With #LLM applications more abundant, have researchers been using them to assist their writing? We know they have when writing peer reviews [1], but how about doing so in writing their published papers?
Liang et al comes back to answer this question in [3]. They applied the same corpus-based methodology proposed in [2] on 950k papers published between 2020 to 2024, and the answer is a resounding YES, esp. in CS (up to 17.5%) (screenshot 1).
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Nice example of how important emphasis can be for language understanding. Depending on which word in the sentence below is emphasized, it completely changes its meaning.
For #LLMs (and for our #ise2024 lecture) this means that learning to understand language purely from written text is probably not an "easy" task....
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Here, the ChatGPT C-LARA-Instance, Belinda Chiera, Cathy Chua, Chadi Raheb, Manny Rayner, Annika Simonsen, Zhengkang Xiang, and Rina Zviel-Girshin use the #OpenSource#CLARA platform to evaluate #GPT4's ability to perform #linguistics#NLP tasks such as #segmentation, #lemmatization and #glossing.
Today I learnt about Masakhane, a 'grassroots NLP community for Africa, by Africans', helping make sure that the 2000+ languages and related names and cultures in the continent are represented in technology https://www.masakhane.io/#NLP#AI#MachineLearning#language
In the lead up to #ALTA2024
we're highlighting excellent talks and papers from previous ALTA events.
This paper, from Vlada Rozova, Jinghui Liu, and Mike Conway at #UniMelb from #ALTA2023, applies #NLP to help solve problems of ambiguity and complexity in #medical#clinical data.
This paper also formed part of the informative #tutorial series at #ALTA2023.
In the lead up to #ALTA2024, we're highlighting excellent talks and papers from previous ALTA events.
Here, listen to a #Keynote presentation from #ALTA2023 by Professor Heng Ji from #UniversityOfIllinois Urbana-Champaign, speaking to the #SmartBook - an #AI prophetess for disaster reporting and forecasting.
In this insightful talk, Professor Heng shows us how #NLP techniques provide better decision making tools.
Na niedzielnym spotkaniu, Gentoo Council zaaprobowało nową politykę dotyczącą zawartości tworzonej przy pomocy #AI:
"""
Zabrania się wnoszenia do Gentoo jakichkolwiek treści, które zostały utworzone przy pomocy narzędzi "sztucznej inteligencji" kategorii "przetwarzania języka naturalnego". Ta decyzja może zostać ponownie rozpatrzona, jeżeli pojawi się wniosek, wskazujący narzędzie tego typu, które nie rodzi wątpliwości w zakresie praw autorskich, etyki oraz jakości tworów.
""" (tłum. własne)
I find it properly disconcerting that many academics fell for the hype when clearly, it is purely the result of a very good lobbying effort on the part of Big Tech. So just to get things straight, here’s my personal experience of what happened in the field of Natural Language Processing (#NLP), starting back in 2017 (references at the end of the thread) 1/6
#AI#NLP#Schools#Education#USA#Texas: "Students in Texas taking their state-mandated exams this week are being used as guinea pigs for a new artificial intelligence-powered scoring system set to replace a majority of human graders in the region.
The Texas Tribune reports an “automated scoring engine” that utilizes natural language processing — the technology that enables chatbots like OpenAI’s ChatGPT to understand and communicate with users — is being rolled out by the Texas Education Agency (TEA) to grade open-ended questions on the State of Texas Assessments of Academic Readiness (STAAR) exams. The agency is expecting the system to save $15–20 million per year by reducing the need for temporary human scorers, with plans to hire under 2,000 graders this year compared to the 6,000 required in 2023.
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To clear up the hashtags a little bit:
Think of the components of a voice assistant / smartspeaker.
You need #stt (speech-to-text) or #asr (automatic speech recognition) on the "input" side of a user request and #tts (text-to-speech) on the "output" side.
To throw in another technology - #nlp (natural language processing) is used in the "middle" to really understand what the user request is all about.