短文本表示建模及應(yīng)用

第1 章 緒論···················································································· 1
1.1 研究背景及意義 ······································································· 1
1.2 基本定義及問題描述 ································································· 2
1.3 研究問題圖解 ·········································································· 6
1.4 本書內(nèi)容組織結(jié)構(gòu) ···································································· 7
第2 章 理論與技術(shù)基礎(chǔ) ····································································· 9
2.1 分布假說 ················································································ 9
2.2 向量空間模型 ········································································ 10
2.3 詞頻 − 逆文檔頻率 ·································································· 10
2.4 鏈接分析 ··············································································· 11
2.5 馬爾可夫隨機場 ····································································· 15
2.6 參數(shù)分布估計 ········································································ 17
2.7 詞語向量化 ··········································································· 20
2.8 語言模型 ·············································································· 24
2.9 數(shù)據(jù)平滑算法 ········································································ 26
2.10 模型求解算法 ······································································ 28
2.11 向量語義相似度計算 ······························································ 32
2.12 查詢擴展 ············································································· 34
第3 章 面向短文本表示建模的知識庫資源 ··········································· 37
3.1 引言 ···················································································· 37
3.2 百科類知識庫資源 ·································································· 37
3.3 詞匯語義知識庫資源 ······························································· 41
3.4 知識庫資源對比分析 ······························································· 46
第4 章 顯式語義建模 ······································································ 48
4.1 引言 ···················································································· 48
4.2 顯式語義分析模型 ·································································· 48
4.3 概念化模型 ··········································································· 49
4.4 顯式語義建?？偨Y(jié)分析 ···························································· 51
第5 章 半顯式語義建模 ··································································· 52
5.1 引言 ···················································································· 52
5.2 概率化潛在語義分析模型 ························································· 52
5.3 潛在狄利克雷分布模型 ···························································· 53
5.4 層次化狄利克雷過程模型 ························································· 54
5.5 半顯式語義建?？偨Y(jié)分析 ························································· 58
第6 章 隱式語義建模 ······································································ 59
6.1 引言 ···················································································· 59
6.2 潛在語義分析模型 ·································································· 59
6.3 神經(jīng)網(wǎng)絡(luò)語言模型 ·································································· 61
6.4 CBOW 模型和Skip-Gram 模型 ··················································· 65
6.5 隱式語義建?？偨Y(jié)分析 ···························································· 67
第7 章 短文本概念化表示建模 ·························································· 68
7.1 引言 ···················································································· 68
7.2 問題描述 ·············································································· 68
7.3 短文本概念化方法 ·································································· 69
7.4 短文本概念化方法總結(jié)分析 ······················································ 95
7.5 本章小結(jié) ············································································· 105
第8 章 短文本向量化表示建模 ························································· 107
第9 章 概念化和向量化在短文本檢索問題中的應(yīng)用 ······························ 149
第10 章 總結(jié)與展望 ······································································ 200
參考文獻 ······················································································· 204