Legal Tech und Deep Learning: eine Bestandsaufnahme
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article (Journal) Conference Paper |
| Language: | German |
| Published: |
2022
|
| In: |
LegalTech
Year: 2022, Volume: 1, Issue: 1, Pages: 30-36 |
| ISSN: | 2750-4603 |
| Online Access: |
|
| Author Notes: | Prof. Dr. Michael Gertz und Dennis Aumiller |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1804378321 | ||
| 003 | DE-627 | ||
| 005 | 20241205133103.0 | ||
| 007 | tu | ||
| 008 | 220525s2022 xx ||||| 00| ||ger c | ||
| 035 | |a (DE-627)1804378321 | ||
| 035 | |a (DE-599)KXP1804378321 | ||
| 035 | |a (OCoLC)1475285024 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a ger | ||
| 084 | |a 53 |2 sdnb | ||
| 100 | 1 | |a Gertz, Michael |e VerfasserIn |0 (DE-588)1038076579 |0 (DE-627)756636973 |0 (DE-576)392095645 |4 aut | |
| 245 | 1 | 0 | |a Legal Tech und Deep Learning |b eine Bestandsaufnahme |c Prof. Dr. Michael Gertz und Dennis Aumiller |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 700 | 1 | |a Aumiller, Dennis |d 1994- |e VerfasserIn |0 (DE-588)1200973992 |0 (DE-627)1684111102 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t LegalTech |d Baden-Baden : Nomos, 2022 |g 1(2022), 1, Seite 30-36 |w (DE-627)1782368507 |w (DE-600)3104255-7 |x 2750-4603 |7 nnas |a Legal Tech und Deep Learning eine Bestandsaufnahme |
| 773 | 1 | 8 | |g volume:1 |g year:2022 |g number:1 |g pages:30-36 |a Legal Tech und Deep Learning eine Bestandsaufnahme |
| 951 | |a AR | ||
| 992 | |a 20240801 | ||
| 993 | |a ConferencePaper | ||
| 994 | |a 2022 | ||
| 998 | |g 1200973992 |a Aumiller, Dennis |m 1200973992:Aumiller, Dennis |d 110000 |d 110300 |e 110000PA1200973992 |e 110300PA1200973992 |k 0/110000/ |k 1/110000/110300/ |p 2 |y j | ||
| 998 | |g 1038076579 |a Gertz, Michael |m 1038076579:Gertz, Michael |d 110000 |d 110300 |e 110000PG1038076579 |e 110300PG1038076579 |k 0/110000/ |k 1/110000/110300/ |p 1 |x j | ||
| 999 | |a KXP-PPN1804378321 |e 4561724958 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"recId":"1804378321","language":["ger"],"relHost":[{"language":["ger"],"recId":"1782368507","disp":"Legal Tech und Deep Learning eine BestandsaufnahmeLegalTech","type":{"bibl":"periodical"},"part":{"year":"2022","issue":"1","pages":"30-36","text":"1(2022), 1, Seite 30-36","volume":"1"},"titleAlt":[{"title":"Legal Tech"}],"pubHistory":["01. Jahrgang, 01 (2022)-"],"id":{"issn":["2750-4603"],"eki":["1782368507"],"zdb":["3104255-7"]},"origin":[{"publisherPlace":"Baden-Baden","publisher":"Nomos","dateIssuedDisp":"[2022]-"}],"title":[{"title_sort":"LegalTech","title":"LegalTech","subtitle":"Zeitschrift für die digitale Rechtsanwendung (LTZ)"}]}],"type":{"bibl":"article-journal"},"id":{"eki":["1804378321"]},"title":[{"title_sort":"Legal Tech und Deep Learning","title":"Legal Tech und Deep Learning","subtitle":"eine Bestandsaufnahme"}],"origin":[{"dateIssuedDisp":"2022","dateIssuedKey":"2022"}],"name":{"displayForm":["Prof. Dr. Michael Gertz und Dennis Aumiller"]},"person":[{"role":"aut","display":"Gertz, Michael","roleDisplay":"VerfasserIn","given":"Michael","family":"Gertz"},{"given":"Dennis","family":"Aumiller","role":"aut","roleDisplay":"VerfasserIn","display":"Aumiller, Dennis"}]} | ||
| SRT | |a GERTZMICHALEGALTECHU2022 | ||