Simone Conia
@ConiaSimone
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Assistant Professor in NLP x AI | Prev: @Apple
Joined November 2015
RT @daniel_js_lee: 🏖️ Ready for @emnlpmeeting? Come check out our papers from @Apple and @Adobe! 🌎 We dive into: (1) transcreation vs. tra…
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📄The proceedings of #NAACL2024 🇲🇽 are out and there are so many interesting papers to read! @naaclmeeting #NLProc #AI
https://t.co/ecChU6Oxqw
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🇲🇽 I'm in Mexico City this week for #NAACL2024! Feel free to ping me if you want to chat about #semantics, #multilinguality, and language-specific #LLMs!
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#NLPaperAlert: If you are in Malta for #EACL2024, check out our latest work on Sentence Alignment and Machine Translation! Great work led by @franmolfese and @SBejgu from @SapienzaNLP. #NLProc #AI 📄:
aclanthology.org
Francesco Maria Molfese, Andrei Stefan Bejgu, Simone Tedeschi, Simone Conia, Roberto Navigli. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguis...
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)
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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
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Thanks @WikiResearch for sharing! Our #emnlp2023 paper is also available on ACL Anthology now:
aclanthology.org
Simone Conia, Min Li, Daniel Lee, Umar Minhas, Ihab Ilyas, Yunyao Li. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
"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
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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.
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🎉 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
link.springer.com
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📄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:
arxiv.org
Recent work in Natural Language Processing and Computer Vision has been using textual information -- e.g., entity names and descriptions -- available in knowledge graphs to ground neural models to...
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✨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 🧵[5/n]
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🔍Our experiments show that #MachineTranslation, #WebSearch, and #LLMs still struggle in multilingual knowledge graph enhancement! 📈 That's why we introduce M-NTA to combine them and generate higher-quality outputs! 🧵[4/n]
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🥳I'm happy to present WikiKGE-10: a manually-curated, multilingual evaluation for increasing coverage and precision of textual information! 🌍WikiKGE-10 features over 35k entity names across 10 languages! 📎 WikiKGE-10 is now on GitHub: https://t.co/p2iRN7lDVE 🧵[3/n]
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⚠️The coverage of textual information in #KnowledgeGraphs is far from ideal in non-English languages, and their information is not always precise... 🧵[2/n]
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🧐How can we narrow the gap between English and non-English information in #KnowledgeGraphs? Apparently, #LLMs are still not the answer! 📄More in our #EMNLP2023 paper: https://t.co/BXSeKpClp6 🙏Thanks Min Li, @daniel_js_lee, @umarfm13, @ihabilyas, @yunyao_li! 🧵[1/n] #NLProc
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🤖Integrating #KnowledgeGraphs into neural #MT systems is simple and effective! 📄I'm glad to share another part of my internship @Apple has been accepted at as a #AAAI2024 demo. Preprint (+ follow-up?) out soon! #NLProc 🙏Thanks Min Li, @daniel_js_lee, @umarfm13, @yunyao_li!
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Important message: The LREC-COLING deadline was extended by one week to Oct 20. Please RT! https://t.co/eAijyrToT5
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Happy to share that my internship work @Apple has been accepted to #EMNLP2023 (main) 🥳 Details on “Increasing Precision and Coverage of Textual Information in Multilingual Knowledge Graphs” coming soon! #NLProc Thanks to Min Li, Daniel Lee, @umarfm13, @ihabilyas, @yunyao_li!
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🥳 Super excited at multiple #EMNLP2023 acceptance. Two by my summer interns @Apple: @ConiaSimone on growing multilingual KG and Farima Fatahi Bayat on factual error detection & correction. One with my former colleagues @IBMResearch on a novel labeling tool. Details coming soon.
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📣 So happy to announce my first #ACL paper! "Echoes from Alexandria: A Large Resource for Multilingual Book Summarization" 📄 https://t.co/zvhjeEC2UE w/ @ConiaSimone Simone Ciciliano and @RNavigli
@Babelscape @SapienzaNLP @ERC_Research
#ACL2023 #NLProc #BookSummarization
📣Check out our new #ACL2023 paper! "Echoes from Alexandria: A Large Resource for Multilingual Book Summarization" 📄 https://t.co/8nKxjrKMzK
@alescire94 @ConiaSimone SimoneCiciliano and @RNavigli
#ACL2023NLP #NLProc #BookSummarization #MultilingualNLP @ERC_Research 🧵 1/6
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