When Digital Humanities Meet Artificial Intelligence: Introduction - PowerPoint PPT Presentation

DHAI seminar, October 7, 2019 When Digital Humanities Meet Artificial Intelligence: Introduction Léa Saint-Raymond, ENS (DMA)

1. A brief history of the encounter DH-AI 2. The meeting points… 3. … and the issues / tensions behind

1.A brief history of the encounter DH-AI 2. The meeting points… 3. … and the issues / tensions behind

1886: linear regression (Francis Galton) « Digital humanities » 1904: factor analysis (Charles Spearman) 2004 1906: Markov chain 2007 Big data AI winter 1969 1950 2012 1997 Minsky & Papert 1980 Alan Turing Conceptual clustering Deep Blue vs. « Artificial intelligence » (R. Michalski) Kasparof New algorithms: 1956: Alpha-bêta pruning (J. McCarthy) ImageNet Challenge, victory 1957: perceptron (F. Rosenblatt) of an artificial neural network 1959: Dijkstra’s algorithm (E. Dijkstra) 1963: support vector machine (SVM) 2016 1964-1966: 1st chatbot ELIZA Supervised learning: 1986: ID3 algorithm (R. Quinlan) Success of SVM 1988: TD-lambda algorithm – reinforcement learning (R. Sutton) 1992: ant colony optimization (M. Dorigo) AlphaGo vs. 1992: kernel trick (Vapnik, Boser, Guyon) Lee Sedol

1. A brief history of the encounter DH-AI 2.The meeting points… 3. … and the issues / tensions behind

Texts Images Natural language processing

Texts Images Natural language processing • Lexicometrics (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics « Culturomics » (Michel & al., 2010) (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics (Klingenstein, Hitchcock, DeDeo, 2014) (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis (Voigt & al., 2017) (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks • Word embedding (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks • Word embedding Theodoric the Great (Bjerva & Praet, 2015) (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) History Sociology (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) History Sociology (Fligstein & al, 2017) (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) History Economics Sociology (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) History Economics Sociology (Cagé & al., 2017)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis Art history • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) History Economics Sociology (Cointet Parasie, 2018)

Texts Images Natural language processing • Lexicometrics • Sentiment analysis Art history • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) History Economics Sociology (Cao & Fei-Fei, 2007)

Texts Images Natural language processing Deep learning • Lexicometrics • Sentiment analysis Art history • Stylistic analysis • Semantic networks • Word embedding • Topic models (David Blei) History Economics Sociology (EnHerit project)

1. A brief history of the encounter DH-AI 2. The meeting points… 3.… and the issues / tensions behind

• AI in DH: the end of human interpretation?

• AI in DH: the end of human interpretation? Parametric regressions vs. supervised learning (Boelaert and Ollion, 2018)

• AI in DH: the end of human interpretation? • Does « Data deluge » benefit DH researchers ?

• AI in DH: the end of human interpretation? • Does « Data deluge » benefit DH researchers ?

• AI in DH: the end of human interpretation? • Does « Data deluge » benefit DH researchers ? • Institutional issues