USC Information Sciences Institute的动态

Greed is All You Need: An Evaluation of Tokenizer Inference Methods Omri Uzan, Craig W. Schmidt, Chris Tanner, Yuval Pinter Abstract While subword tokenizers such as BPE and WordPiece are typically used to build vocabularies for NLP models, the method of decoding text into a sequence of tokens from these vocabularies is often left unspecified, or ill-suited to the method in which they were constructed. We provide a controlled analysis of seven tokenizer inference methods across four different algorithms and three vocabulary sizes, performed on a novel intrinsic evaluation suite we curated for English, combining measures rooted in morphology, cognition, and information theory. We show that for the most commonly used tokenizers, greedy inference performs surprisingly well; and that SaGe, a recently-introduced contextually-informed tokenizer, outperforms all others on morphological alignment. ?? https://lnkd.in/d-yQhEq8 #machinelearning

What do you think the most promising advancements lay just beyond sight in NLP? For me, it's the union of the traditional rigor of NLP and the fields of semiotics, which is the study of signs and symbols. This fusion has the potential to revolutionize the way we approach language understanding and generation. Share your thoughts!

Presentation for our project Wikipedia Articles insights ? https://lnkd.in/dpiyWqc6 This presentation explores the theory behind our implementation and explains some key architectures in NLP.

In NLP (Neuro-Linguistic Programming), a timeline refers to how we internally organise and experience time, including our memories of the past and our expectations for the future. It's not a literal timeline like those in history books but a mental framework shaping how we process and interact with time to improve our emotional state and achieve our goals. https://lnkd.in/gFWp44de

#UsefulLinkedin I'm about to start a research collaboration that needs NLP, and I was wondering if you knew a NLP/LLM method that would take as an input: - MAIN TEXT? - SHORT TEXT and would tell you what is the probability that the MAIN TEXT?has incorporated/has been influenced by the input from the SHORT TEXT. Would you know papers/packages/methodologies that tackle this specific task?

?? ?? ???????????? ???? ???????????? ?????????????????????? ?????????????? ???? ?????????? ???????????????? ???????????? ?????? ?????????????????? ?????? ?????????? ? In this paper, different prompting techniques are summarized, the performance of several prompting strategies on various datasets belonging to that NLP task are discussed ? In total, this survey considers 44 research papers, talk about 39 different prompting methods on 29 different NLP tasks of which most of them have been published in the last two years. ?? Paper https://lnkd.in/de8bRrr5 ?????????????? ??????????????

Basic concepts and Key Techniques for NLP.

Latent Semantic Analysis (LSA) is a powerful mathematical model that uncovers the underlying structure of language, offering insights into semantic relationships. It reduces the dimensionality of a term-document matrix using Singular Value Decomposition (SVD) to identify concepts, making it valuable for information retrieval, document classification, and cognitive science. LSA’s significance persists amidst advancements in deep learning and NLP.</div><div class="read-more"><a href="" class="more-link">Continue reading</a>https://lnkd.in/eaErkbkU

FREE MASTERCLASS ON THE FUNDAMENTALS OF NLP REGISTER NOW BEFORE SLOTS RUN OUT If you’re curious about NLP, make the decision to join our free session on the 12th July from 10 - 11am and learn how it can transform you and the way you perform in your life. https://lnkd.in/etfe4iD9

Gandhinagar ML-NLP is back with March meetup. ?? Agenda: Graphs and NLP?by?Ankush Chander This talk introduces application of graphs in NLP. It will cover following topics: 1. Intro to networkx, spacy 2. dependency graphs with Spacy 3. Pagerank algorithm and it"s application in text ?? Registration link: https://lnkd.in/d244-Sgz ?? online ?? 30th March ? 15:00 hrs IST #meetup