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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳信希(Hsin-Hsi Chen) | |
| dc.contributor.author | Yi-Ting Chen | en |
| dc.contributor.author | 陳怡婷 | zh_TW |
| dc.date.accessioned | 2021-06-17T08:40:06Z | - |
| dc.date.available | 2021-08-13 | |
| dc.date.copyright | 2019-08-13 | |
| dc.date.issued | 2019 | |
| dc.date.submitted | 2019-08-07 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74514 | - |
| dc.description.abstract | 在對話系統中，偵測使用者的情緒並做出適當的回覆，能夠提升使用者的滿意度。除了觀察使用者的情緒外，我們觀察到人際關係也是影響對話內容的一個重要因素。由於缺乏擁有人際關係標記的資料庫，為了做相關的實驗，我們建立一個同時擁有說話人情緒以及與聽眾之間人際關係標記的中文對話語料庫，該語料庫擁有4,142 組對話，其中包含25,548句台詞。透過該語料庫，我們進行情緒及人際關係的分類實驗，並從中觀察情緒與人際關係之間的關聯性。 | zh_TW |
| dc.description.abstract | In the dialogue system, detecting user emotions and generating appropriate responses can improve user satisfaction. In addition to detecting the user's emotions, we observe that interpersonal relationships are also an important factor influencing the content of the conversation. Due to the lack of a corpus with interpersonal relationship labels, in order to do the related experiments, we establish a Chinese dialogue corpus with both emotions and interpersonal relationship labels between the speaker and the targeted listener. The corpus contains 25,548 utterances from 4,142 dialogues. Through this corpus, we conduct classification experiments of emotions and interpersonal relationships, and observe the correlation between emotions and interpersonal relationships. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T08:40:06Z (GMT). No. of bitstreams: 1 ntu-108-R06922073-1.pdf: 1776656 bytes, checksum: a0f73c19847beb85bf2f75db5f26b7c1 (MD5) Previous issue date: 2019 | en |
| dc.description.tableofcontents | 致謝 i
中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vi LIST OF TABLES vii Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 2 1.3 Goals 2 1.4 Thesis Organization 3 Chapter 2 Related Work 4 2.1 Dialogue Dataset 4 2.2 Sentiment Analysis 5 2.3 Multi-task Learning 6 Chapter 3 Multi-Party Dialogue Dataset (MPDD) 8 3.1 Data Collection 8 3.2 Data Annotation 9 3.2.1 Noisy Filtering 10 3.2.2 Emotion Labeling 10 3.2.3 Targeted Listener Labeling 10 3.2.4 Relation Labeling 10 3.3 Dataset Statistics 11 Chapter 4 Methodology 15 4.1 Single Task Classifier 15 4.1.1 Responded Utterance Selector 15 4.1.2 Word Embedding Layer 16 4.1.3 Contextualized Embedding Encoder 17 4.1.4 Feature Connector 20 4.1.5 Output Layer 20 4.2 Multi-task Classifier 20 4.2.1 Att-BLSTM-Joint 21 4.2.2 CNN-Joint 21 4.2.3 BERT-Joint 21 Chapter 5 Experiments 23 5.1 Experiment Setup 23 5.2 Results 23 5.2.1 Single Task Classification 23 5.2.2 Multi-task Classification 26 Chapter 6 Conclusion 30 References 31 | |
| dc.language.iso | en | |
| dc.subject | 多目標學習 | zh_TW |
| dc.subject | 人際關係分類 | zh_TW |
| dc.subject | 情緒分析 | zh_TW |
| dc.subject | 對話語料庫 | zh_TW |
| dc.subject | Dialogue dataset | en |
| dc.subject | Sentiment analysis | en |
| dc.subject | Interpersonal relationship classification | en |
| dc.subject | multi-task learning | en |
| dc.title | 多人對話中情緒與人際關係之分析 | zh_TW |
| dc.title | Analysis of Emotions and Interpersonal Relationships in Multi-Party Dialogue Dataset | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 107-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 鄭卜壬(Pu-Jen Cheng),蔡宗翰(Tsung-Han Tsai),陳冠宇(Kuan-Yu Chen) | |
| dc.subject.keyword | 對話語料庫,情緒分析,人際關係分類,多目標學習, | zh_TW |
| dc.subject.keyword | Dialogue dataset,Sentiment analysis,Interpersonal relationship classification,multi-task learning, | en |
| dc.relation.page | 33 | |
| dc.identifier.doi | 10.6342/NTU201902551 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2019-08-08 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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