From 853e6fbbedbaaf2af6072c395fcd1f855b2aeba4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tanja=20Samard=C5=BEi=C4=87?= Date: Thu, 21 Sep 2023 17:43:54 +0200 Subject: [PATCH] lecture1 --- 1.md | 39 +++++++++++++++++++++++++++++++++++---- figures/ELIZA.png | Bin 0 -> 93346 bytes figures/Meaning.png | Bin 0 -> 237182 bytes 3 files changed, 35 insertions(+), 4 deletions(-) create mode 100644 figures/ELIZA.png create mode 100644 figures/Meaning.png diff --git a/1.md b/1.md index 7236ab8..f673464 100644 --- a/1.md +++ b/1.md @@ -2,6 +2,14 @@ ## 1. Large language models (LLMs), Artificial Intelligence (AI) and Natural language processing (NLP), history of NLP +> Explanations, formulas, visualisations: +> - Britannica entry for [artificial intelligence](https://www.britannica.com/technology/artificial-intelligence) +> - Eisenstein 1.1 +> - Jurafsky-Martin [2](https://web.stanford.edu/~jurafsky/slp3/2.pdf) + + + +   @@ -12,17 +20,40 @@ inter +- NLP is an important part of artificial intelligence because language is the most prominent capacity of human intelligence. +- Another reason why language is central to AI is the famous Turing test. +- Linguistics was central to language processing in the past, before the introduction of machine learning. Currently we see a big gap between linguistics and NLP, but the potential for bridging this gap is still there. +- Language processing was one of the first application of machine learning and it remains a prominent challenge. -- Computational Linguistics is more about text **parsing**, NLP more about **end user** tasks. -- Machine learning is a set of methods and techniques used to parse text and perform end-user tasks. -- End-user tasks are an important part of artificial intelligence because language is the most prominent capacity of human intelligence. -(More explanations in Eisenstein) +  +### Human vs. machine language competence +   +hist + +[Source](https://www.researchgate.net/publication/226728046\_The\_Role\_of_Logic_and_Ontology_in_Language_and_Reasoning) + + +  + +hist + + +[Source](https://web.stanford.edu/~jurafsky/slp3/2.pdf) + + +- Humans use language to name (maybe even to form) concepts by abstracting from real objects and events +- Machines were able to imitate human language without any access to concepts and reality +- Modern machines do develop some concepts, but the relationship with the reality is still missing + + +  + ### Three big eras in the history of NLP diff --git a/figures/ELIZA.png b/figures/ELIZA.png new file mode 100644 index 0000000000000000000000000000000000000000..b8b943169edbf7ed01902b4217ee48932af4d7c5 GIT binary patch literal 93346 zcmeFY1y@|l)-DVLhoA`#jazVcLU4BrZUKTza0%}2?m+{=-Jx*^gy5FO-QDhDpL5^$ zjI;M0pi;9veIof@)v^Il+k_t=GM9@+l!pYW&kBtq)3jLb+GlO(0A`#;w z6m+S7R4go(OeB&>fADa=zZEW~+8e#M)!!?>R=`!Kh*w|t`-j&s?d8+b+kJp(IeNFs zzv_DQa6Ov#>u9w78Y=hqNP>)$vJKQ3@xm zR}P-1td(V`P{+2t!n(_e+h>^;n7mAMC^l#as$XUff&)9$jYo%CGCGtpU1Mf4vpR%4 z^wN~&eW>O;hh*eqB?#(UA%WZkya~S>HYfr$62)XVs7I2-TI3t;pJS}O$vJ4E}oYGy1 ze6Hnq&Ny>?8z5v&sw!R+>Sp%zBe>D=n;0GITL_c1gj_|<490ahTv^MjuPS2Up_EBN zpGQ-i3?J9n5lSMy;$p#7v-TOqFQr=43s9&MfrIdlaGYCsaxxIBq5C2N&wj$zk5kVl zy45q+38{jO$~Vp3YoI%24A9^3N?X@Ia+8y3+JFjh!?9FJzrD9sCsl~{OGT@$6`&!L 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