Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and Computer Science at Stanford University; pioneering NLP and Deep Learning researcher
Australia 
United States United States Themes
Christopher David Manning (amụrụ 1965) bụ ọkà mmụta sayensị kọmputa na onye ọkà mmụta asụsụ sitere na Australia na America, na-eje ozi dịka Thomas M. Siebel Professor na Machine Learning yana Professor nke Linguistics na Computer Science na Stanford University, ebe ọ na-eje ozi kwa dịka Associate Director nke Stanford Institute for Human-Centered Artificial Intelligence (HAI) ma bụrụ onye duuru Stanford Artificial Intelligence Laboratory (SAIL) tupu mgbe ahụ site na 2018 ruo 2025.
Nnyocha ya lekwasịrị anya na nhazi asụsụ eke, deep learning, na computational linguistics, yana onyinye pụtara ìhè gụnyere nlereanya GloVe word embedding, Stanford CoreNLP, akwụkwọ ngwá ọrụ Stanza NLP, na usoro Universal Dependencies.
Ọ bụ onye so dere akwụkwọ ọgụgụ abụọ a na-ejikarị eme ihe, Foundations of Statistical Natural Language Processing (1999) na Introduction to Information Retrieval (2008), ma na-akụzi ọmụmụ CS224N a ma ama gbasara NLP na deep learning.
Manning bụ onye a họpụtara ka ọ bụrụ onye otu National Academy of Engineering na American Academy of Arts and Sciences, Fellow nke ACM, AAAI, na ACL, nakwa onye natara 2024 IEEE John von Neumann Medal.
Ọrụ Agụmakwụkwọ na Ọrụ Ndị Ọchịchị
Manning nwere oche Thomas M. Siebel Professor mbụ na Machine Learning na Stanford, ọnọdụ nke na-agafe ma ngalaba Linguistics na Computer Science — nhazi nke na-egosipụta nraranye ya ogologo oge n’ịgwọ asụsụ dịka ma isiokwu sayensị ma isiokwu injinia. Tụkwasị na nhọpụta ya n’ọrụ nkuzi, ọ bụ onye guzobere ma bụrụ Senior Fellow nke Stanford HAI, otu ụlọ ọrụ lekwasịrị anya n’echiche mmekọrịta ọha na eze nke artificial intelligence, nakwa General Partner na AIX Ventures. Ọ rụrụ ọrụ dịka Onyeisi nke Association for Computational Linguistics na 2015 ma guzobe Stanford NLP Group, nke zụrụ ọgbọ ndị nchọpụta ugbu a na-arụ ọrụ n’ofe ma agụmakwụkwọ na ụlọ ọrụ.
Ụzọ Nchọpụta na Nha Onyinye Isi
Ọrụ nchọpụta Manning gafere akụkụ abụọ dị iche ma jikọtara ọnụ. N’ọrụ mbụ ya, ọ lekwasịrị anya n’ịrụ ntọala siri ike nke probabilistic na statistical maka computational linguistics — na-emepụta usoro maka natural language inference, syntactic parsing, na nhazi asụsụ ọtụtụ asụsụ. Nke a gụnyere ọrụ ya dịka onye na-ahụ maka nhazi bụ isi nke Stanford Dependencies na usoro Universal Dependencies, nke guzobere ụzọ a na-ahụkarị n’ofe asụsụ dị iche iche maka ịkọwa nhazi ụtọ asụsụ, nke kemgbe ahụ ewerewo nke ọma n’ime obodo NLP.
Site ihe dị ka gburugburu 2010, Manning gbanwere ilekwasị anya ya n’ọrụ deep learning e ji ghọta asụsụ. Ọrụ otu ya metụrụ ọtụtụ nsogbu: nyocha mmetụta site na tree-recursive neural networks, ụdị GloVe word vector, usoro attention, neural machine translation, ịza ajụjụ, na pre-training nke onwe ya. Obosara onyinye ndị a ka a na-egosipụta site na nkwado sitere n’aka obodo nchọpụta — otu ya nwetara Best Paper Awards na ACL, Coling, EMNLP, na CHI, yana atọ n’usoro ACL Test of Time Awards, gụnyere otu na 2025 maka akwụkwọ neural machine translation nke dabere na attention nke ya na Thang Luong na Hieu Pham dere.
Ọrụ ọhụrụ karị nke otu ya nyochala akụkụ bara uru na nke mmekọrịta ọha na eze nke nnukwu ụdị asụsụ, gụnyere nyocha banyere ịchọpụta ederede nke LLM mepụtara site na usoro DetectGPT na nyocha banyere hallucination n’ọrụ iwu nke LLMs, nke e bipụtara na Journal of Empirical Legal Studies.
Ngwaọrụ na Mmetụta n’Agụmakwụkwọ
Manning na-etinye mgbe niile n’ihu ụzọ ime ka ngwaọrụ NLP dịrị ndị na-eme ya na ndị nchọpụta n’èzí ụlọ ọrụ ndị kacha elu. Stanford CoreNLP, ngwá ọrụ NLP mepere emepe mbụ ma zuru oke, yana akwụkwọ Stanza nke e mesịrị, ewerewo ha nke ọma n’ebe dị iche iche. Monographs asụsụ ya gbasara ergativity na complex predicates na-egosikwa obosara mmepụta agụmakwụkwọ nke gafere ọrụ ngwanrọ na usoro nke a na-ahụkarị n’ime ndị nchọpụta computer science.
N’akụkụ agụmakwụkwọ, nkuzi CS224N ya gbasara NLP na deep learning, nke a na-enye site na Stanford ma dịkwa n’ịntanetị, enwetala ọtụtụ narị puku ndị na-ekiri n’ụwa niile. Akwụkwọ ọgụgụ ya nke ya na ndị ọzọ dere — otu gbasara statistical NLP na Hinrich Schütze, nke ọzọ gbasara information retrieval na Schütze na Prabhakar Raghavan — ka bụ akwụkwọ ntụaka ọkọlọtọ n’ime ngalaba ahụ. O tinyekwara aka nke ukwuu n’akụkọ ihe mere eme nke nchọpụta AI na Stanford, site n’ịrụ ọrụ dị mkpa n’ịchịkọta obere akwụkwọ akụkọ ihe nkiri AI at Stanford: 1962–2022, nke nwetara Northern California Emmy Award na 2023.
Nkwado na Njikọ Ndị Ọzọ sara mbara
Tụkwasị na fellowship nke ọha ọkachamara ya na IEEE John von Neumann Medal, Manning nwetara doctorate nsọpụrụ site n’aka University of Amsterdam na 2023. Nhọpụta ya n’ime National Academy of Engineering na American Academy of Arts and Sciences, ha abụọ na 2025, kpọmkwem ghọtara mmepe na mgbasa nke ụzọ nhazi asụsụ eke. Ọ bụkwa Faculty Affiliate na RegLab nke Stanford, nke lekwasịrị anya n’ịchịkwa, nyocha, na ọchịchị — njikọ a na-ejikọta ọrụ ya nke teknụzụ na ajụjụ gbasara iwu na atumatu metụtara itinye AI n’ọrụ.