature!
It covers both theory and practical applications that empower readers to build effective natural language interfaces. #NLProc
https://t.co/Hws2qREHjb
📄Our #EMNLP2023 paper on "Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs" is now available online!
🍎 Thanks again to all the amazing people @Apple for their contribution to this project!
➡️Link: https://t.co/BXSeKpClp6
✨We show that increasing the quantity and quality of multilingual information in #KnowledgeGraphs is a simple way to improve downstream results!
🖍️Our work stresses the importance of working on the quality of our data. #DataCentricAI
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