| { |
| "paper_id": "2022", |
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| "date_generated": "2023-01-19T10:33:11.417047Z" |
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| "abstract": [], |
| "body_text": [ |
| { |
| "text": "It is our great pleasure to welcome you to the Fifth Workshop on e-Commerce and NLP (ECNLP).", |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "This workshop focuses on intersection of Natural Language Processing (NLP) and e-Commerce. NLP and information retrieval (IR) have been powering e-Commerce applications since the early days of the fields. Today, NLP and IR already play a significant role in e-Commerce tasks, including product search, recommender systems, product question answering, machine translation, sentiment analysis, product description and review summarization, and customer review processing. With the exploding popularity of chatbots and shopping assistants --both text-and voice-based --NLP, IR, question answering, and dialogue systems research is poised to transform e-Commerce once again.", |
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| "section": "Introduction", |
| "sec_num": null |
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| "text": "The ECNLP workshop series was designed to provide a venue for the dissemination of late-breaking research results and ideas related to e-commerce and online shopping, as well as a forum where new and unfinished ideas could be discussed. After four successful editions since 2019, we are happy to host ECNLP 5 at ACL 2022 and once again bring together researchers from both academia and industry.", |
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| "section": "Introduction", |
| "sec_num": null |
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| "text": "We have received a larger number of submissions than we could accept for presentation. ECNLP 5 received 52 submissions of long and short research papers. In total, ECNLP 5 featured 29 accepted papers (56% acceptance rate). The selection process was competitive and we believe it resulted in a balanced and varied program that is appealing to audiences from the various sub-areas of e-Commerce.", |
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| "section": "Introduction", |
| "sec_num": null |
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| "text": "We would like to thank everyone who submitted a paper to the workshop. We would also like to express our gratitude to the members of the Program Committee for their timely reviews, and for supporting the tight schedule by providing reviews at short notice.", |
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| "section": "Introduction", |
| "sec_num": null |
| }, |
| { |
| "text": "We hope that you enjoy the workshop! ", |
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| "section": "Introduction", |
| "sec_num": null |
| } |
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| "TABREF1": { |
| "num": null, |
| "content": "<table/>", |
| "text": "DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce Ipsita Mohanty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Interactive Latent Knowledge Selection for E-Commerce Product Copywriting Generation Zeming Wang, Yanyan Zou, Yuejian Fang, Hongshen Chen, Mian Ma, Zhuoye Ding and Bo Long", |
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