{"id":476792,"date":"2023-08-09T07:36:15","date_gmt":"2023-08-09T07:36:15","guid":{"rendered":""},"modified":"2023-09-05T11:13:27","modified_gmt":"2023-09-05T11:13:27","slug":"dependency-parsing","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/dependency-parsing\/","title":{"rendered":"Ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c"},"content":{"rendered":"<p>Ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt thi\u1ebft y\u1ebfu \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng trong l\u0129nh v\u1ef1c X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean (NLP) gi\u00fap hi\u1ec3u v\u00e0 th\u1ec3 hi\u1ec7n c\u1ea5u tr\u00fac ng\u1eef ph\u00e1p c\u1ee7a c\u00e2u. N\u00f3 t\u1ea1o th\u00e0nh x\u01b0\u01a1ng s\u1ed1ng c\u1ee7a m\u1ed9t s\u1ed1 \u1ee9ng d\u1ee5ng trong NLP nh\u01b0 d\u1ecbch m\u00e1y, tr\u00edch xu\u1ea5t th\u00f4ng tin v\u00e0 h\u1ec7 th\u1ed1ng tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi.<\/p>\n<h2>B\u1ed1i c\u1ea3nh l\u1ecbch s\u1eed v\u00e0 nh\u1eefng \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c<\/h2>\n<p>Ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c nh\u01b0 m\u1ed9t kh\u00e1i ni\u1ec7m b\u1eaft ngu\u1ed3n t\u1eeb nh\u1eefng n\u0103m \u0111\u1ea7u c\u1ee7a ng\u00f4n ng\u1eef h\u1ecdc l\u00fd thuy\u1ebft. Nh\u1eefng kh\u00e1i ni\u1ec7m \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c l\u1ea5y c\u1ea3m h\u1ee9ng t\u1eeb c\u00e1c l\u00fd thuy\u1ebft ng\u1eef ph\u00e1p truy\u1ec1n th\u1ed1ng c\u00f3 t\u1eeb th\u1eddi Panini, m\u1ed9t nh\u00e0 ng\u1eef ph\u00e1p c\u1ed5 \u0111\u1ea1i c\u1ee7a \u1ea4n \u0110\u1ed9. Tuy nhi\u00ean, d\u1ea1ng ng\u1eef ph\u00e1p ph\u1ee5 thu\u1ed9c hi\u1ec7n \u0111\u1ea1i ch\u1ee7 y\u1ebfu \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n v\u00e0o th\u1ebf k\u1ef7 20 b\u1edfi nh\u00e0 ng\u00f4n ng\u1eef h\u1ecdc Lucien Tesni\u00e8re.<\/p>\n<p>Tesni\u00e8re \u0111\u00e3 gi\u1edbi thi\u1ec7u thu\u1eadt ng\u1eef \u201cph\u1ee5 thu\u1ed9c\u201d trong t\u00e1c ph\u1ea9m \u0111\u1ea7u tay \u201cC\u00e1c y\u1ebfu t\u1ed1 c\u1ee7a c\u00fa ph\u00e1p c\u1ea5u tr\u00fac\u201d, \u0111\u01b0\u1ee3c xu\u1ea5t b\u1ea3n sau khi \u00f4ng m\u1ea5t n\u0103m 1959. \u00d4ng l\u1eadp lu\u1eadn r\u1eb1ng m\u1ed1i quan h\u1ec7 c\u00fa ph\u00e1p gi\u1eefa c\u00e1c t\u1eeb \u0111\u01b0\u1ee3c n\u1eafm b\u1eaft t\u1ed1t nh\u1ea5t b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng kh\u00e1i ni\u1ec7m ph\u1ee5 thu\u1ed9c thay v\u00ec c\u00e1c c\u00e1ch ti\u1ebfp c\u1eadn d\u1ef1a tr\u00ean khu v\u1ef1c b\u1ea7u c\u1eed.<\/p>\n<h2>M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1: Th\u00f4ng tin chi ti\u1ebft v\u1ec1 ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c<\/h2>\n<p>Ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c nh\u1eb1m m\u1ee5c \u0111\u00edch x\u00e1c \u0111\u1ecbnh m\u1ed1i quan h\u1ec7 ng\u1eef ph\u00e1p gi\u1eefa c\u00e1c t\u1eeb trong c\u00e2u v\u00e0 bi\u1ec3u di\u1ec5n ch\u00fang d\u01b0\u1edbi d\u1ea1ng c\u1ea5u tr\u00fac c\u00e2y, trong \u0111\u00f3 m\u1ed7i n\u00fat \u0111\u1ea1i di\u1ec7n cho m\u1ed9t t\u1eeb v\u00e0 m\u1ed7i c\u1ea1nh th\u1ec3 hi\u1ec7n m\u1ed1i quan h\u1ec7 ph\u1ee5 thu\u1ed9c gi\u1eefa c\u00e1c t\u1eeb. Trong nh\u1eefng c\u1ea5u tr\u00fac n\u00e0y, m\u1ed9t t\u1eeb (ph\u1ea7n \u0111\u1ea7u) chi ph\u1ed1i ho\u1eb7c ph\u1ee5 thu\u1ed9c v\u00e0o c\u00e1c t\u1eeb kh\u00e1c (nh\u1eefng t\u1eeb ph\u1ee5 thu\u1ed9c).<\/p>\n<p>V\u00ed d\u1ee5, h\u00e3y xem x\u00e9t c\u00e2u: \u201cJohn \u0111\u00e3 n\u00e9m qu\u1ea3 b\u00f3ng\u201d. Trong c\u00e2y ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c, \u201cthrew\u201d s\u1ebd l\u00e0 g\u1ed1c (ho\u1eb7c \u0111\u1ea7u) c\u1ee7a c\u00e2u, trong khi \u201cJohn\u201d v\u00e0 \u201cthe ball\u201d l\u00e0 ph\u1ea7n ph\u1ee5 thu\u1ed9c c\u1ee7a n\u00f3. H\u01a1n n\u1eefa, \u201cqu\u1ea3 b\u00f3ng\u201d c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c chia th\u00e0nh \u201cthe\u201d v\u00e0 \u201cball\u201d, v\u1edbi \u201cball\u201d l\u00e0 \u0111\u1ea7u v\u00e0 \u201cthe\u201d l\u00e0 ph\u1ea7n ph\u1ee5 thu\u1ed9c c\u1ee7a n\u00f3.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c: C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng<\/h2>\n<p>Ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c bao g\u1ed3m m\u1ed9t s\u1ed1 giai \u0111o\u1ea1n:<\/p>\n<ol>\n<li><strong>M\u00e3 th\u00f4ng b\u00e1o:<\/strong> V\u0103n b\u1ea3n \u0111\u01b0\u1ee3c chia th\u00e0nh c\u00e1c t\u1eeb ri\u00eang l\u1ebb ho\u1eb7c m\u00e3 th\u00f4ng b\u00e1o.<\/li>\n<li><strong>G\u1eafn th\u1ebb m\u1ed9t ph\u1ea7n c\u1ee7a b\u00e0i ph\u00e1t bi\u1ec3u (POS):<\/strong> M\u1ed7i m\u00e3 th\u00f4ng b\u00e1o \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n v\u1edbi ph\u1ea7n l\u1eddi n\u00f3i th\u00edch h\u1ee3p, ch\u1eb3ng h\u1ea1n nh\u01b0 danh t\u1eeb, \u0111\u1ed9ng t\u1eeb, t\u00ednh t\u1eeb, v.v.<\/li>\n<li><strong>B\u00e0i t\u1eadp quan h\u1ec7 ph\u1ee5 thu\u1ed9c:<\/strong> M\u1ed1i quan h\u1ec7 ph\u1ee5 thu\u1ed9c \u0111\u01b0\u1ee3c g\u00e1n gi\u1eefa c\u00e1c m\u00e3 th\u00f4ng b\u00e1o d\u1ef1a tr\u00ean c\u00e1c quy t\u1eafc ng\u1eef ph\u00e1p ph\u1ee5 thu\u1ed9c. V\u00ed d\u1ee5, trong ti\u1ebfng Anh, ch\u1ee7 ng\u1eef c\u1ee7a \u0111\u1ed9ng t\u1eeb th\u01b0\u1eddng \u1edf b\u00ean tr\u00e1i v\u00e0 t\u00e2n ng\u1eef \u1edf b\u00ean ph\u1ea3i.<\/li>\n<li><strong>C\u1ea5u tr\u00fac c\u00e2y:<\/strong> C\u00e2y ph\u00e2n t\u00edch c\u00fa ph\u00e1p \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng v\u1edbi c\u00e1c t\u1eeb \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n l\u00e0 c\u00e1c n\u00fat v\u00e0 c\u00e1c quan h\u1ec7 ph\u1ee5 thu\u1ed9c l\u00e0 c\u00e1c c\u1ea1nh.<\/li>\n<\/ol>\n<h2>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c<\/h2>\n<p>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m c\u01a1 b\u1ea3n c\u1ee7a ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>T\u00ednh \u0111\u1ecbnh h\u01b0\u1edbng:<\/strong> C\u00e1c m\u1ed1i quan h\u1ec7 ph\u1ee5 thu\u1ed9c v\u1ed1n c\u00f3 t\u00ednh \u0111\u1ecbnh h\u01b0\u1edbng, t\u1ee9c l\u00e0 ch\u00fang \u0111i t\u1eeb \u0111\u1ea7u \u0111\u1ebfn ph\u1ee5 thu\u1ed9c.<\/li>\n<li><strong>Quan h\u1ec7 nh\u1ecb ph\u00e2n:<\/strong> M\u1ed7i quan h\u1ec7 ph\u1ee5 thu\u1ed9c ch\u1ec9 bao g\u1ed3m hai ph\u1ea7n t\u1eed, ph\u1ea7n t\u1eed \u0111\u1ee9ng \u0111\u1ea7u v\u00e0 ph\u1ea7n t\u1eed ph\u1ee5 thu\u1ed9c.<\/li>\n<li><strong>K\u1ebft c\u1ea5u:<\/strong> N\u00f3 t\u1ea1o ra m\u1ed9t c\u1ea5u tr\u00fac d\u1ea1ng c\u00e2y, cung c\u1ea5p c\u00e1i nh\u00ecn ph\u00e2n c\u1ea5p c\u1ee7a c\u00e2u.<\/li>\n<li><strong>C\u00e1c lo\u1ea1i ph\u1ee5 thu\u1ed9c:<\/strong> M\u1ed1i quan h\u1ec7 gi\u1eefa ph\u1ea7n \u0111\u1ea7u v\u00e0 nh\u1eefng ph\u1ea7n ph\u1ee5 thu\u1ed9c c\u1ee7a n\u00f3 \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n r\u00f5 r\u00e0ng b\u1eb1ng c\u00e1c lo\u1ea1i quan h\u1ec7 ng\u1eef ph\u00e1p nh\u01b0 \u201cch\u1ee7 \u0111\u1ec1\u201d, \u201c\u0111\u1ed1i t\u01b0\u1ee3ng\u201d, \u201ct\u1eeb b\u1ed5 ngh\u0129a\u201d, v.v.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c<\/h2>\n<p>C\u00f3 hai lo\u1ea1i ph\u01b0\u01a1ng ph\u00e1p ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c ch\u00ednh:<\/p>\n<ol>\n<li>\n<p><strong>C\u00e1c m\u00f4 h\u00ecnh d\u1ef1a tr\u00ean \u0111\u1ed3 th\u1ecb:<\/strong> Nh\u1eefng m\u00f4 h\u00ecnh n\u00e0y t\u1ea1o ra t\u1ea5t c\u1ea3 c\u00e1c c\u00e2y ph\u00e2n t\u00edch c\u00f3 th\u1ec3 c\u00f3 cho m\u1ed9t c\u00e2u v\u00e0 cho \u0111i\u1ec3m ch\u00fang. C\u00e2y c\u00f3 s\u1ed1 \u0111i\u1ec3m cao nh\u1ea5t s\u1ebd \u0111\u01b0\u1ee3c ch\u1ecdn. M\u00f4 h\u00ecnh d\u1ef1a tr\u00ean \u0111\u1ed3 th\u1ecb n\u1ed5i ti\u1ebfng nh\u1ea5t l\u00e0 thu\u1eadt to\u00e1n Eisner.<\/p>\n<\/li>\n<li>\n<p><strong>C\u00e1c m\u00f4 h\u00ecnh d\u1ef1a tr\u00ean chuy\u1ec3n \u0111\u1ed5i:<\/strong> Nh\u1eefng m\u00f4 h\u00ecnh n\u00e0y x\u00e2y d\u1ef1ng c\u00e2y ph\u00e2n t\u00edch t\u0103ng d\u1ea7n. Ch\u00fang b\u1eaft \u0111\u1ea7u v\u1edbi c\u1ea5u h\u00ecnh ban \u0111\u1ea7u v\u00e0 \u00e1p d\u1ee5ng m\u1ed9t chu\u1ed7i h\u00e0nh \u0111\u1ed9ng (nh\u01b0 SHIFT, REDUCE) \u0111\u1ec3 l\u1ea5y ra c\u00e2y ph\u00e2n t\u00edch c\u00fa ph\u00e1p. M\u1ed9t v\u00ed d\u1ee5 v\u1ec1 m\u00f4 h\u00ecnh d\u1ef1a tr\u00ean chuy\u1ec3n \u0111\u1ed5i l\u00e0 thu\u1eadt to\u00e1n ti\u00eau chu\u1ea9n Arc.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c, v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<p>Ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng r\u1ed9ng r\u00e3i trong c\u00e1c \u1ee9ng d\u1ee5ng NLP, bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>D\u1ecbch m\u00e1y:<\/strong> N\u00f3 gi\u00fap x\u00e1c \u0111\u1ecbnh c\u00e1c m\u1ed1i quan h\u1ec7 ng\u1eef ph\u00e1p trong ng\u00f4n ng\u1eef ngu\u1ed3n v\u00e0 b\u1ea3o t\u1ed3n ch\u00fang trong v\u0103n b\u1ea3n d\u1ecbch.<\/li>\n<li><strong>Khai th\u00e1c th\u00f4ng tin:<\/strong> N\u00f3 h\u1ed7 tr\u1ee3 trong vi\u1ec7c hi\u1ec3u \u00fd ngh\u0129a c\u1ee7a v\u0103n b\u1ea3n v\u00e0 tr\u00edch xu\u1ea5t th\u00f4ng tin h\u1eefu \u00edch.<\/li>\n<li><strong>Ph\u00e2n t\u00edch t\u00ecnh c\u1ea3m:<\/strong> B\u1eb1ng c\u00e1ch x\u00e1c \u0111\u1ecbnh c\u00e1c ph\u1ea7n ph\u1ee5 thu\u1ed9c, n\u00f3 c\u00f3 th\u1ec3 gi\u00fap hi\u1ec3u \u0111\u01b0\u1ee3c c\u1ea3m x\u00fac c\u1ee7a m\u1ed9t c\u00e2u ch\u00ednh x\u00e1c h\u01a1n.<\/li>\n<\/ul>\n<p>Tuy nhi\u00ean, vi\u1ec7c ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c c\u00f3 nh\u1eefng th\u00e1ch th\u1ee9c:<\/p>\n<ul>\n<li><strong>S\u1ef1 m\u01a1 h\u1ed3:<\/strong> S\u1ef1 m\u01a1 h\u1ed3 trong ng\u00f4n ng\u1eef c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn nhi\u1ec1u c\u00e2y ph\u00e2n t\u00edch c\u00fa ph\u00e1p h\u1ee3p l\u1ec7. Gi\u1ea3i quy\u1ebft s\u1ef1 m\u01a1 h\u1ed3 nh\u01b0 v\u1eady l\u00e0 m\u1ed9t nhi\u1ec7m v\u1ee5 \u0111\u1ea7y th\u00e1ch th\u1ee9c.<\/li>\n<li><strong>Hi\u1ec7u su\u1ea5t:<\/strong> Ph\u00e2n t\u00edch c\u00fa ph\u00e1p c\u00f3 th\u1ec3 \u0111\u00f2i h\u1ecfi nhi\u1ec1u t\u00ednh to\u00e1n, \u0111\u1eb7c bi\u1ec7t \u0111\u1ed1i v\u1edbi c\u00e1c c\u00e2u d\u00e0i.<\/li>\n<\/ul>\n<p>C\u00e1c c\u00e1ch ti\u1ebfp c\u1eadn gi\u1ea3i ph\u00e1p:<\/p>\n<ul>\n<li><strong>H\u1ecdc m\u00e1y:<\/strong> K\u1ef9 thu\u1eadt h\u1ecdc m\u00e1y c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ph\u00e2n bi\u1ec7t gi\u1eefa nhi\u1ec1u c\u00e2y ph\u00e2n t\u00edch c\u00fa ph\u00e1p.<\/li>\n<li><strong>Thu\u1eadt to\u00e1n t\u1ed1i \u01b0u h\u00f3a:<\/strong> C\u00e1c thu\u1eadt to\u00e1n hi\u1ec7u qu\u1ea3 \u0111\u00e3 \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a qu\u00e1 tr\u00ecnh ph\u00e2n t\u00edch c\u00fa ph\u00e1p.<\/li>\n<\/ul>\n<h2>So s\u00e1nh v\u1edbi c\u00e1c \u0111i\u1ec1u kho\u1ea3n t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th><\/th>\n<th>Ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c<\/th>\n<th>Ph\u00e2n t\u00edch c\u1eed tri<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>T\u1eadp trung<\/td>\n<td>Quan h\u1ec7 nh\u1ecb ph\u00e2n (ph\u1ee5 thu\u1ed9c v\u00e0o \u0111\u1ea7u)<\/td>\n<td>th\u00e0nh ph\u1ea7n c\u1ee5m t\u1eeb<\/td>\n<\/tr>\n<tr>\n<td>K\u1ebft c\u1ea5u<\/td>\n<td>C\u1ea5u tr\u00fac d\u1ea1ng c\u00e2y, c\u00f3 th\u1ec3 c\u00f3 m\u1ed9t t\u1eeb g\u1ed1c cho m\u1ed7i t\u1eeb<\/td>\n<td>C\u1ea5u tr\u00fac d\u1ea1ng c\u00e2y, cho ph\u00e9p nhi\u1ec1u cha m\u1eb9 cho m\u1ed9t t\u1eeb<\/td>\n<\/tr>\n<tr>\n<td>\u0110\u01b0\u1ee3c d\u00f9ng cho<\/td>\n<td>Khai th\u00e1c th\u00f4ng tin, d\u1ecbch m\u00e1y, ph\u00e2n t\u00edch t\u00ecnh c\u1ea3m<\/td>\n<td>T\u1ea1o c\u00e2u, d\u1ecbch m\u00e1y<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c<\/h2>\n<p>V\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 trong h\u1ecdc m\u00e1y v\u00e0 tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o, vi\u1ec7c ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c d\u1ef1 ki\u1ebfn s\u1ebd tr\u1edf n\u00ean ch\u00ednh x\u00e1c v\u00e0 hi\u1ec7u qu\u1ea3 h\u01a1n. C\u00e1c ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc s\u00e2u nh\u01b0 m\u00e1y bi\u1ebfn \u00e1p v\u00e0 m\u1ea1ng th\u1ea7n kinh t\u00e1i ph\u00e1t (RNN) \u0111ang c\u00f3 nh\u1eefng \u0111\u00f3ng g\u00f3p \u0111\u00e1ng k\u1ec3 cho l\u0129nh v\u1ef1c n\u00e0y.<\/p>\n<p>H\u01a1n n\u1eefa, ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c \u0111a ng\u00f4n ng\u1eef v\u00e0 \u0111a ng\u00f4n ng\u1eef l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c nghi\u00ean c\u1ee9u \u0111ang ph\u00e1t tri\u1ec3n. \u0110i\u1ec1u n\u00e0y s\u1ebd cho ph\u00e9p c\u00e1c h\u1ec7 th\u1ed1ng hi\u1ec3u v\u00e0 d\u1ecbch c\u00e1c ng\u00f4n ng\u1eef v\u1edbi \u00edt t\u00e0i nguy\u00ean h\u01a1n m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/p>\n<h2>M\u00e1y ch\u1ee7 proxy v\u00e0 ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c<\/h2>\n<p>M\u1eb7c d\u00f9 m\u00e1y ch\u1ee7 proxy kh\u00f4ng t\u01b0\u01a1ng t\u00e1c tr\u1ef1c ti\u1ebfp v\u1edbi ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c, nh\u01b0ng ch\u00fang c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 h\u1ed7 tr\u1ee3 c\u00e1c t\u00e1c v\u1ee5 NLP s\u1eed d\u1ee5ng k\u1ef9 thu\u1eadt n\u00e0y. V\u00ed d\u1ee5: m\u1ed9t m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u web \u0111\u1ec3 \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh NLP, bao g\u1ed3m c\u1ea3 c\u00e1c d\u1eef li\u1ec7u \u0111\u1ec3 ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c. N\u00f3 c\u0169ng cung c\u1ea5p m\u1ed9t l\u1edbp \u1ea9n danh, do \u0111\u00f3 b\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0 c\u1ee7a c\u00e1c c\u00e1 nh\u00e2n ho\u1eb7c t\u1ed5 ch\u1ee9c th\u1ef1c hi\u1ec7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng n\u00e0y.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ol>\n<li><a href=\"https:\/\/nlp.stanford.edu\/pubs\/Dozat2017Dependency.pdf\" target=\"_new\" rel=\"noopener nofollow\">B\u00e0i vi\u1ebft ph\u00e2n t\u00edch ph\u1ee5 thu\u1ed9c ph\u1ed5 qu\u00e1t c\u1ee7a Stanford<\/a><\/li>\n<li><a href=\"https:\/\/spacy.io\/api\/dependencyparser\" target=\"_new\" rel=\"noopener nofollow\">T\u00e0i li\u1ec7u ph\u00e2n t\u00edch c\u00fa ph\u00e1p ph\u1ee5 thu\u1ed9c c\u1ee7a Spacy<\/a><\/li>\n<li><a href=\"https:\/\/www.sketchengine.eu\/user-guide\/user-manual\/corpora-by-languages\/dependency-grammar\/\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1edbi thi\u1ec7u v\u1ec1 ng\u1eef ph\u00e1p ph\u1ee5 thu\u1ed9c<\/a><\/li>\n<li><a href=\"https:\/\/www.researchgate.net\/publication\/227988873_Lucien_Tesniere&#039;s_&#039;Elements_de_syntaxe_structurale&#039;_Fifty_years_on_1959-2009\" target=\"_new\" rel=\"noopener nofollow\">Lucien Tesni\u00e8re v\u00e0 ng\u1eef ph\u00e1p ph\u1ee5 thu\u1ed9c<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468201,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476792","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Dependency Parsing: An Informative Guide<\/mark>","faq_items":[{"question":"What is Dependency Parsing?","answer":"<p>Dependency Parsing is a technique used in Natural Language Processing (NLP) to understand and represent the grammatical structure of a sentence. It forms the core of various applications in NLP, such as machine translation, information extraction, and question-answering systems.<\/p>"},{"question":"Who introduced the concept of Dependency Parsing?","answer":"<p>The concept of Dependency Parsing was introduced by Lucien Tesni\u00e8re in his work \"Elements of Structural Syntax,\" published in 1959. The idea originates from traditional grammatical theories, with its modern form developed by Tesni\u00e8re in the 20th century.<\/p>"},{"question":"What is the process of Dependency Parsing?","answer":"<p>Dependency Parsing involves several stages: Tokenization (dividing the text into individual words), Part-of-Speech (POS) Tagging (labeling each word with its part of speech), Dependency Relation Assignment (assigning a dependency relation between words based on the rules of dependency grammar), and Tree Construction (constructing a parse tree with words as nodes and dependency relations as edges).<\/p>"},{"question":"What are the key features of Dependency Parsing?","answer":"<p>Key features of Dependency Parsing include directionality (dependency relations are directional), binary relations (each dependency relation involves only two elements), a tree-like structure, and explicit labeling of dependency types (the relation between the head and its dependents is explicitly labeled with grammatical relation types).<\/p>"},{"question":"What are the different types of Dependency Parsing methods?","answer":"<p>There are primarily two types of Dependency Parsing methods: Graph-Based Models, which generate and score all possible parse trees for a sentence, and Transition-Based Models, which build parse trees incrementally, applying a sequence of actions to derive a parse tree.<\/p>"},{"question":"How is Dependency Parsing used?","answer":"<p>Dependency Parsing is used in several NLP applications like machine translation, where it helps in identifying grammatical relations in the source language, information extraction, where it aids in understanding the meaning of the text, and sentiment analysis, where it helps understand the sentiment of a sentence more accurately.<\/p>"},{"question":"How do Proxy Servers relate to Dependency Parsing?","answer":"<p>While proxy servers don't directly interact with Dependency Parsing, they can be used to facilitate NLP tasks that use this technique. For instance, a proxy server can be used to scrape web data for training NLP models, including those for Dependency Parsing, providing a layer of anonymity that protects the privacy of the individuals or organizations conducting these operations.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/476792","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\/476792\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468201"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=476792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}