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课程目录3 m! x1 p6 X }: j8 J8 A1 k' W
NLP01.pdf
( l3 G* p* N- \' f: nNLP0视频部分
% M9 n9 _/ J+ E+ c( |3 R: U/ B. m统计自然语言处理基础.pdf
, e- j7 R7 G6 D9 \6 |$ M形式语言与自动机理论.pdf
6 T6 z' ^/ h2 a& K7 d自然语言处理综论.pdf; N2 r' p+ M# g; ~) \: P
宗成庆统计自然语言处理 .pdf0 ?; b# `% G- p; J/ A
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Error-tolerant Finite State Recognition.pdf
% Y! {! M1 @: w& X- JNLP02.pdf
( C5 ^7 l7 j/ x6 l* i L/ y1 NNLP02视频部分- d( h) ~3 b: X9 y. Q& o
Tagging with Finite-State Transducers.pdf! Y6 H& b) L1 L" @
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icslp2002-srilm.pdf
1 _# T: B* |( F3 ]/ e( m: @NLP03.pdf
+ l9 }/ T7 G4 s# |NLP03视频部分8 Q" H, F+ |! j9 o
/ t0 ]7 D; t/ ^" gcrf-tutorial.pdf
% v% b5 L5 a! {# |& ?nips01-discriminativegenerative.pdf
8 L! b; }6 e& P. G" INLP04.pdf4 m4 H4 R6 N3 A3 w! S
NLP04视频部分
4 a; O) R2 T/ e% M0 }概率论与数理统计 第四版.pdf
3 O# C" d. z7 h0 S! B概率图模型原理与技术.pdf( k1 v5 j1 u! S1 B8 P0 ^2 x
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EM算法详细例子及推导.pdf
7 Y* J* t* B" X' d, P6 ghhmm.pdf
' ?; O! H8 i9 H; {% Nhtk.rar' {$ X9 d4 y2 c" b
HTK.zip) J9 }( D! `# L7 Y% b
NLP05.pdf+ e8 y0 w: o N+ }! U$ t
NLP05视频部分, R; W( b) o' @& M+ F
The-EM-algorithm.pdf
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Conditional Random Fields An Introduction.pdf
8 l" K) B. J. u5 Lcrf.pdf
. g+ ?' T0 V+ W( u1 lmaxent.pdf
2 \8 k$ q7 N3 C/ [8 m! r1 Imaxent_adwait97.pdf% U$ k: U+ e1 m7 l
Maximum Entropy Markov Models for Information Extraction and Segmentation.pdf
2 Y$ B: v3 ]. c2 C) q. `4 CNLP06.pdf7 x! A5 B* t3 w
NLP06视频部分& @# `9 `) I) L* k9 Q
条件随机场综述.pdf' ?7 s" m6 ^, B! @' `4 l* P) D
统计学习方法.pdf" x$ w: }( e; O( R( c4 e
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ActivePerl-5.22.1.2201-MSWin32-x86-64int-299574.msi
2 o/ k2 R2 \- i7 A" H/ Xconlleval.pl
1 ^& `, p7 \4 h8 t' m& p* `CRF++-0.58.zip
' C1 O# M% U. @CRF++工具包使用介绍.ppt
& d3 {! P8 F) T: x' F5 JCRF++使用指南.docx
' I/ n0 N) P- b. d' @' `& yNLP07.pdf. v0 Y! @5 G. q; _
NLP07视频部分4 _+ G6 b2 q1 n# Q, p; a( J
基于条件随机场的中文人名性别识别研究.doc
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A Character-Based Joint Model for Chinese Word Segmentation.pdf$ E) [( M3 q3 r4 F
A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model.pdf
! l$ c5 u7 }8 N, z: P) O6 xChinese Segmentation with aWord-Based Perceptron Algorithm.pdf' h( v0 O( y& P# K, ^3 i6 k
Discriminative Training Methods for Hidden Markov Models Theory and Experiments with Perceptron Algorithms.pdf
7 p+ o2 I1 _; S D5 |3 ~Integrating Generative and Discriminative Character-Based Models for Chinese Word Segmentation.pdf
( h! ^4 f% x& pNLP08.pdf
* H9 ]; B+ ?! b! }9 @NLP08视频部分! n) t+ i7 D9 @. c( d7 [/ Q' k' R
Syntactic Processing Using the GeneralizedPerceptron and Beam Search.pdf2 A$ i6 U% a! V0 O) k
Which is More Suitable for Chinese Word Segmentation the Generative Model or the Discriminative One.pdf
: N, E5 c5 g/ y; w+ S2 M8 M对自动分词的反思.pdf2 T) ~# t; }3 w7 ~2 ^
基于N-最短路径方法的中文词语粗分模型.pdf" d ^6 h/ H: I G% q% D
由字构词——中文分词新方法.pdf
G& h7 c$ _3 p$ C! ]中文分词十年回顾.pdf0 Q& p$ B+ b- N9 v; ^" i" j- X
中文文本自动分词和标注_刘开瑛.pdf5 m8 [* J/ ]& S V6 k
: v# W. e8 V4 Y! xNLP09.pdf b/ @: u5 h5 A: k7 W. r$ ]' D
NLP09视频部分/ o- f3 N. u9 M* M/ r# V
汉语问答系统关键技术研究_吴友政.pdf
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4 J5 y! T3 P% i9 b! c1 V% o& v' I7 F语料库.mp4
0 P. d1 a* f. q2 u+ p语料库建设.pdf- {2 F5 `# ?4 L% f. q
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LDA及Gibbs-Sampling-yangliuy.pdf+ B0 U' ^* [, C- d
LDA数学八卦.pdf
( _1 ~0 U! X O) lNLP10.pdf$ j/ \; c) F7 o% | u& D! P& c7 v. c
NLP10视频部分
# h) D9 ^: C, \! aParameter estimation for text analysis.pdf
6 ]+ r6 ?- K M; U1 r3 U) _PLSA及EM算法-yangliuy.pdf) [$ V s! D' _+ _% I
Unsupervised Learning by Probabilistic Latent Semantic Analysis.pdf# z8 M: Z+ l1 t- o/ J: [' `
一种自适应词性标注方法.pdf
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A Sentimental Education Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts.pdf
1 B" G0 f( k2 s& t9 o! mJoint Sentiment Topic Model for Sentiment Analysis.pdf4 W7 ?. ~: \' z1 k- h* k3 {
NLP11.pdf
x: u: s- F/ ~# xNLP11视频部分
# L* O$ J1 j4 m/ K3 @& t7 }pcfgs.pdf
5 j; L! [( J+ r& @- ]7 k$ X$ U' [Thumbs up Sentiment Classification using Machine Learning Techniques.pdf
# @6 N+ q$ ~9 G) NUsing_appraisal_groups_for_sentiment_analysis.pdf9 b0 P! M! f* P3 C2 B& M" Z% ~
第11课作业素材.zip- T- [$ S; s& v( e4 T9 _
, I4 I$ ]: y% A+ hA Hybrid Approach to Chinese Base Noun Phrase Chunking.pdf
4 w2 L7 D9 Y2 V) I) {0 `Catching the Drift Probabilistic Content Models.pdf1 M6 f3 P- o5 U- b/ j/ p0 }) @
Centroid-based summarization of multiple documents.pdf& H7 L: P& @9 S6 r0 S0 Q \% X# b
Coreference Resolution Current Trends and Future Directions.pdf7 s# M$ O, E* k
Fast Methods for Kernel-based Text Analysis.pdf5 S; n6 S! t5 Z- G& M0 W7 Y
First-Order Probabilistic Models for Coreference Resolution.pdf8 o6 m- o T" l7 J* P
LATENT DIRICHLET LEARNING FOR DOCUMENT SUMMARIZATION.pdf4 Q( c. G" M; V8 g
Layer-Based Dependency Parsing.pdf
# I. ^2 F- ]& j1 x" QNLP12.pdf" _% ^! p9 `: O# T8 i1 F
NLP12视频部分
* x3 _% S1 `% q( l3 Q. ?/ QNon-projective Dependency Parsing using Spanning Tree Algorithms.pdf
* a, m$ {& ^9 ^: G2 C3 M6 uOnline Large-Margin Training of Dependency Parsers.pdf
* V4 Y3 ?* B6 n7 P2 d7 B7 aSentence Fusion for Multidocument News Summarization.pdf3 J. I9 a, Y6 ~( N( n+ h% h* y
Shallow Parsing with Conditional Random Fields.pdf
: Y, H" S# V0 U( _; k, ^Use of Support Vector Learning for Chunk Identification.pdf) f+ A8 J' H r! F, t% q
基于潜在语义分析的单文本自动摘要方法研究.pdf% y5 g4 _: a4 I1 t1 [3 w
基于潜在语义索引的文本摘要方法.PDF5 R% M) Q* `' I7 F- U( P
文档摘要作业素材.zip
; i; w: Q7 o. S- C" O指代消解综述.pdf w' p) W! r% s7 {' R: }
/ U0 B, h, B9 j7 \4 ]3 ZA STATISTICAL APPROACH TO MACHINE TRANSLATION.pdf" [6 h+ k3 ]2 e
A Statistical MT Tutorial Workbook.pdf
# W* D6 L1 M" N1 MA Survey on Question and Answering Systems.pdf
) s; H. W, t7 ?9 W& L' ZBuilding Watson.pdf# |6 }: c% _+ `
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation.pdf K( j9 |8 |% b. e; b$ V0 T: Q# K! @
Erratum to A Statistical Approach to Machine Translation.pdf
, d7 ^& `3 P0 s. M7 K( ?7 U) w. yHMM-Based Word Alignment in Statistical Translation.pdf R B' K" s) G, e/ F: G3 v, q
NLP13.pdf2 c1 a) J7 Z6 J& m! z
NLP13a.mp4
8 ?4 N) W% u4 y8 O) ~4 GNLP13b.mp4
- J m @$ j- D0 u0 ~NLP13c.mp4
8 G- c' z7 l6 j! ANLP13d.mp4
, ]* O- n. \3 W* z! Z2 ^NLP13e.mkv' y" @5 O8 y' l! ?
NLP13f.mp4
# T( e- @5 Y) J4 \) {" ~/ @ rNLP13g.mp4
* `2 v, ^$ R E9 u! TNLP13h.mp45 R# c# _1 u8 H8 Q8 v
Statistical Machine Translation -Koehn.pdf
7 Z+ `. ]- d6 `. AThe Mathematics of Statistical Machine Translation Parameter Estimation.pdf
8 }0 j! f6 J; W; A, |1 m3 n. p% H谷歌翻译.pdf" A4 h* P/ b1 j+ [& T
基于FAQ的OTC问答系统的设计与实现.pdf! {7 }3 q! F% i, H0 s7 c0 O, i: U
刘群-机器翻译原理与方法讲义(03)基于词的统计机器翻译方法.pdf" t6 U( F6 J+ q$ g# d9 y
微信聊天机器配置流程.pdf
- {" ] O3 h8 v' F8 b# a' f9 N. q机器学习视频下载地址：) a; Y6 [7 h. i& X# n D3 V5 @& _
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发表于 2022-6-10 05:48:01
