Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and Computer Science at Stanford University; pioneering NLP and Deep Learning researcher
Ahitereiria 
Hononga o Amerika Hononga o Amerika Themes
Ko Christopher David Manning (whanau i te tau 1965) he kaipūtaiao rorohiko, he tohunga reo hoki nō Ahitereiria–Amerika, e mahi ana hei Ahorangi Thomas M. Siebel mō te Ako Mīhini, ā, hei Ahorangi mō te Mātauranga Reo me te Pūtaiao Rorohiko i te Whare Wānanga o Stanford. I reira hoki ia e noho ana hei Kaiwhakahaere Tuarua mō te Stanford Institute for Human-Centered Artificial Intelligence (HAI), ā, i mua i a ia te whakahaere i te Stanford Artificial Intelligence Laboratory (SAIL) mai i te tau 2018 ki te tau 2025.
Ko tana rangahau e aro ana ki te tukatuka reo māori, ki te ako hōhonu, me te mātauranga reo ā-rorohiko, ā, he nui āna takoha, tae atu ki te tauira whakakōtahi kupu GloVe, Stanford CoreNLP, te whare pukapuka Stanza NLP, me te anga Universal Dependencies.
I tuhi tahi ia i ngā pukapuka whakaako e tino whakamahia whānuitia ana, arā ko Foundations of Statistical Natural Language Processing (1999) me Introduction to Information Retrieval (2008), ā, ka whakaako ia i te akoranga whai mana CS224N mō te NLP me te ako hōhonu.
He mema kua pōtitia a Manning mō te National Academy of Engineering me te American Academy of Arts and Sciences, he hoa mō ACM, AAAI, me ACL, ā, he kaiwhiwhi i te mētara 2024 IEEE John von Neumann Medal.
Ngā Tūranga Mātauranga me ngā Tūranga Whakahaere
Ko Manning te Heamana tuatahi o Thomas M. Siebel mō te Ako Mīhini i Stanford, he tūranga e toro atu ana ki ngā tari e rua o Linguistics me Computer Science — he whakarite e whakaata ana i tana ū tonu i tōna roanga o te mahi ki te whakatū i te reo hei kaupapa pūtaiao, hei kaupapa hangarau hoki. I tua atu i āna whakarōpūtanga kaiako, he Kaihanga, he Senior Fellow hoki ia o Stanford HAI, he whare e aro ana ki ngā pānga ā-hapori o te mātauranga horihori, ā, he General Partner ia i AIX Ventures. I mahi ia hei Perehitini mō te Association for Computational Linguistics i te tau 2015, ā, i whakatūria e ia te Stanford NLP Group, nāna i whakangungu ngā whakatupuranga kairangahau e mahi nei ināianei puta noa i te mātauranga me te ahumahi.
Te Huarahi Rangahau me ngā Tāpiritanga Matua
Ko te mahi rangahau a Manning e toro ana ki ngā wāhanga e rua motuhake, engari e hono ana. I āna mahi o mua, i aro ia ki te whakatū i ngā pūtake pakari mō te reo rorohiko mā ngā tikanga tūponotanga me ngā tatauranga — te whakawhanake i ngā anga mō te whakamārama i te reo mā te tūhononga (natural language inference), te tātaritanga wetereo (syntactic parsing), me te tukatuka reo maha. I roto i tēnei ko tana tūranga hei tino kaihoahoa o Stanford Dependencies me te anga Universal Dependencies, nāna i whakatakoto he huarahi ōrite puta noa i ngā reo mō te tohu i te hanganga wetereo, ā, kua whāia whānuitia ināianei e te hapori NLP.
Mai i te takiwā o te tau 2010, ka huri a Manning i tana aro ki te ako hōhonu (deep learning) e whakamahia ana mō te mārama ki te reo. I pāngia e ngā mahi a tōna rōpū tētahi whānuitanga raruraru: te tātaritanga kare ā-roto mā ngā whatunga neural recursive o ngā rākau, te tauira GloVe word vector, ngā tikanga aro (attention mechanisms), te whakamaoritanga mīhini neural, te whakautu pātai, me te whakangungu i mua mā te ako whaiaro (self-supervised pre-training). Ko te whānuitanga o ēnei takoha e kitea ana i ngā mōhiotanga mai i te hapori rangahau — i riro i tō rātou rōpū ngā Best Paper Awards i ACL, Coling, EMNLP, me CHI, ā, e toru ngā ACL Test of Time Awards whai muri i muri mai, tae atu ki tētahi i te tau 2025 mō te pepa whakamaoritanga mīhini neural e hāngai ana ki te aro (attention-based) i tuhi tahi me Thang Luong rāua ko Hieu Pham.
Ko ngā mahi hou ake a tōna rōpū kua tirotiro i ngā āhuatanga whaihua me ngā āhuatanga ā-hapori o ngā tauira reo nui, tae atu ki te rangahau mō te tautuhi i ngā tuhinga i hangaia e te LLM mā te tikanga DetectGPT, me te tirotiro i ngā “hallucination” i ngā whakamahinga ture o ngā LLM, i whakaputaina i te Journal of Empirical Legal Studies.
Ngā Pūmanawa me te Pānga Mātauranga
Kua whakapūmau a Manning i te kaupapa kia wātea ngā taputapu NLP ki ngā kaiwhakamahi me ngā kairangahau kei waho i ngā whare mātauranga rangatira. Ko Stanford CoreNLP, he kete taputapu NLP tuwhera mōata me te whānui, me te whare pukapuka Stanza o muri mai, kua whakamahia whānuitia e te tini. Ko āna pukapuka reo mō te ergativity me ngā predicate uaua hoki e whakaatu ana i te whānuitanga o ngā putanga mātauranga e tua atu ana i ngā mahi pūmanawa me ngā pūnaha e tino hono ana ki ngā kairangahau pūtaiao rorohiko.
Kei te taha mātauranga, ko tana akoranga CS224N mō te NLP me te ako hōhonu, i tukuna mā Stanford, ā, e wātea ana hoki online, kua kohia ngā rau mano tini o ngā mātakitaki puta noa i te ao. Ko āna pukapuka ako i tuhi tahi — tētahi mō te statistical NLP me Hinrich Schütze, tētahi anō mō te information retrieval me Schütze me Prabhakar Raghavan — he tohutoro paerewa tonu i te mara. I whai wāhi nui hoki ia ki te rekoata hītori o te rangahau AI i Stanford, ā, he wāhi matua tōna i te whakahiato i te pakipūmeka poto AI at Stanford: 1962–2022, i whakawhiwhia ki tētahi Tohu Emmy o Te Raki o California i te tau 2023.
Ngā Mōhiotanga me ngā Hononga Whānui
I tua atu i āna hoa mō ngā rōpū ngaio me te IEEE John von Neumann Medal, i whakawhiwhia a Manning ki tētahi tohu kairangi honore (honorary doctorate) mai i te Whare Wānanga o Amsterdam i te tau 2023. Ko āna pōtitanga ki te National Academy of Engineering me te American Academy of Arts and Sciences, e rua i te tau 2025, i mōhio motuhake mō tana whakawhanaketanga me tana hora haere i ngā tikanga tukatuka reo māori. He Faculty Affiliate hoki ia i RegLab o Stanford, e aro ana ki te ture, ki te aromatawai, me te whakahaere — he hononga e here ana i āna mahi hangarau ki ngā pātai mō te ture me ngā kaupapa here e hāngai ana ki te whakatūnga AI.