BUPTTeam Participation in NTCIR-12 Short Text Conversation Task
系統架構爲: 1.1預處理 首先對多有的對話對進行文本處理,如繁體轉換爲簡體,過濾特殊字符,英文字符,數字處理等,並對處理好的文本進行分詞處理. 1.2建立索引 使用Elasticsearch方法 1.3生成候選query 由Elasticsearch方法得到top10個候選的query,再有得到的query通過Elasticsearch算法得到對應的10個response, Elasticsea
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相關文章
- 1. short text conversation: retrieval
- 2. short text conversation: neural network
- 3. An Information Retrieval Approach to Short Text Conversation
- 4. A Dataset for Research on Short-Text Conversation
- 5. [dialog system] 閱讀筆記 - 2015__Neural Responding Machine for Short-Text Conversation
- 6. short text model
- 7. 論文閱讀：STC data set for single-turn short text conversation——Wang 2013 Noah's Ark Lab
- 8. English conversation example in interview
- 9. Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
- 10. SemEval2019Task3_ERC | (6) Hybrid Features for Emotion Recognition in Textual Conversation