Word2Vec Skip-Gram ak CBOW
Word2Vec xarala la bu bawoo ci Google ci atum 2013, muy jàng vecteur yu baat yu dëgër yi ci di wax luy am ci seeni dëkkandoo, mu soppi làkk wi def ko geometrie fu baat yu nuróo yi toog jegewaale.
Résumé
It made the famous "king - man + woman ≈ queen" analogy possible and kicked off the modern embedding era.
Plongeur bu xóot
Word2Vec, bi Tomas Mikolov ak ay naataangoom ci Google dugal ci 2013, dafay jàng benn vecteur (100 ba 300 nimero) ngir baat bu nekk ci di tàggat ab reso neuronal bu xóotul bu am ñaari lalu palanteer buy gliise. Amna ñaari cafka. CBOW (Continuous Bag of Words) dafay jël baat yi ko wër ba noppi wax luy ñàkk ci digg bi, ba noppi boole vecteur yi ci diggante. Skip-Gram dafay soppi lii: dafay jël baat bi ci digg bi ba noppi jéema xam luy waaja am ci baat bu nekk ci biir. Royuwaay bi du musa bàyyi xel ci liggéeyu wax luy am ci boppam; mébet bi mooy matrix poid bi mu jàng ci yoon wi, liiñ yi nekk baat vecteur. Baatu feeñ ci muy nuru muy mujjee am vecteur yu nuru, jàpp lu leer ci co-occurrence.
Gis-gis xarala
Taggat softmax bi yépp ci kaw vocabulaire bu bari dafa yeex, moo tax Word2Vec dafay jëfandikoo ay pexe yu melni échantillonnage négatif, biy soppi wax ji ni classification binaire: wuutale ab baat bu dëggu ci ay baat "negatif" yu bari. Dafay jël itam misaali baat yu bari yu melni "the" ba noppi jëfandikoo distribution unigram bu yéeg ba 0.75 ngir tànnee negatif yi. CBOW moo gëna gaaw te gëna baax ci kàddu yu bari; Skip-Gram ak échantillonnage négatif mooy gëna mëna jëfandikoo kàddu yu bariwul ak corpus yu ndaw.
njeextalu pexe
Gaawaay ak yaatuwaay
Liggéeyukaay yi ci làkk yi mën nañu gëna gaaw te duñu yàq deggoo gi.
Dugg ak yegg
Dafay yaatal jëfandikoo gi ci làkk yi ak ci anam yi ñuy jokkoo.
dogal yu gëna leer
Ekip yi mën nañu gëna yàgg ci àtte ci jamono ji otomatisation di liggéey ci baamtu.
Ëlëgu Word2Vec Skip-Gram ak CBOW
Embeddings static yu melni Word2Vec dañu leen wuutale ci xeetu contextuel (ELMo, BERT, transformateur) yuy jox baat vecteur yu wuute lepp di aju ci contexte frase bi, di saafara jafe-jafe polysemie bi "bank" am benn vecteur fixe. Waaye Word2Vec mingi wéy fu gaawaay, yombaay, ak mëna tekki lu am solo: sistemu xalaat, seetlu, ak nekk fondaasioŋ njàngale. Xalaat bi gëna am solo, maanaam luñuy tekki mingi juddoo ci lim yiy wane mbir yu bari, te mingi wéy di nekk royuwaayu konseptioŋ ci bépp xeetu làkk bu bees.
Doxal ci àdduna dëgg
Spotify ak Airbnb dañu méngale Skip-Gram ngir jàng ni ñuy dugalee ay way ak limu ("item2vec") ci sesioŋ jëfandikukat yi ngir am xalaat
Seetug semantik bu am doole ak yaatal sinonim suko defee ab laaj ngir "ordinatër portable" itam feeñ ci "kaye" ak "ordinatër"
Gis ay analogie ak ay lëkkaloo ci biir mbind, lu melni ñaari kapitaal-réew (Paris mingi ci France ni Tokyo ci Japon)
Tambali couche de input ci pipelines NLP yu gëna mag ngir jàngat yëg-yëg ak xaaj dokimaa ci done yu néew
Risk yi ak balustrade yi
Lépp lu jaarul yoon mën na dugg ci rapoor yi, jàppale ci liggéey bi, wala ci njariñu gëstu bi.
Sensibilite bu gaaw mën na jur njariñ yu wuute ci laajte yu noonu mel.
Done yu am solo mën nañu feeñ sudee seytu jëfandikoo gi néew doole.
Roadmap ngir samp gi
Mandargal formaa génne gi, melokaan bi, ak standard kalite yi laata ngay dugal ko.
Tontu yu am solo ak balluwaay yu wóor saa yu dëggu bi di am solo.
Fexeel am barabu xool nit ñi ngir am njariñ yu am solo.
Toppal anami gacce yi ak di faral di tàggataat ay laaj wala def-liggéey.
Weyal di banneexu
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Gis bi ci topp
Reseau autoroute yi ak lëkkaloo yi
Laaj yi ñuy faral di laaj
What is Word2Vec Skip-Gram and CBOW?
Word2Vec xarala la bu bawoo ci Google ci atum 2013, muy jàng vecteur yu baat yu dëgër yi ci di wax luy am ci seeni dëkkandoo, mu soppi làkk wi def ko geometrie fu baat yu nuróo yi toog jegewaale. Moo tax analogie bu siiw bii di "buur - góor + jigéen ≈ reine" mëna am ba noppi tàmbali jamonoy embedding bu bees bi.
Lan la architecture Skip-Gram wax luy waaja am?
Skip-Gram dafay jël benn baat ci digg bi ba noppi jéema wax luy waaja am ci bu nekk ci baat yi ko wër, di leneen lu wuute ak CBOW.
Lan mooy njariñu tàggat xeetu Word2Vec?
Liggéeyu wax luy waaja am, jumtukaay la rek ngir yegg ci mébet; mébet bi mooy matrix poid biñ jàng, liiñ yi nekk ay baat yu dëgër yuñ dugal.
Lu tax Word2Vec di jëfandikoo misaal bu baaxul?
Échantillonnage négatif dafay soppi jafe-jafe bi ni classification binaire ci yenn baat yu bari, moytu softmax bu seer lu ëpp fukki junni baat.
Ban xeetu Word2Vec moo gëna am njariñ ci kàddu yu bariwul yi ak ci done yu ndaw yi?
Skip-Gram ak sampling negatif mooy gëna jàpp kàddu yu bariwul, waaye CBOW moo gëna gaaw te gëna bëgg kàddu yu bari.
Ban màndarga bu siiw ci vecteur Word2Vec lañuy wane ci "buur - góor + jigéen ≈ reine"?
Vecteur Word2Vec dañuy kode relation yi suko defee ñu mëna saafara analogie semantik ci yokk ak dindi vecteur yu yomb.