第五章 結論與後續研究
第二節 後續研究
語料庫中的笑話品質以及語料庫中的好笑程度與使用者的認知的一致性。
綜論以上,本研究進行了幽默語料庫的應用,實作了一個基於檢索的中文幽 默對話系統並以系統研究法循環進行評估及優化。設置情境進行實驗,實證了好 笑程度越高的笑話確實越容易讓使用者覺得好笑;而使用者覺得好笑的笑話,確 實越容易達到緩和僵硬氣氛的破冰效果以及使用者已習慣並期望對話系統擁有 圖像化及自動推薦的功能。增加對話系統的易用性是提升此類服務成效的重要工 作。最後對未來研究提出後續建議,希望可作為未來中文幽默對話系統的基石,
期待後續研究者能透過更精確的實驗及技術進一步的探討。
參考文獻
Computational Humour in a Chat-Bot System. Paper presented at the International Conference on Complex, Intelligent and Software Intensive Systems.Araujo, T. (2018). Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in Human Behavior, 85, 183–189.
doi:10.1016/j.chb.2018.03.051.
Blinov, V., Mishchenko, K., Bolotova, V., & Braslavski, P. (2017). A Pinch of Humor for Short-Text Conversation: An Information Retrieval Approach. Paper presented at the Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th International Conference of the CLEF Association, CLEF 2017, Dublin, Ireland, September 11–14, 2017, Proceedings, Cham. https://doi.org/10.1007/978-3-319-65813-1_1
Yi-Ciao Gu, Yuen-Hsien Tseng, Wei-Lun Hsu, Wun-Syuan Wu and Hsueh-Chih Chen (2019). Development and Classification of a Chinese Humor Corpus. Paper presented at the 20th International Conference on Computational Linguistics and Intelligent Text Processing, La Rochelle, France.
icebreaker. (2019). Cambridge Advanced Learner's Dictionary. Retrieved from
https://dictionary.cambridge.org/zht/dictionary/english-chinese-traditional/icebreaker
Ji, Z., Lu, Z., & Li, H. (2014). An Information Retrieval Approach to Short Text Conversation. arXiv:1408.6988.
Le, Q. V., & Mikolov, T. (2014). Distributed representations of sentences and documents.
arXiv preprint arXiv:1405.4053.
126-142.
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
Newyear, D., & McNeal, M. (Producer). (2014). Extending Library Services with AI Conversational Agents. Retrieved from http://connect.ala.org/files/AI_Conversational_Agents.pptx
Nunamaker, J. F., Chen, M., & Purdin, T. D. M. (1990). Systems Development in Information Systems Research. Journal of Management Information Systems, 7(3), 89-106. doi:10.1080/07421222.1990.11517898
Potash, P., Romanov, A., & Rumshisky, A. (2017). SemEval-2017 Task 6: #HashtagWars:
Learning a Sense of Humor. Paper presented at the 11th International Workshop on Semantic Evaluations, Vancouver, Canada.
Provine, R. R. (2001). Laughter: A Scientific Investigation. London, UK: Penguin Books.
Radziwill, N. M., & Benton, M. C. (2017). Evaluating Quality of Chatbots and Intelligent Conversational Agents. Software Quality Professional, 19(3), 25. Retrieved from https://arxiv.org/abs/1704.04579
Sjobergh, J., & Araki, K. (2009). A Very Modular Humor Enabled Chat-Bot for Japanese.
Paper presented at the Conference of the Pacific Association for Computational Linguistics, Sapporo, Japan.
Strick, M., van Baaren, R. B., Holland, R. W., & van Knippenberg, A. (2011). Humor in advertisements enhances product liking by mere association.Psychology of Popular Media Culture, 1(S), 16–31.https://doi.org/10.1037/2160-4134.1.S.16
Sure, Y., & Studer, R. (2002). On-to-knowledge: Content-driven knowledge management tools through evolving ontologies (Methodology -- Final Version) (EU-IST Project IST-1999-10132). Institute AIFB, University of Karlsruhe. —(2004). A methodology for ontology-based knowledge management. In J. Davies, D. Fensel, & F. V.
Harmelen (Eds.), Towards the semantic web: Ontology-driven knowledge management (pp. 33-46). London: John Wiley & Sons.
Tseng, Y.-H., & Teahan, W. J. (2004, July 25 - 29). Verifying a Chinese Collection for Text Categorization. Paper presented at the 27th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '04, Sheffield, U.K.
Vasconcelos, M., Candello, H., Pinhanez, C., & Santos, T. d. (2017). Bottester: Testing Conversational Systems with Simulated Users. Paper presented at the Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems, Joinville, Brazil. Retrieved from https://dl.acm.org/citation.cfm?id=3160584
Wang, H., Zhang, Q., Ip, M., & Lau, J. T. F. (2018). Social Media–based Conversational Agents for Health Management and Interventions. Computer, 51(8), 26-33.
doi:10.1109/MC.2018.3191249. Retrieved from https://ieeexplore.ieee.org/document/8436412
Wen, T.-H., Gasic, M., Kim, D., Mrksic, N., Su, P.-H., Vandyke, D., & Young, S. (2015).
Stochastic Language Generation in Dialogue Using Recurrent Neural Networks with Convolutional Sentence Reranking. arXiv:1508.01755.
Wen, T.-H., Gasic, M., Mrksic, N., Su, P.-H., Vandyke, D., & Young, S. (2015).
Semantically Conditioned LSTM-based Natural Language Generation for Spoken
Yang, D., Lavie, A., Dyer, C., & Hovy, E. (2015). Humor Recognition and Humor Anchor Extraction. Paper presented at the Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal.
Zhang, R., & Liu, N. (2014). Recognizing Humor on Twitter. Paper presented at the 23rd ACM International Conference on Information and Knowledge Management, Shanghai, China.
附錄 1 笑話語料庫(節選)
<?xml version="1.0" encoding="utf-8"?>
<jokes>
<joke>
<ID>L0001</ID>
<Number>1</ Number >
<SourceTitle>要求加薪</SourceTitle>
<GivenTitle>要求加薪</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
員工:老闆,您必須幫我加薪,已經有三家公司在找我了!
老闆:哪三家?
員工:自來水公司,台電,天然氣公司 </TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<Length>52</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/6185.html</Identifier>
<HumorLevel>4</HumorLevel>
</joke>
<joke>
<ID>L0002</ID>
<Number>2</ Number >
<SourceTitle>查無此人</SourceTitle>
<GivenTitle>查無此人</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
某市政府辦公大樓落成,門口缺副對聯。
副市長揮毫
上聯:說實話辦實事一身正氣 下聯:不貪污不受賄兩袖清風!
各個局處首長看後齊聲喝采。
考慮到民主,副市長讓各個局處首長一起出個橫批,大家你看我,我看你都不開 口
正好一個賣菜的阿伯從此經過,順口而出:查無此人!
</TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>122</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/6181.html</Identifier>
<HumorLevel>3</HumorLevel>
</joke>
<joke>
<ID>L0003</ID>
<SourceTitle>遣散費</SourceTitle>
<GivenTitle>遣散費</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
中午老闆視察自己的建築工地時,發現有個人在角落玩手機。
老闆:你月薪多少?
那人答:二萬二。
老闆掏出錢包,數出二萬二再加遣散費共三萬元給他,並大聲吼道:拿著這個月 的薪水,馬上離開!
那人走後,餘怒未消的老闆問旁邊工人:他是哪個部門的?
工人小小聲回答:他……他是來送便當的~~~
老闆:我咧..…&娘…@…#
</TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>157</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/6137.html</Identifier>
<HumorLevel>4</HumorLevel>
</joke>
<joke>
<ID>L0004</ID>
<Number>4</ Number >
<SourceTitle>職業習慣</SourceTitle>
<GivenTitle>職業習慣</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
一天,一位法官的女友看見兩個蚊子,便叫法官打死。
只見法官只把那個肚子飽飽的蚊子打死了,卻對那隻肚子乾癟的蚊子遲遲不下 手。
女友問他為什麼不把那隻蚊子也打死?
</TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>90</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/6086.html</Identifier>
<HumorLevel>2</HumorLevel>
</joke>
<joke>
<ID>L0005</ID>
<Number>5</ Number >
<SourceTitle>美女吵架</SourceTitle>
<GivenTitle>美女吵架</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
辦公室中兩位女同事吵起來了。
經理忍無可忍:太不像話了!現在是什麼情況?
你們把原因給我說清楚!
兩人一聽,又爭先恐後各執一詞吵成一團。
經理大吼一聲:夠了!胖的先講!
頓時,世界安靜了。
</TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>94</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/6084.html</Identifier>
<HumorLevel>4</HumorLevel>
<joke>
<ID>L0006</ID>
<Number>6</ Number >
<SourceTitle>乞丐</SourceTitle>
<GivenTitle>乞丐</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
某條街有個乞丐,每天都在街旁向路人乞討。
某日乞丐身邊多了一個碗可是卻又沒人看著,
小明感到好奇,便上前問了那乞丐:「為什麼你放兩個碗?」
那乞丐笑笑道:「丫不知怎麼滴最近生意特別好,所以開了家分公司。」
</TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>其他笑話/不分類</GivenTopic>
<Length>99</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/6075.html</Identifier>
<HumorLevel>3</HumorLevel>
</joke>
<joke>
<ID>L0007</ID>
<Number>7</ Number >
<SourceTitle>專長:造謠</SourceTitle>
<GivenTitle>專長:造謠</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
一位求職者在「專長」一欄中填上「造謠」。 面試官不信任地說:「你造一次謠給我們看看。」
求職者走到門外,對其他等待面試的人說:「你們可以回去了,我已經得到了這份
工作,沒你們的事了。」
</TextContent>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>91</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/5589.html</Identifier>
<HumorLevel>4</HumorLevel>
</joke>
<joke>
<ID>L0008</ID>
<Number>8</ Number >
<SourceTitle>銀行怎麼賺錢</SourceTitle>
<GivenTitle>銀行怎麼賺錢</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
一位銀行經理去洗車,
洗車店老闆非常好奇地向他問到,你們銀行是怎麼賺錢的?
他立即回答,主要是靠授信類業務,中間業務和資產類業務三大板塊實現的。
老闆一臉疑惑,要求他通俗的解釋一下。
他想了想,說:就是高利貸,亂收費和拉皮條。老闆聽後豁然開朗。
</TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>120</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/5563.html</Identifier>
<HumorLevel>3</HumorLevel>
</joke>
<Number>9</ Number >
<SourceTitle>都退一步</SourceTitle>
<GivenTitle>都退一步</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
員工:老闆我要加薪,不然我就辭職。
老闆:有話好好說,你看我們倆都各退一步行不行?
員工:怎麼退?
老闆:我不給你加薪,你也別走。
</TextContent>
<PublicationDate>None</PublicationDate>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>64</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/5561.html</Identifier>
<HumorLevel>4</HumorLevel>
</joke>
<joke>
<ID>L00010</ID>
<Number>10</ Number >
<SourceTitle>不在人事</SourceTitle>
<GivenTitle>不在人事</GivenTitle>
<Sharer>None</Sharer>
<Creator>None</Creator>
<TextContent>
小王在10 樓人事部門工作,一個月前,被調到 9 樓行政部門去了….
今天,小王同學打電話到人事部門找他:「小王在麼?」
接電話同事說:「小王已不在人事了。」
小王同學:「啊啊!?,什麼時候的事啊,我怎麼不知道啊,還沒來得及送他
呢?」
「沒關係,你可以去下面找他啊。」
</TextContent>
<CollectingDate>2018-03-06 00:00:00</CollectingDate>
<SourceTopic>職場笑話</SourceTopic>
<GivenTopic>職場笑話</GivenTopic>
<Length>131</Length>
<Language>純中文</Language>
<SourceType>笑話多多</SourceType>
<Identifier>http://www.ak9k.com/5526.html</Identifier>
<HumorLevel>5</HumorLevel>
</joke>
</jokes>
附錄 2 笑話語料庫詞頻表(前 100)
23 一 490
47 隻 328
71 啦 231
95 一次 202
96 不要 201
97 小 201
98 能 199
99 長 199
100 下 194