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#distributionalsemantics — Public Fediverse posts

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  1. My book review of "Lexical variation and change" by Geeraerts et al. is out on linguist list, check it out here:
    linguistlist.org/issues/35-340
    #linguistics #distributionalSemantics

  2. In 2013, Mikolov et al. (from Google) published word2vec, a neural network based framework to learn distributed representations of words as dense vectors in continuous space, aka word embeddings.

    T. Mikolov et al. (2013). Efficient Estimation of Word Representations in Vector Space. arXiv:1301.3781
    arxiv.org/abs/1301.3781

    #HistoryOfAI #AI #ise2024 #lecture #distributionalsemantics #wordembeddings #embeddings @sourisnumerique @enorouzi @fizise

  3. Besides Wittgenstein, we also quote linguist John Rupert Firth (1890–1960) with "You shall know a word by the company it keeps!" when introducing the principles of distributional semantics as the foundation for word embeddings and large language models.

    J.R. Firth (1957), A synopsis of linguistic theory, Studies in linguistic analysis, Blackwell, Oxford: cs.brown.edu/courses/csci2952d

    #lecture #llm #nlp #distributionalsemantics @fizise @fiz_karlsruhe @enorouzi @sourisnumerique @shufan #wittgenstein

  4. In lecture 05 of our #ise2024 lecture series, we are introducing the concept of distributed semantics and are referring (amongst others) to Ludwig Wittgenstein and his approach to the philosophy of language, and combine it with the idea of word vectors and embeddings.

    lecture slides: drive.google.com/file/d/1WcVlk

    #wittgenstein #nlp #wordembeddings #distributionalsemantics #lecture @fiz_karlsruhe @fizise @enorouzi @shufan @sourisnumerique #aiart #generativeai

  5. Getting ready to leave for #iclc16 in Düsseldorf, here a small teaser for my talk on Tuesday 14:45 on the #affix rivalry between -ity and -ness in #English:
    Why to some adjectives take -ity (insular -> insularity), while others take -ness (red -> redness)? Many factors have been considered, I use #distributionalSemantics to explore the role of the adjective's meaning. Mapping the vectors on a two dimensional space with t-SNE, a dimensionality reduction technique, the resulting visualization shows that adjective meaning might indeed be a highly relevant factor. For example, even for adjectives with the same ending -ive, the bases of those taking -ity (e.g. narrativity) and those taking -ness (distinctiveness) fall into two clear clusters.
    Looking forward to seeing some of you there :)
    #wordformation

  6. I somehow just learned about semantic folding
    Still trying to learn more about it, but what's really messing with my head is that word embeddings are matrices. Are there any interesting connections to be made between this approach and things like DisCoCat?

    #NLP #DistributionalSemantics #DisCoCat

    en.wikipedia.org/wiki/Semantic
    en.wikipedia.org/wiki/DisCoCat