{"id":478103,"date":"2023-08-09T09:27:27","date_gmt":"2023-08-09T09:27:27","guid":{"rendered":""},"modified":"2023-09-05T11:16:03","modified_gmt":"2023-09-05T11:16:03","slug":"natural-language-generation-nlg","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/natural-language-generation-nlg\/","title":{"rendered":"T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG)"},"content":{"rendered":"<p>T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG) l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c con c\u1ee7a tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) v\u00e0 ng\u00f4n ng\u1eef h\u1ecdc t\u00ednh to\u00e1n t\u1eadp trung v\u00e0o vi\u1ec7c t\u1ef1 \u0111\u1ed9ng h\u00f3a qu\u00e1 tr\u00ecnh t\u1ea1o ra v\u0103n b\u1ea3n ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean gi\u1ed1ng con ng\u01b0\u1eddi. C\u00f4ng ngh\u1ec7 ti\u00ean ti\u1ebfn n\u00e0y \u0111\u00e3 thu h\u00fat \u0111\u01b0\u1ee3c s\u1ef1 ch\u00fa \u00fd v\u00e0 \u1ee9ng d\u1ee5ng \u0111\u00e1ng k\u1ec3 trong c\u00e1c ng\u00e0nh kh\u00e1c nhau nh\u1edd kh\u1ea3 n\u0103ng chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac th\u00e0nh c\u00e1c c\u00e2u chuy\u1ec7n b\u1eb1ng v\u0103n b\u1ea3n m\u1ea1ch l\u1ea1c, bi\u1ec3u c\u1ea3m v\u00e0 ph\u00f9 h\u1ee3p v\u1edbi ng\u1eef c\u1ea3nh.<\/p>\n<h2>L\u1ecbch s\u1eed v\u1ec1 ngu\u1ed3n g\u1ed1c c\u1ee7a T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG) v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3.<\/h2>\n<p>Ngu\u1ed3n g\u1ed1c c\u1ee7a T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG) c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb \u0111\u1ea7u nh\u1eefng n\u0103m 1960, n\u01a1i c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u v\u00e0 nh\u00e0 ng\u00f4n ng\u1eef h\u1ecdc \u0111ang th\u1eed nghi\u1ec7m c\u00e1c m\u00f4 h\u00ecnh t\u00ednh to\u00e1n \u0111\u1ec3 hi\u1ec3u v\u00e0 t\u1ea1o ra ng\u00f4n ng\u1eef c\u1ee7a con ng\u01b0\u1eddi. L\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn NLG c\u00f3 th\u1ec3 l\u00e0 do c\u00f4ng tr\u00ecnh c\u1ee7a Daniel Bobrow v\u00e0o n\u0103m 1964, ng\u01b0\u1eddi \u0111\u00e3 ph\u00e1t tri\u1ec3n ch\u01b0\u01a1ng tr\u00ecnh \u201cSINH VI\u00caN\u201d c\u00f3 kh\u1ea3 n\u0103ng gi\u1ea3i c\u00e1c b\u00e0i to\u00e1n \u0111\u1ed1 \u0111\u1ea1i s\u1ed1 b\u1eb1ng c\u00e1ch chuy\u1ec3n \u0111\u1ed5i c\u00e1c ph\u01b0\u01a1ng tr\u00ecnh th\u00e0nh gi\u1ea3i th\u00edch b\u1eb1ng ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG). M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1 T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG).<\/h2>\n<p>C\u00f4ng ngh\u1ec7 t\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG) \u0111\u00e3 ph\u00e1t tri\u1ec3n \u0111\u00e1ng k\u1ec3 trong nhi\u1ec1u th\u1eadp k\u1ef7, bao g\u1ed3m c\u00e1c thu\u1eadt to\u00e1n ph\u1ee9c t\u1ea1p v\u00e0 kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n m\u1ea1nh m\u1ebd. Quy tr\u00ecnh NLG bao g\u1ed3m nhi\u1ec1u b\u01b0\u1edbc, bao g\u1ed3m:<\/p>\n<ol>\n<li>\n<p><strong>L\u1eadp k\u1ebf ho\u1ea1ch n\u1ed9i dung<\/strong>: Trong giai \u0111o\u1ea1n \u0111\u1ea7u n\u00e0y, h\u1ec7 th\u1ed1ng x\u00e1c \u0111\u1ecbnh th\u00f4ng tin n\u00e0o s\u1ebd \u0111\u01b0\u1ee3c \u0111\u01b0a v\u00e0o v\u0103n b\u1ea3n \u0111\u01b0\u1ee3c t\u1ea1o, d\u1ef1a tr\u00ean d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o v\u00e0 y\u00eau c\u1ea7u c\u1ee7a ng\u01b0\u1eddi d\u00f9ng. N\u00f3 x\u00e1c \u0111\u1ecbnh c\u00e1c \u0111i\u1ec3m ch\u00ednh, c\u00e1c th\u1ef1c th\u1ec3 v\u00e0 c\u00e1c m\u1ed1i quan h\u1ec7 c\u1ea7n \u0111\u01b0\u1ee3c th\u1ec3 hi\u1ec7n.<\/p>\n<\/li>\n<li>\n<p><strong>C\u1ea5u tr\u00fac t\u00e0i li\u1ec7u<\/strong>: H\u1ec7 th\u1ed1ng NLG t\u1ed5 ch\u1ee9c n\u1ed9i dung \u0111\u00e3 ch\u1ecdn th\u00e0nh m\u1ed9t c\u1ea5u tr\u00fac m\u1ea1ch l\u1ea1c, x\u00e1c \u0111\u1ecbnh lu\u1ed3ng v\u00e0 s\u1eafp x\u1ebfp th\u00f4ng tin h\u1ee3p l\u00fd.<\/p>\n<\/li>\n<li>\n<p><strong>T\u1ea1o v\u0103n b\u1ea3n<\/strong>: \u1ede giai \u0111o\u1ea1n n\u00e0y, h\u1ec7 th\u1ed1ng NLG chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac th\u00e0nh v\u0103n b\u1ea3n m\u00e0 con ng\u01b0\u1eddi c\u00f3 th\u1ec3 \u0111\u1ecdc \u0111\u01b0\u1ee3c, tu\u00e2n th\u1ee7 c\u00e1c quy t\u1eafc ng\u1eef ph\u00e1p, c\u00fa ph\u00e1p v\u00e0 quy \u01b0\u1edbc ng\u00f4n ng\u1eef.<\/p>\n<\/li>\n<li>\n<p><strong>Hi\u1ec7n th\u1ef1c h\u00f3a ng\u00f4n ng\u1eef<\/strong>: B\u01b0\u1edbc cu\u1ed1i c\u00f9ng n\u00e0y t\u1eadp trung v\u00e0o vi\u1ec7c \u0111\u1ea3m b\u1ea3o r\u1eb1ng v\u0103n b\u1ea3n \u0111\u01b0\u1ee3c t\u1ea1o ra nghe t\u1ef1 nhi\u00ean v\u00e0 tr\u00f4i ch\u1ea3y. N\u00f3 li\u00ean quan \u0111\u1ebfn vi\u1ec7c l\u1ef1a ch\u1ecdn c\u00e1c t\u1eeb, c\u1ee5m t\u1eeb v\u00e0 c\u00e1ch di\u1ec5n \u0111\u1ea1t ph\u00f9 h\u1ee3p \u0111\u1ec3 ph\u00f9 h\u1ee3p v\u1edbi phong c\u00e1ch v\u00e0 gi\u1ecdng \u0111i\u1ec7u mong mu\u1ed1n.<\/p>\n<\/li>\n<\/ol>\n<p>NLG c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng \u1edf nhi\u1ec1u ch\u1ebf \u0111\u1ed9 kh\u00e1c nhau, t\u1eeb c\u00e1c h\u1ec7 th\u1ed1ng d\u1ef1a tr\u00ean quy t\u1eafc \u0111\u1ebfn c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y v\u00e0 h\u1ecdc s\u00e2u ph\u1ee9c t\u1ea1p h\u01a1n. Vi\u1ec7c l\u1ef1a ch\u1ecdn k\u1ef9 thu\u1eadt NLG ph\u1ee5 thu\u1ed9c v\u00e0o \u0111\u1ed9 ph\u1ee9c t\u1ea1p c\u1ee7a nhi\u1ec7m v\u1ee5 v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng \u0111\u1ea7u ra mong mu\u1ed1n.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG). C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG).<\/h2>\n<p>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a h\u1ec7 th\u1ed1ng NLG c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c chia th\u00e0nh c\u00e1c th\u00e0nh ph\u1ea7n sau:<\/p>\n<ol>\n<li>\n<p><strong>D\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o<\/strong>: \u0110i\u1ec1u n\u00e0y bao g\u1ed3m d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac, ch\u1eb3ng h\u1ea1n nh\u01b0 c\u01a1 s\u1edf d\u1eef li\u1ec7u, b\u1ea3ng t\u00ednh ho\u1eb7c bi\u1ec3u di\u1ec5n ng\u1eef ngh\u0129a, t\u1eeb \u0111\u00f3 h\u1ec7 th\u1ed1ng NLG l\u1ea5y th\u00f4ng tin.<\/p>\n<\/li>\n<li>\n<p><strong>Ki\u1ebfn th\u1ee9c c\u01a1 b\u1ea3n<\/strong>: H\u1ec7 th\u1ed1ng NLG truy c\u1eadp c\u01a1 s\u1edf ki\u1ebfn th\u1ee9c ch\u1ee9a c\u00e1c t\u00e0i nguy\u00ean ng\u00f4n ng\u1eef, thu\u1eadt ng\u1eef d\u00e0nh ri\u00eang cho t\u1eebng mi\u1ec1n v\u00e0 c\u00e1c quy t\u1eafc ng\u1eef ph\u00e1p.<\/p>\n<\/li>\n<li>\n<p><strong>Quy t\u1eafc t\u1eeb v\u1ef1ng v\u00e0 c\u00fa ph\u00e1p<\/strong>: Nh\u1eefng y\u1ebfu t\u1ed1 n\u00e0y t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c hi\u1ec7n th\u1ef1c h\u00f3a ng\u00f4n ng\u1eef b\u1eb1ng c\u00e1ch cung c\u1ea5p cho h\u1ec7 th\u1ed1ng NLG c\u00e1c h\u01b0\u1edbng d\u1eabn v\u1ec1 t\u1eeb v\u1ef1ng v\u00e0 ng\u1eef ph\u00e1p.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00f4ng c\u1ee5 l\u1eadp k\u1ebf ho\u1ea1ch n\u1ed9i dung<\/strong>: Tr\u00ecnh l\u1eadp k\u1ebf ho\u1ea1ch n\u1ed9i dung x\u00e1c \u0111\u1ecbnh th\u00f4ng tin li\u00ean quan s\u1ebd \u0111\u01b0\u1ee3c \u0111\u01b0a v\u00e0o v\u0103n b\u1ea3n \u0111\u01b0\u1ee3c t\u1ea1o.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00f4ng c\u1ee5 l\u1eadp k\u1ebf ho\u1ea1ch v\u0103n b\u1ea3n<\/strong>: Th\u00e0nh ph\u1ea7n n\u00e0y quy\u1ebft \u0111\u1ecbnh c\u00e1ch t\u1ed5 ch\u1ee9c v\u00e0 s\u1ef1 m\u1ea1ch l\u1ea1c c\u1ee7a n\u1ed9i dung \u0111\u1ec3 t\u1ea1o n\u00ean m\u1ed9t c\u00e2u chuy\u1ec7n g\u1eafn k\u1ebft.<\/p>\n<\/li>\n<li>\n<p><strong>B\u1ed9 t\u1ea1o b\u1ec1 m\u1eb7t<\/strong>: Tr\u00ecnh nh\u1eadn d\u1ea1ng b\u1ec1 m\u1eb7t chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac v\u00e0 n\u1ed9i dung \u0111\u01b0\u1ee3c l\u00ean k\u1ebf ho\u1ea1ch th\u00e0nh c\u00e1c c\u00e2u m\u00e0 con ng\u01b0\u1eddi c\u00f3 th\u1ec3 \u0111\u1ecdc \u0111\u01b0\u1ee3c, c\u00f3 t\u00ednh \u0111\u1ebfn ng\u1eef ph\u00e1p, c\u00fa ph\u00e1p v\u00e0 ng\u1eef c\u1ea3nh.<\/p>\n<\/li>\n<\/ol>\n<p>Qu\u00e1 tr\u00ecnh NLG r\u1ea5t ph\u1ee9c t\u1ea1p v\u00e0 c\u00e1c h\u1ec7 th\u1ed1ng NLG hi\u1ec7n \u0111\u1ea1i th\u01b0\u1eddng k\u1ebft h\u1ee3p c\u00e1c k\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t v\u00e0 kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng c\u1ee7a ch\u00fang.<\/p>\n<h2>Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG).<\/h2>\n<p>T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG) th\u1ec3 hi\u1ec7n m\u1ed9t s\u1ed1 t\u00ednh n\u0103ng ch\u00ednh khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh m\u1ed9t c\u00f4ng ngh\u1ec7 m\u1ea1nh m\u1ebd v\u00e0 c\u00f3 gi\u00e1 tr\u1ecb:<\/p>\n<ol>\n<li>\n<p><strong>T\u1ef1 \u0111\u1ed9ng h\u00f3a<\/strong>: NLG t\u1ef1 \u0111\u1ed9ng h\u00f3a qu\u00e1 tr\u00ecnh t\u1ea1o n\u1ed9i dung v\u0103n b\u1ea3n, ti\u1ebft ki\u1ec7m th\u1eddi gian v\u00e0 c\u00f4ng s\u1ee9c khi s\u1ea3n xu\u1ea5t kh\u1ed1i l\u01b0\u1ee3ng v\u0103n b\u1ea3n l\u1edbn.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00e1 nh\u00e2n h\u00f3a<\/strong>: H\u1ec7 th\u1ed1ng NLG c\u00f3 th\u1ec3 t\u1ea1o n\u1ed9i dung \u0111\u01b0\u1ee3c c\u00e1 nh\u00e2n h\u00f3a, g\u1eedi \u0111\u1ebfn ng\u01b0\u1eddi d\u00f9ng c\u00e1 nh\u00e2n b\u1eb1ng th\u00f4ng tin t\u00f9y ch\u1ec9nh.<\/p>\n<\/li>\n<li>\n<p><strong>Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng<\/strong>: NLG c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng quy m\u00f4 s\u1ea3n xu\u1ea5t n\u1ed9i dung m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 \u0111\u1ec3 \u0111\u00e1p \u1ee9ng nhu c\u1ea7u cao m\u00e0 kh\u00f4ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn ch\u1ea5t l\u01b0\u1ee3ng.<\/p>\n<\/li>\n<li>\n<p><strong>T\u00ednh nh\u1ea5t qu\u00e1n<\/strong>: NLG \u0111\u1ea3m b\u1ea3o t\u00ednh nh\u1ea5t qu\u00e1n trong vi\u1ec7c s\u1eed d\u1ee5ng ng\u00f4n ng\u1eef v\u00e0 nh\u1eafn tin tr\u00ean nhi\u1ec1u k\u00eanh li\u00ean l\u1ea1c kh\u00e1c nhau.<\/p>\n<\/li>\n<li>\n<p><strong>Kh\u1ea3 n\u0103ng \u0111a ng\u00f4n ng\u1eef<\/strong>: H\u1ec7 th\u1ed1ng NLG ti\u00ean ti\u1ebfn c\u00f3 th\u1ec3 t\u1ea1o v\u0103n b\u1ea3n b\u1eb1ng nhi\u1ec1u ng\u00f4n ng\u1eef, t\u1ea1o \u0111i\u1ec1u ki\u1ec7n giao ti\u1ebfp to\u00e0n c\u1ea7u.<\/p>\n<\/li>\n<li>\n<p><strong>Gi\u1ea3m l\u1ed7i<\/strong>: B\u1eb1ng c\u00e1ch lo\u1ea1i b\u1ecf vi\u1ec7c t\u1ea1o n\u1ed9i dung th\u1ee7 c\u00f4ng, NLG gi\u1ea3m kh\u1ea3 n\u0103ng x\u1ea3y ra l\u1ed7i c\u1ee7a con ng\u01b0\u1eddi trong qu\u00e1 tr\u00ecnh t\u1ea1o v\u0103n b\u1ea3n.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1c ki\u1ec3u t\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG)<\/h2>\n<p>NLG bao g\u1ed3m nhi\u1ec1u lo\u1ea1i kh\u00e1c nhau, m\u1ed7i lo\u1ea1i \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ri\u00eang cho c\u00e1c \u1ee9ng d\u1ee5ng c\u1ee5 th\u1ec3. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 lo\u1ea1i NLG ph\u1ed5 bi\u1ebfn:<\/p>\n<table>\n<thead>\n<tr>\n<th>Ki\u1ec3u<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>NLG d\u1ef1a tr\u00ean quy t\u1eafc<\/td>\n<td>S\u1eed d\u1ee5ng c\u00e1c quy t\u1eafc v\u00e0 m\u1eabu \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh tr\u01b0\u1edbc \u0111\u1ec3 t\u1ea1o v\u0103n b\u1ea3n.<\/td>\n<\/tr>\n<tr>\n<td>NLG d\u1ef1a tr\u00ean m\u1eabu<\/td>\n<td>\u0110i\u1ec1n v\u00e0o c\u00e1c m\u1eabu \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf s\u1eb5n v\u1edbi th\u00f4ng tin c\u00f3 th\u1ec3 thay \u0111\u1ed5i.<\/td>\n<\/tr>\n<tr>\n<td>NLG th\u1ed1ng k\u00ea<\/td>\n<td>D\u1ef1a v\u00e0o c\u00e1c m\u00f4 h\u00ecnh th\u1ed1ng k\u00ea \u0111\u1ec3 t\u1ea1o ra ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean.<\/td>\n<\/tr>\n<tr>\n<td>NLG lai<\/td>\n<td>K\u1ebft h\u1ee3p nhi\u1ec1u ph\u01b0\u01a1ng ph\u00e1p ti\u1ebfp c\u1eadn \u0111\u1ec3 c\u00f3 NLG m\u1ea1nh m\u1ebd h\u01a1n.<\/td>\n<\/tr>\n<tr>\n<td>NLG h\u1ecdc s\u00e2u<\/td>\n<td>S\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u \u0111\u1ec3 t\u1ea1o ng\u00f4n ng\u1eef.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1c c\u00e1ch s\u1eed d\u1ee5ng T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG), c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng.<\/h2>\n<h3>\u1ee8ng d\u1ee5ng c\u1ee7a NLG:<\/h3>\n<ul>\n<li>\n<p><strong>T\u1ea1o n\u1ed9i dung t\u1ef1 \u0111\u1ed9ng<\/strong>: NLG c\u00f3 th\u1ec3 t\u1ea1o c\u00e1c b\u00e0i b\u00e1o, m\u00f4 t\u1ea3 s\u1ea3n ph\u1ea9m, b\u00e1o c\u00e1o t\u00e0i ch\u00ednh, v.v., gi\u00fap gi\u1ea3m nhu c\u1ea7u vi\u1ebft n\u1ed9i dung th\u1ee7 c\u00f4ng.<\/p>\n<\/li>\n<li>\n<p><strong>Kinh doanh th\u00f4ng minh<\/strong>: NLG c\u00f3 th\u1ec3 di\u1ec5n gi\u1ea3i k\u1ebft qu\u1ea3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u, \u0111\u1ed3ng th\u1eddi t\u1ea1o ra th\u00f4ng tin chi ti\u1ebft v\u00e0 b\u00e1o c\u00e1o b\u1eb1ng ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean, gi\u00fap vi\u1ec7c ra quy\u1ebft \u0111\u1ecbnh d\u1ef1a tr\u00ean d\u1eef li\u1ec7u tr\u1edf n\u00ean d\u1ec5 ti\u1ebfp c\u1eadn h\u01a1n.<\/p>\n<\/li>\n<li>\n<p><strong>Chatbots v\u00e0 tr\u1ee3 l\u00fd \u1ea3o<\/strong>: NLG cho ph\u00e9p chatbot v\u00e0 tr\u1ee3 l\u00fd \u1ea3o giao ti\u1ebfp v\u1edbi ng\u01b0\u1eddi d\u00f9ng theo c\u00e1ch gi\u1ed1ng con ng\u01b0\u1eddi, n\u00e2ng cao tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi d\u00f9ng.<\/p>\n<\/li>\n<li>\n<p><strong>D\u1ecbch ng\u00f4n ng\u1eef<\/strong>: NLG c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 d\u1ecbch t\u1ef1 \u0111\u1ed9ng v\u0103n b\u1ea3n t\u1eeb ng\u00f4n ng\u1eef n\u00e0y sang ng\u00f4n ng\u1eef kh\u00e1c, th\u00fac \u0111\u1ea9y giao ti\u1ebfp \u0111a ng\u00f4n ng\u1eef.<\/p>\n<\/li>\n<\/ul>\n<h3>V\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p:<\/h3>\n<ul>\n<li>\n<p><strong>Hi\u1ec3u bi\u1ebft theo ng\u1eef c\u1ea3nh<\/strong>: Vi\u1ec7c \u0111\u1ea3m b\u1ea3o c\u00e1c h\u1ec7 th\u1ed1ng NLG hi\u1ec3u \u0111\u01b0\u1ee3c b\u1ed1i c\u1ea3nh v\u00e0 \u0111\u01b0a ra c\u00e1c ph\u1ea3n h\u1ed3i ch\u00ednh x\u00e1c v\u00e0 ph\u00f9 h\u1ee3p v\u1edbi b\u1ed1i c\u1ea3nh v\u1eabn l\u00e0 m\u1ed9t th\u00e1ch th\u1ee9c. C\u00e1c gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh NLP n\u00e2ng cao v\u00e0 nh\u00fang theo ng\u1eef c\u1ea3nh.<\/p>\n<\/li>\n<li>\n<p><strong>Giai \u0111i\u1ec7u v\u00e0 phong c\u00e1ch<\/strong>: Vi\u1ec7c \u0111\u1ea1t \u0111\u01b0\u1ee3c gi\u1ecdng \u0111i\u1ec7u v\u00e0 phong c\u00e1ch vi\u1ebft ph\u00f9 h\u1ee3p c\u00f3 th\u1ec3 kh\u00f3 kh\u0103n \u0111\u1ed1i v\u1edbi h\u1ec7 th\u1ed1ng NLG. Tinh ch\u1ec9nh c\u00e1c m\u00f4 h\u00ecnh v\u1edbi d\u1eef li\u1ec7u ki\u1ec3u c\u1ee5 th\u1ec3 c\u00f3 th\u1ec3 gi\u00fap gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 n\u00e0y.<\/p>\n<\/li>\n<li>\n<p><strong>Ch\u1ea5t l\u01b0\u1ee3ng d\u1eef li\u1ec7u<\/strong>: D\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o c\u00f3 ch\u1ea5t l\u01b0\u1ee3ng k\u00e9m c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn k\u1ebft qu\u1ea3 \u0111\u1ea7u ra b\u1ecb l\u1ed7i. Duy tr\u00ec ch\u1ea5t l\u01b0\u1ee3ng d\u1eef li\u1ec7u th\u00f4ng qua qu\u00e1 tr\u00ecnh ti\u1ec1n x\u1eed l\u00fd v\u00e0 l\u00e0m s\u1ea1ch d\u1eef li\u1ec7u l\u00e0 \u0111i\u1ec1u c\u1ea7n thi\u1ebft.<\/p>\n<\/li>\n<li>\n<p><strong>M\u1ed1i quan t\u00e2m v\u1ec1 \u0111\u1ea1o \u0111\u1ee9c<\/strong>: H\u1ec7 th\u1ed1ng NLG ph\u1ea3i \u0111\u01b0\u1ee3c l\u1eadp tr\u00ecnh v\u1edbi c\u00e1c nguy\u00ean t\u1eafc \u0111\u1ea1o \u0111\u1ee9c \u0111\u1ec3 ng\u0103n ch\u1eb7n th\u00f4ng tin sai l\u1ec7ch ho\u1eb7c t\u1ea1o ra n\u1ed9i dung sai l\u1ec7ch.<\/p>\n<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 c\u00e1c so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1 d\u01b0\u1edbi d\u1ea1ng b\u1ea3ng v\u00e0 danh s\u00e1ch.<\/h2>\n<h3>So s\u00e1nh NLG v\u1edbi NLP v\u00e0 NLU:<\/h3>\n<table>\n<thead>\n<tr>\n<th>Di\u1ec7n m\u1ea1o<\/th>\n<th>T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG)<\/th>\n<th>X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP)<\/th>\n<th>Hi\u1ec3u ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLU)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>M\u1ee5c ti\u00eau<\/td>\n<td>T\u1ea1o v\u0103n b\u1ea3n gi\u1ed1ng con ng\u01b0\u1eddi<\/td>\n<td>X\u1eed l\u00fd v\u00e0 ph\u00e2n t\u00edch ng\u00f4n ng\u1eef c\u1ee7a con ng\u01b0\u1eddi<\/td>\n<td>Hi\u1ec3u v\u00e0 gi\u1ea3i th\u00edch ng\u00f4n ng\u1eef<\/td>\n<\/tr>\n<tr>\n<td>\u0111\u1ea7u ra<\/td>\n<td>T\u01b0\u1eddng thu\u1eadt b\u1eb1ng v\u0103n b\u1ea3n<\/td>\n<td>Th\u00f4ng tin chi ti\u1ebft, t\u00f3m t\u1eaft ho\u1eb7c ph\u00e2n t\u00edch<\/td>\n<td>\u00dd ngh\u0129a ho\u1eb7c m\u1ee5c \u0111\u00edch \u0111\u01b0\u1ee3c tr\u00edch xu\u1ea5t<\/td>\n<\/tr>\n<tr>\n<td>Mi\u1ec1n \u1ee9ng d\u1ee5ng<\/td>\n<td>T\u1ea1o n\u1ed9i dung, chatbot<\/td>\n<td>Ph\u00e2n t\u00edch t\u00ecnh c\u1ea3m, d\u1ecbch thu\u1eadt<\/td>\n<td>Nh\u1eadn d\u1ea1ng \u00fd \u0111\u1ecbnh, chatbot<\/td>\n<\/tr>\n<tr>\n<td>Tr\u1ecdng t\u00e2m c\u00f4ng ngh\u1ec7<\/td>\n<td>Thu\u1eadt to\u00e1n t\u1ea1o v\u0103n b\u1ea3n<\/td>\n<td>\u0110\u01b0\u1eddng \u1ed1ng v\u00e0 m\u00f4 h\u00ecnh NLP<\/td>\n<td>M\u00f4 h\u00ecnh nh\u1eadn d\u1ea1ng \u00fd \u0111\u1ecbnh<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1c quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG).<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG) \u0111\u1ea7y h\u1ee9a h\u1eb9n v\u1edbi m\u1ed9t s\u1ed1 ph\u00e1t tri\u1ec3n ch\u00ednh \u0111\u01b0\u1ee3c mong \u0111\u1ee3i:<\/p>\n<ol>\n<li>\n<p><strong>C\u00e1c m\u00f4 h\u00ecnh NLP n\u00e2ng cao<\/strong>: H\u1ec7 th\u1ed1ng NLG s\u1ebd t\u00edch h\u1ee3p c\u00e1c m\u00f4 h\u00ecnh NLP ti\u00ean ti\u1ebfn h\u01a1n, ch\u1eb3ng h\u1ea1n nh\u01b0 m\u00f4 h\u00ecnh d\u1ef1a tr\u00ean m\u00e1y bi\u1ebfn \u00e1p, \u0111\u1ec3 n\u00e2ng cao kh\u1ea3 n\u0103ng hi\u1ec3u v\u00e0 t\u1ea1o ng\u00f4n ng\u1eef.<\/p>\n<\/li>\n<li>\n<p><strong>Th\u00edch \u1ee9ng theo ng\u1eef c\u1ea3nh<\/strong>: H\u1ec7 th\u1ed1ng NLG s\u1ebd hi\u1ec3u ng\u1eef c\u1ea3nh t\u1ed1t h\u01a1n v\u00e0 t\u1ea1o ra c\u00e1c ph\u1ea3n h\u1ed3i nh\u1eadn bi\u1ebft ng\u1eef c\u1ea3nh.<\/p>\n<\/li>\n<li>\n<p><strong>NLG \u0111a ph\u01b0\u01a1ng th\u1ee9c<\/strong>: NLG s\u1ebd k\u1ebft h\u1ee3p v\u0103n b\u1ea3n v\u1edbi c\u00e1c h\u00ecnh th\u1ee9c truy\u1ec1n th\u00f4ng kh\u00e1c, nh\u01b0 h\u00ecnh \u1ea3nh v\u00e0 video, \u0111\u1ec3 t\u1ea1o ra n\u1ed9i dung s\u1ed1ng \u0111\u1ed9ng v\u00e0 bi\u1ec3u c\u1ea3m h\u01a1n.<\/p>\n<\/li>\n<li>\n<p><strong>NLG th\u1eddi gian th\u1ef1c<\/strong>: H\u1ec7 th\u1ed1ng NLG th\u1eddi gian th\u1ef1c s\u1ebd cho ph\u00e9p t\u1ea1o n\u1ed9i dung t\u1ee9c th\u1eddi, n\u00e2ng cao kh\u1ea3 n\u0103ng b\u00e1o c\u00e1o s\u1ef1 ki\u1ec7n tr\u1ef1c ti\u1ebfp v\u00e0 t\u01b0\u01a1ng t\u00e1c v\u1edbi kh\u00e1ch h\u00e0ng.<\/p>\n<\/li>\n<li>\n<p><strong>NLG \u0111\u1ea1o \u0111\u1ee9c<\/strong>: Nh\u1eefng c\u00e2n nh\u1eafc v\u1ec1 m\u1eb7t \u0111\u1ea1o \u0111\u1ee9c s\u1ebd \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c ph\u00e1t tri\u1ec3n h\u1ec7 th\u1ed1ng NLG nh\u1eb1m t\u1ea1o ra n\u1ed9i dung kh\u00e1ch quan v\u00e0 \u0111\u00e1ng tin c\u1eady.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG).<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c h\u1ed7 tr\u1ee3 c\u00e1c \u1ee9ng d\u1ee5ng T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG), \u0111\u1eb7c bi\u1ec7t l\u00e0 nh\u1eefng \u1ee9ng d\u1ee5ng y\u00eau c\u1ea7u x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn v\u00e0 li\u00ean l\u1ea1c v\u1edbi c\u00e1c d\u1ecbch v\u1ee5 b\u00ean ngo\u00e0i. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 c\u00e1ch c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi NLG:<\/p>\n<ol>\n<li>\n<p><strong>Thu th\u1eadp d\u1eef li\u1ec7u<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 qu\u00e9t web, thu th\u1eadp d\u1eef li\u1ec7u li\u00ean quan t\u1eeb c\u00e1c ngu\u1ed3n kh\u00e1c nhau c\u1ea7n thi\u1ebft \u0111\u1ec3 t\u1ea1o n\u1ed9i dung NLG.<\/p>\n<\/li>\n<li>\n<p><strong>An ninh v\u00e0 s\u1ef1 ri\u00eang t\u01b0<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 b\u1ed5 sung th\u00eam m\u1ed9t l\u1edbp b\u1ea3o m\u1eadt v\u00e0 \u1ea9n danh, b\u1ea3o v\u1ec7 h\u1ec7 th\u1ed1ng NLG kh\u1ecfi c\u00e1c m\u1ed1i \u0111e d\u1ecda m\u1ea1ng ti\u1ec1m \u1ea9n v\u00e0 b\u1ea3o v\u1ec7 d\u1eef li\u1ec7u ng\u01b0\u1eddi d\u00f9ng.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00e2n b\u1eb1ng t\u1ea3i<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 ph\u00e2n ph\u1ed1i c\u00e1c y\u00eau c\u1ea7u NLG tr\u00ean nhi\u1ec1u m\u00e1y ch\u1ee7, \u0111\u1ea3m b\u1ea3o s\u1eed d\u1ee5ng t\u00e0i nguy\u00ean hi\u1ec7u qu\u1ea3 v\u00e0 ho\u1ea1t \u0111\u1ed9ng tr\u01a1n tru trong th\u1eddi gian s\u1eed d\u1ee5ng cao \u0111i\u1ec3m.<\/p>\n<\/li>\n<li>\n<p><strong>Xoay v\u00f2ng IP<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c xoay v\u00f2ng IP, ng\u0103n ch\u1eb7n c\u00e1c h\u1ea1n ch\u1ebf d\u1ef1a tr\u00ean IP v\u00e0 \u0111\u1ea3m b\u1ea3o lu\u1ed3ng d\u1eef li\u1ec7u li\u00ean t\u1ee5c cho c\u00e1c t\u00e1c v\u1ee5 NLG.<\/p>\n<\/li>\n<li>\n<p><strong>Nh\u1eafm m\u1ee5c ti\u00eau theo v\u1ecb tr\u00ed \u0111\u1ecba l\u00fd<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 v\u1ecb tr\u00ed \u0111\u1ecba l\u00fd kh\u00e1c nhau c\u00f3 th\u1ec3 gi\u00fap ki\u1ec3m tra v\u00e0 \u0111i\u1ec1u ch\u1ec9nh \u0111\u1ea7u ra NLG cho ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c khu v\u1ef1c v\u00e0 ng\u00f4n ng\u1eef c\u1ee5 th\u1ec3.<\/p>\n<\/li>\n<\/ol>\n<p>T\u00f3m l\u1ea1i, T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLG) l\u00e0 m\u1ed9t c\u00f4ng ngh\u1ec7 \u0111\u1ed9t ph\u00e1 \u0111\u00e3 c\u00e1ch m\u1ea1ng h\u00f3a vi\u1ec7c t\u1ea1o n\u1ed9i dung, gi\u1ea3i th\u00edch d\u1eef li\u1ec7u v\u00e0 giao ti\u1ebfp trong c\u00e1c ng\u00e0nh kh\u00e1c nhau. V\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 kh\u00f4ng ng\u1eebng trong AI v\u00e0 NLP, NLG s\u1eb5n s\u00e0ng \u0111\u1ecbnh h\u00ecnh l\u1ea1i c\u00e1ch ch\u00fang ta t\u01b0\u01a1ng t\u00e1c v\u1edbi th\u00f4ng tin, m\u1edf \u0111\u01b0\u1eddng cho m\u1ed9t t\u01b0\u01a1ng lai giao ti\u1ebfp hi\u1ec7u qu\u1ea3 v\u00e0 h\u1ea5p d\u1eabn h\u01a1n.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ul>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Natural_language_generation\" target=\"_new\" rel=\"noopener nofollow\">NLG: Wikipedia<\/a><\/li>\n<li><a href=\"https:\/\/www.ibm.com\/cloud\/learn\/natural-language-generation\" target=\"_new\" rel=\"noopener nofollow\">H\u01b0\u1edbng d\u1eabn cho ng\u01b0\u1eddi m\u1edbi b\u1eaft \u0111\u1ea7u v\u1ec1 NLG<\/a> (T\u00ecm hi\u1ec3u v\u1ec1 \u0111\u00e1m m\u00e2y c\u1ee7a IBM)<\/li>\n<li><a href=\"https:\/\/www.springboard.com\/library\/artificial-intelligence\/natural-language-generation\/\" target=\"_new\" rel=\"noopener nofollow\">T\u1ea1o ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean trong AI<\/a> (Th\u01b0 vi\u1ec7n AI Springboard)<\/li>\n<\/ul>","protected":false},"featured_media":468985,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478103","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Natural Language Generation (NLG) - Empowering Communication with Automated Text Generation<\/mark>","faq_items":[{"question":"What is Natural Language Generation (NLG)?","answer":"<p>Natural Language Generation (NLG) is an innovative AI technology that automates the process of generating human-like text from structured data. It transforms data into coherent and contextually relevant narratives, making it a powerful tool for content creation and communication.<\/p>"},{"question":"How did Natural Language Generation (NLG) originate?","answer":"<p>The roots of NLG can be traced back to the 1960s when researchers first experimented with computational models for language generation. The first mention of NLG is attributed to Daniel Bobrow in 1964, who developed the \"STUDENT\" program capable of solving algebra word problems by converting them into natural language explanations.<\/p>"},{"question":"How does Natural Language Generation (NLG) work?","answer":"<p>NLG systems comprise several components, including content planning, document structuring, text generation, and language realization. It uses structured data, a knowledge base, lexicon, and syntax rules to convert data into coherent human-readable text.<\/p>"},{"question":"What are the key features of Natural Language Generation (NLG)?","answer":"<p>NLG offers automation, personalization, scalability, consistency, multilingual capabilities, and error reduction. It efficiently generates vast amounts of content while maintaining quality and adhering to user preferences.<\/p>"},{"question":"What types of Natural Language Generation (NLG) exist?","answer":"<p>NLG comes in various types, including rule-based, template-based, statistical, hybrid, and deep learning NLG. Each type serves different purposes and is suitable for various applications.<\/p>"},{"question":"How can Natural Language Generation (NLG) be used?","answer":"<p>NLG finds applications in automated content creation, business intelligence, chatbots, virtual assistants, and language translation, streamlining various processes and enhancing user experience.<\/p>"},{"question":"What are some common challenges and solutions related to NLG usage?","answer":"<p>NLG faces challenges related to contextual understanding, tone and style, data quality, and ethical concerns. These challenges can be addressed through advanced NLP models, fine-tuning, data preprocessing, and ethical guidelines.<\/p>"},{"question":"How does Natural Language Generation (NLG) compare with NLP and NLU?","answer":"<p>NLG focuses on generating human-like text, while Natural Language Processing (NLP) analyzes language, and Natural Language Understanding (NLU) comprehends and interprets language. Each has unique applications and technology focuses.<\/p>"},{"question":"What are the future perspectives of Natural Language Generation (NLG)?","answer":"<p>The future of NLG is promising, with advancements expected in NLP models, contextual adaptation, multimodal NLG, real-time capabilities, and ethical considerations.<\/p>"},{"question":"How are proxy servers associated with Natural Language Generation (NLG)?","answer":"<p>Proxy servers support NLG applications by handling data collection, ensuring security and privacy, load balancing, IP rotations, and facilitating geolocation targeting. They play a crucial role in enhancing NLG performance and efficiency.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478103","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478103\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468985"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=478103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}