How I Got Here - NLP, Geospatial, and beyond / NAIST NLP

Slide 1

Slide 1 text

How I Got Here SCONJ PRON VERB ADV NLP, Geospatial, and beyond advmod nsubj advmod @sorami 2025-05-16 Nara Institute of Science and Technology

Slide 2

Slide 2 text

Hello NAIST NLP! ¥HISAMOTO Sorami ٱຊۭւ ¥NAIST, 2012-2014 Matsumoto Lab Predecessor of Watanabe Lab ¥MIERUNE Inc. Software Engineer Web, Geospatial, Visualization ¥Lives in Hokkaido

Slide 3

Slide 3 text

How I Got Here SCONJ PRON VERB ADV advmod nsubj advmod

Slide 4

Slide 4 text

Hokkaido ๺ւಓ 21st biggest island in the world 83,424 km² 22% of Japan 5.3 million people 4.2% of Japan

Slide 5

Slide 5 text

Higashikawa ౦઒ொ Sapporo ࡳຈࢢ

Slide 6

Slide 6 text

https:@Awww.openstreetmap.org/relation/4061071 Half of the town is in the National Park

Slide 7

Slide 7 text

No content

Slide 8

Slide 8 text

Asahi-dake, the tallest mountain in Hokkaido 2024-06-16

Slide 9

Slide 9 text

2025-04-12

Slide 10

Slide 10 text

btw,

Slide 11

Slide 11 text

Just got married!

Slide 12

Slide 12 text

¥HISAMOTO Sorami ٱຊۭւ ¥NAIST, 2012-2014 Matsumoto Lab Predecessor of Watanabe Lab ¥MIERUNE Inc. Software Engineer Web, Geospatial, Visualization ¥Lives in Hokkaido

Slide 13

Slide 13 text

¥SHIROMIZU Sorami നਫۭւ ¥NAIST, 2012-2014 Matsumoto Lab Predecessor of Watanabe Lab ¥MIERUNE Inc. Software Engineer Web, Geospatial, Visualization ¥Lives in Hokkaido

Slide 14

Slide 14 text

¥SHIROMIZU Sorami നਫۭւ ¥NAIST, 2012-2014 Matsumoto Lab Predecessor of Watanabe Lab ¥MIERUNE Inc. Software Engineer Web, Geospatial, Visualization ¥Lives in Hokkaido → To Bangkok, Thailand (from next week É!)

Slide 15

Slide 15 text

¥ 2014-2016 BrainPad Data Scientist ¥ 2017-2020 Works Applications R&D Engineer Tokushima Laboratory of AI and NLP ¥ 2018-2019 Johns Hopkins University Researcher Center for Language and Speech Processing ¥ 2020-2022 Legalscape Software Engineer ¥ 2022-2025 MIERUNE

Slide 16

Slide 16 text

How I Got Here SCONJ PRON VERB ADV advmod nsubj advmod

Slide 17

Slide 17 text

TodayÕs Agenda 17 ¥NLP & I ¥NLP → Geospatial / Visualization ¥Introduction to Geospatial ¥Geo x NLP

Slide 18

Slide 18 text

2012-2014 NAIST Nara Institute of Science & Technology

Slide 19

Slide 19 text

No content

Slide 20

Slide 20 text

No content

Slide 21

Slide 21 text

No content

Slide 22

Slide 22 text

Illustration generated by ChatGPT Time flies like an arrow É!

Slide 23

Slide 23 text

NLP Natural Language Processing

Slide 24

Slide 24 text

24 https:@Awww.anlp.jp/en/

Slide 25

Slide 25 text

25 https:@Aobservablehq.com/@sorami/nenji-stat

Slide 26

Slide 26 text

No content

Slide 27

Slide 27 text

No content

Slide 28

Slide 28 text

NLP 2013 @ Nagoya (my first Nenji-taikai) 246 talks, 625 participants

Slide 29

Slide 29 text

No content

Slide 30

Slide 30 text

NLP 2025 @ Nagasaki 777 talks 2,309 participants

Slide 31

Slide 31 text

Why NLP ?

Slide 32

Slide 32 text

NLP & I

Slide 33

Slide 33 text

33 ¥2012-2014 NAIST Parsing & Word Representations ¥2017-2020 WAP Tokushima NLP Sudachi & chiVe - tokenizer & embedding ¥2018-2019 Johns Hopkins University Machine Translation & Privacy ¥2020-2022 Legalscape LegalTech - Law & NLP

Slide 34

Slide 34 text

Parsing & Word Representations NAIST, 2012-2014 34 https:@Aspeakerdeck.com/sorami/parsing-the-web-with-deep-learning

Slide 35

Slide 35 text

Parsing & Word Representations NAIST, 2012-2014 35 Poster at the 13th International Conference on Parsing Technologies (IWPT 2013)

Slide 36

Slide 36 text

Parsing & Word Representations NAIST, 2012-2014 36 ݴޠॲཧֶձୈ19ճ೥࣍େձ (NLP2013)

Slide 37

Slide 37 text

Sudachi & chiVe - tokenizer & embedding WAP Tokushima NLP, 2017-2020 37 https:@Aspeakerdeck.com/sorami/sudachi-elasticsearch

Slide 38

Slide 38 text

Sudachi & chiVe - tokenizer & embedding WAP Tokushima NLP, 2017-2020 38 https:@Aspeakerdeck.com/sorami/sudachi-elasticsearch

Slide 39

Slide 39 text

Sudachi & chiVe - tokenizer & embedding WAP Tokushima NLP, 2017-2020 39 https:@Azenn.dev/sorami/articles/c9a506000fd1fbd1cf98

Slide 40

Slide 40 text

Sudachi & chiVe - tokenizer & embedding WAP Tokushima NLP, 2017-2020 40 https:@Aspeakerdeck.com/sorami/chive-zhi-pin-li-yong-ke-neng-nari-ben-yu-dan-yu-bekutoruzi-yuan-falseshi-xian-hexiang-kete

Slide 41

Slide 41 text

Sudachi & chiVe - tokenizer & embedding WAP Tokushima NLP, 2017-2020 41 ୈ16ճςΩετΞφϦςΟΫεɾγϯϙδ΢Ϝ (2020)  ݴޠཧղͱίϛϡχέʔγϣϯݚڀձ ༏लݚڀ৆(Best Paper Award) LREC 2018

Slide 42

Slide 42 text

Machine Translation & Privacy Johns Hopkins University, 2018-2019 42 https:@Aspeakerdeck.com/sorami/acl2020-membership-inference-attacks-on-sequence-to-sequence-models-is-my-data-in-your-machine-translation-system

Slide 43

Slide 43 text

Machine Translation & Privacy Johns Hopkins University, 2018-2019 43 https:@Aspeakerdeck.com/sorami/acl2020-membership-inference-attacks-on-sequence-to-sequence-models-is-my-data-in-your-machine-translation-system

Slide 44

Slide 44 text

Machine Translation & Privacy Johns Hopkins University, 2018-2019 44 TACL 2020

Slide 45

Slide 45 text

LegalTech - Law & NLP Legalscape, 2020-2022 45 https:@Awww.legalscape.jp/ https:@Awww.legalscape.co.jp/

Slide 46

Slide 46 text

LegalTech - Law & NLP Legalscape, 2020-2022 46 ݴޠॲཧֶձୈճ೥࣍େձ (NLP2022) Verification of machine-processed pseudonymization of legal precedents toward appropriate open data in civil cases https:@Anote.com/legalscape/n/nf6341940deaa

Slide 47

Slide 47 text

LegalTech - Law & NLP Legalscape, 2020-2022 47

Slide 48

Slide 48 text

LegalTech - Law & NLP Legalscape, 2020-2022 48

Slide 49

Slide 49 text

What I Do Now

Slide 50

Slide 50 text

No content

Slide 51

Slide 51 text

https:@Awww.mierune.co.jp/

Slide 52

Slide 52 text

¥Geospatial technology company ¥Since 2016, HQ in Hokkaido ¥36 members as of 2025.05

Slide 53

Slide 53 text

53 https:@Ads.yahoo.co.jp/ Flow of People Yahoo! JAPAN MineCraft Sapporo, Takamatsu, etc. AIST 3DDB Client AIST ࢈૯ݚ www.digiarc.aist.go.jp/team/gsvrt/information/aist-3ddb-client/ https:@Atakamatsu-mymachi.jp/ Project PLATEAU MLIT ࠃ౔ަ௨ল https:@Agithub.com/Project-PLATEAU/mapengine-survey

Slide 54

Slide 54 text

Heritage Map ಸྑจԽࡒݚڀॴ Find cultural properties and ruins on the web map 54 https:@Aheritagemap.nabunken.go.jp/

Slide 55

Slide 55 text

Rekichizu Modern-style Historical Map 55 https:@Arekichizu.jp/

Slide 56

Slide 56 text

Rekichizu Modern-style Historical Map 56 https:@Aspeakerdeck.com/hjmkth/231129-foss4g-asia-2023-kato

Slide 57

Slide 57 text

ÒBirth of SapporoÓ Special Website Collaboration with a historical novel 57 ໳Ҫܚتʰࡳຈ஀ੜʱʢՏग़ॻ๪৽ࣾ, 2025ʣ https:@Asapporo-tanjo.rekichizu.jp/

Slide 58

Slide 58 text

ÒBirth of SapporoÓ special website Collaboration with a historical novel 58 ໳Ҫܚتʰࡳຈ஀ੜʱʢՏग़ॻ๪৽ࣾ, 2025ʣ https:@Asapporo-tanjo.rekichizu.jp/

Slide 59

Slide 59 text

Finding ancient tombs With geospatial data and machine learning models 59 https:@Awww.nikkei.com/article/DGXZQOUF134BP0T11C23A2000000/ https:@Awww.fujitv.co.jp/sekainonandakore/archive/20250423.html

Slide 60

Slide 60 text

Commercial Company, Born from OSS Community Founded by the committee members of ÒFOSS4G HokkaidoÓ 60 Image: https:@Atwitter.com/howmori/status/1150064830851645440

Slide 61

Slide 61 text

61 FOSS4G Free and Open Source Software for Geospatial

Slide 62

Slide 62 text

62 https:@A2025.foss4g.org/

Slide 63

Slide 63 text

We ❤ Open Source! 63 https:@Adev.to/mierune https:@Agithub.com/MIERUNE/ https:@Aqiita.com/organizations/MIERUNE

Slide 64

Slide 64 text

Financial & Operational Contributions If you want to go far, go together 64 QGIS Desktop geospatial software €32,000 2017~ + over €6,600 w/ certificate program In 2025, Medium→Large: €9,000/year MapLibre Web map library project $40,000 2022~ ※The first sponsor in the world Others - AWS, Meta, Microsoft, etc.

Slide 65

Slide 65 text

Financial & Operational Contributions If you want to go far, go together 65 ¥QGIS Country User Group, Voting Member ¥MapLibre, Voting Member ¥OSGeo Foundation, Charter Member ¥OSGeo.JP, Company Member ¥etc., ...

Slide 66

Slide 66 text

Internship If you are interested, come talk to us! 66 https:@Anote.com/mierune/m/m0352153f87dd

Slide 67

Slide 67 text

What I Do Now Personally

Slide 68

Slide 68 text

https:@Asorami.dev/

Slide 69

Slide 69 text

A People Map of Japan City names are replaced by their most WikipediaÕed person 69 https://sorami.dev/2021/people-map-japan/

Slide 70

Slide 70 text

Japanese from Hokkaido to Okinawa Population of the cities along latitude (north-south) 70 https://observablehq.com/@sorami/japanese-from-hokkaido-to-okinawa

Slide 71

Slide 71 text

HOKKAIDLE Spot the cities in Hokkaido - Inspired by WORDLE 71 https://sorami.dev/hokkaidle/

Slide 72

Slide 72 text

Country ÒShiritoriÓ Japanese word chain game, based on last sound 72 https://sorami.dev/city-shiritori/

Slide 73

Slide 73 text

The ÒRoundestÓ Lake in Japan Uses geospatial techniques and gradient descent 73 https://zenn.dev/mierune/articles/9f970dc3e61a66

Slide 74

Slide 74 text

N NLP Geo Vis

Slide 75

Slide 75 text

N NLP Geo Vis ???

Slide 76

Slide 76 text

76 https:@Adailyportalz.jp/kiji/reading-dictionary

Slide 77

Slide 77 text

77 https:@Adailyportalz.jp/kiji/reading-dictionary "What's interesting about reading a dictionary cover to cover?" Nishimura Masayuki, Daily Portal Z 2021-12-09

Slide 78

Slide 78 text

78 https:@Adailyportalz.jp/kiji/reading-dictionary ਫ໺ɿ͋ͱɺࣙయ͕޷͖ͳਓ͸ɺ ɹɹɹՋͳ࣌ʹάʔάϧϚοϓݟΔઆɻ Mizuno: Also, people who like dictionaries probably look at Google Maps in their free time. ੢ଜɿݟ·͢Ͷʂ Nishimura: Yes!

Slide 79

Slide 79 text

79 https:@Adailyportalz.jp/kiji/reading-dictionary Ҵ઒ɿ࣮͸ɺ஍ਤ΋ ɹɹʮݱ࣮ͷ΋ͷΛͳΔ͚ͩਖ਼֬ʹॻ͖ࣸͯ͠ɺ ͲͷΑ͏ʹ·ͱΊͯදݱ͢Δͷ͔ʯ ͱ͍͏ͱ͜Ζ͸ɺࣙయͱڞ௨͢Δͱ͜Ζ͕͋ΔΜͰ͢ΑͶɻ Inagawa: Actually, maps have something in common with dictionaries in that they involve copying real things as accurately as possible and then figuring out how to summarize and express them.

Slide 80

Slide 80 text

80 ৫ా෢༤ʰ஍ਤͷྺ࢙ ੈքฤɾ೔ຊฤʱ, p.15 ߨஊֶࣾज़จݿ, 2018 ஍ਤͷྺ࢙͸ݹ͍ɻ ਓྨͷ࠷΋وॏͳจԽҨ࢈Ͱ͋ΔจࣈΑΓ΋ݹ͍ͱ͍ΘΕΔɻ “ ” The history of maps is old. It is said to be older than the most precious cultural heritage of mankind, writing.

Slide 81

Slide 81 text

81 ʰσʔλࢹ֮Խͷਓྨ࢙ʱ ϑϨϯυϦʔˍ΢ΣΠφʔʢ൧ౢوࢠ༁ʣ ੨౔ࣾ, 2021 “A History of Data Visualization & Graphic Communication”

Slide 82

Slide 82 text

Wall paintings in the Lascaux Caves Estimated to be 17,300 years old 82 Image: Prof saxx / Wikimedia

Slide 83

Slide 83 text

83 ྺ࢙Λ௨ͯ͡ɺਓʑͷߟ͑΍ݱ৅͸ ࡾͭͷܗଶͰදݱ͞Ε͖ͯͨɻ ͢ͳΘͪɺݴ༿ɺ਺ࣈɺͦͯ͠ਤ৅Ͱ͋Δɻ “ ” Throughout history, people's ideas and phenomena have been expressed in three forms: words, numbers, and images. p.21-22

Slide 84

Slide 84 text

Anaximander's World Map (Reconstruction) Circa 500 BCE 84 Image: Bibi Saint-Paul / Wikimedia

Slide 85

Slide 85 text

85 ࣌୅Λ͞ΒʹਐΊΔͱɺࢹ֮Խͷ࣍ͷൃలظ͸ɺ ࠓͰ͸ਤදͱ͔ॳظͷ஍ਤͱݺ͹Ε͍ͯΔ΋ͷ ÑֆͰදݱ͞Ε͍ͯͳ͕Β΋ந৅తͳ৘ใΛද͍ͯ͠ΔÑ Ͱىͬͨ͜ɻ “ ” Moving further in time, the next development in visualization occurred with what we now call charts and early maps Ñpictorial yet abstract representations of information. p.27

Slide 86

Slide 86 text

86 ¥Both ÒlanguageÓ and ÒmapÓ are Tools for Thought ¥Human cognition is limited by the structure of the human body ¥Still, tools and concepts allow us to think the unthinkable

Slide 87

Slide 87 text

N NLP Geo Vis

Slide 88

Slide 88 text

3 years ago (around 2021) While doing NLP, visualization as a hobby... 88 My skectes while I was learning Amelia Wattenberger’s “Fullstack D3 and Data Visualization” course

Slide 89

Slide 89 text

Naturally, this leads to an interest in maps... 89

Slide 90

Slide 90 text

John Snow's Cholera Map 1854 A pioneer in ÒData VisualizationÓ 90 en.wikipedia.org/wiki/File:Snow-cholera-map-1.jpg (public domain) ¥ Cholera outbreak in 19th century London ¥ The mechanism of infection was unclear based on the scientific knowledge at the time ¥ Dr. Snow plotted the patient's homes on a map and discovered a correlation between the number of infected people around a certain well

Slide 91

Slide 91 text

Then, I joined a new online community ÒLearning Data Visualization with the CommunityÓ 91 https:@Adata-viz-manabiba.visualizing.jp

Slide 92

Slide 92 text

In that community É 92 FURUKAWA Yasuto MIERUNE co-founder We run a geospatial & visualization company called MIERUNE in Hokkaido

Slide 93

Slide 93 text

Then, I went to give a talk at their event Without knowing anyone, I jumped in and signed up to be a speaker 93 https:@Aspeakerdeck.com/sorami/mierune-meetup-mini-number-01

Slide 94

Slide 94 text

Then, I went to give a talk at their event Without knowing anyone, I jumped in and signed up to be a speaker 94 https:@Aspeakerdeck.com/sorami/mierune-meetup-mini-number-01 This is how I joined MIERUNE and moved to Hokkaido !!!

Slide 95

Slide 95 text

By coincidence, at the same time É I joined NAIST in 2012, Ouchi-san joined in 2013 95 https:@Ax.com/blankeyelephant/status/1498197522548150275 Awarded a KAKENHI B grant for our research on computational understanding of text and grounding it on real-world maps É “ ”

Slide 96

Slide 96 text

96 https:@Anote.com/mierune/n/nbffaebc4b1d7 https:@Anote.com/mierune/n/n02e261e96f25

Slide 97

Slide 97 text

97 https:@Aanlp.jp/nlp2025/

Slide 98

Slide 98 text

Crossed Pathes

Slide 99

Slide 99 text

WAP Tokushima NLP, 2017- 99 https:@Awww.nikkei.com/article/DGXLZO12701880Y7A200C1TI5000/ ¥ Lab opened in February 2017 ¥ Prof. Matsumoto as technical advisor ¥ At the time, I had just quit my job without deciding on a next one ¥ He introduced me to this new lab, then I joined in June 2017

Slide 100

Slide 100 text

Johns Hopkins University, 2018- 100 ¥ Kevin Duh was my supervisor at Matsumoto Lab (2012-2014) ¥ He then moved to JHU ¥ He saw our work on Sudachi and Elasticsearch (full-text search) ¥ He was doing a project involving Information Retrieval; Then he invited me to JHU https:@Awww.cs.jhu.edu/~kevinduh/

Slide 101

Slide 101 text

Legalscape, 2020- 101 I got to know this person via this Pull Request https:@Agithub.com/WorksApplications/elasticsearch-sudachi/pull/60

Slide 102

Slide 102 text

Legalscape, 2020- 102 https:@Agithub.com/WorksApplications/elasticsearch-sudachi/pull/60 He is the CTO and co-founder of Legalscape NLP at Tokyo U. / NII Aizawa Lab

Slide 103

Slide 103 text

Legalscape, 2020- 103 https:@Anote.com/legalscape/n/nf9f4c249f24e

Slide 104

Slide 104 text

Be grateful, Cherish relationships!

Slide 105

Slide 105 text

Geospatial A quick tour

Slide 106

Slide 106 text

Data

Slide 107

Slide 107 text

What is ÒGeospatialÓ Data? ஍ཧۭؒ৘ใ All kinds of data on (and under) the Earth (and other planets) 107

Slide 108

Slide 108 text

What is ÒGeospatialÓ Data? ஍ཧۭؒ৘ใɾҐஔ৘ใ All kinds of data on (and under) the Earth (and other planets) 108 Ò80% of Data is GeographicÓ

Slide 109

Slide 109 text

What is ÒGeospatialÓ Data? All kinds of data on (and under) the Earth (and other planets) 109 Location Point, Line, Polygon Properties + Name, Year, ID, É (Can be anything)

Slide 110

Slide 110 text

What is ÒGeospatialÓ Data? All kinds of data on (and under) the Earth (and other planets) 110 https:@Amaps.gsi.go.jp/ Satellite Imagery and Aerial Photos are also Geospatial Data (raster data)

Slide 111

Slide 111 text

Data: OpenStreetMap 2004~ Free Wiki world map (ÒWikipediaÓ of Map) 111 https:@Awww.openstreetmap.org/

Slide 112

Slide 112 text

Data: Mapillary 2013~ Street Images (like Google Street View) - acquired by Meta in 2020 112 https:@Awww.mapillary.com/

Slide 113

Slide 113 text

Data: Overture Maps Foundation 2022~ Company alliance, founded by AWS, Meta, Microsoft, & TomTom 113 https:@Aoverturemaps.org/ ¥ Addresses ¥ Base water, land, land use, infrastructure, land cover ¥ Buildings ¥ Divisions ¥ Places ¥ Transportation

Slide 114

Slide 114 text

Project PLATEAU 2020~ Create and utilize 3D city models of Japanese cities Led by the government (MLIT: Ministry of Land, Infrastructure, Transport & Tourism - ࠃ౔ަ௨ল) 114 https:@Aplateauview.mlit.go.jp/

Slide 115

Slide 115 text

Project PLATEAU 2020~ 115 https:@Aspeakerdeck.com/sorami/foss4g-asia-2024

Slide 116

Slide 116 text

GIS

Slide 117

Slide 117 text

What is ÒGISÓ? 117 Geographic Information System A system to view, create, edit, or analyze geospatial data ※May refer to ÒGeographic Information ScienceÓ instead

Slide 118

Slide 118 text

118 Desktop GIS WebGIS ¥ Software to be installed on a PC ¥ Advanced analysis, etc. possible ¥ Via a web brower ¥ No need to install, easy to view

Slide 119

Slide 119 text

Dekstop GIS: ÒQGISÓ Free and open source software - since 2002 119 https:@Aqgis.org/

Slide 120

Slide 120 text

120

Slide 121

Slide 121 text

121 Public Transport ÒGTFS-GOÓ plugin Earth Observation ÒJAXA Earth APIÓ plugin ※ Both plugins developed by MIERUNE

Slide 122

Slide 122 text

QGIS LAB by MIERUNE Lots of articles on various topics (in Japanese) 122 https:@Aqgis.mierune.co.jp/

Slide 123

Slide 123 text

WebGIS: MapLibre/Mapbox GL JS 2D/2.5D interactive maps 123 https:@Amaplibre.org/ https:@Awww.asahi.com/special/jiko-kosaten/ Map of 1 million traffic accidents nationwide The Asahi Shimbun

Slide 124

Slide 124 text

WebGIS: Cesium GL JS 3D geospatial visualization 124 https:@Acesium.com/platform/cesiumjs/ https:@Awww.yomiuri.co.jp/world/ukraine-reconstruction/ Ukraine: Reconstruction during the war - Report from the outskirts of Kyiv Yomiuri Shimbun

Slide 125

Slide 125 text

WebGIS: deck.gl A visualization framework 125 https:@Adeck.gl/ https:@Avdata.nikkei.com/newsgraphics/land-value-map/ What are the land prices in your town? Nikkei

Slide 126

Slide 126 text

The difficulty of geospatial data The Earth is not flat 126 Image: @vlandham, https:@Agist.githubusercontent.com/vlandham/raw/9216751/ https:@Ax.com/mourner/status/1458169016456032260/

Slide 127

Slide 127 text

The difficulty of geospatial data ÒMap Projection for the Interactive MediaÓ (in Japanese) 127 https:@Aspeakerdeck.com/sorami/mierune-she-nei-mian-qiang-hui-number-033

Slide 128

Slide 128 text

Example: Missile from North Korea 128 Fig. on a Newspaper Fixed Version ਤ: Esri, ArcUser Online, “Understanding Geodesic Buffering” Figure 1, Figure 2 https:@Awww.esri.com/news/arcuser/0111/geodesic.html

Slide 129

Slide 129 text

Recommended Books (in Japanese) Written by CTO of MIERUNE 129 ʰݱ৔ͷϓϩ͕Θ͔Γ΍͘͢ڭ͑ΔҐஔ৘ใΤϯδχΞཆ੒ߨ࠲ʱ Ҫޱ૗େ (ल࿨γεςϜ, 2023) ʰݱ৔ͷϓϩ͕Θ͔Γ΍͘͢ڭ͑ΔҐஔ৘ใσϕϩούʔཆ੒ߨ࠲ʱ Ҫޱ૗େ (ल࿨γεςϜ, 2024)

Slide 130

Slide 130 text

FYI: Book Review (in Japanese) 130 https:@Aqiita.com/sorami/items/bfeebba21216609ad576

Slide 131

Slide 131 text

NLP & Geospatial

Slide 132

Slide 132 text

Hiroki Ouchi ÒGeospatial in the TextÓ Toward the Integration of GIS and NLP 132 https:@Aspeakerdeck.com/hiroki13/wen-zhang-nonakanodi-li-kong-jian-di-li-kong-jian-qing-bao-ke-xue-gis-tozi-ran-yan-yu-chu- li-nlp-norong-he-hexiang-kete-c41f1d81-1397-4df0-888d-370f0583597e

Slide 133

Slide 133 text

Example: Geocoding Link addresses, facility names, etc. to location 133 https:@Aspeakerdeck.com/sorami/nlp2023 ݴޠॲཧֶձୈճ೥࣍େձ (NLP2023)

Slide 134

Slide 134 text

Example: Geocoding Link addresses, facility names, etc. to location 134 Named Entity Recognition Geotagging (Toponym Extraction) Entity Resolution Geocoding (Toponym Resolution) Entity Linking Geoparsing + = = + Retrieval Resolution Retrieval + Resolution General Geospatial

Slide 135

Slide 135 text

Geography & Language Project 135 https:@Asites.google.com/view/geography-and-language

Slide 136

Slide 136 text

Study Group (online events), Slack, etc. 136 https:@Asites.google.com/view/geography-and-language

Slide 137

Slide 137 text

Illustration generated by ChatGPT At the Intersection of Technology & Liberal Arts

Slide 138

Slide 138 text

Lastly ...

Slide 139

Slide 139 text

Words from Kevin Duh that still remains in my heart 139 ¥Always Ask Questions ¥Just Do It ¥Have Fun My supervisor at NAIST Matsumoto Lab.

Slide 140

Slide 140 text

Words from Me 140 ¥Be Curious ¥Be Grateful ¥Enjoy The Journey!

Slide 141

Slide 141 text

How I Got Here SCONJ PRON VERB ADV NLP, Geospatial, and beyond advmod nsubj advmod @sorami 2025-05-16 Nara Institute of Science and Technology