Proceedings of the Second Workshop on Economics and Natural Language Processing最新文献

Complaint Analysis and Classification for Economic and Food Safety 经济与食品安全投诉分析与分类

Proceedings of the Second Workshop on Economics and Natural Language Processing Pub Date : 2019-11-01 DOI: 10.18653/v1/D19-5107

João Filgueiras, Luís Barbosa, Gil Rocha, Henrique Lopes Cardoso, Luís Paulo Reis, J. Machado, Ana Maria Oliveira

引用次数: 9

Forecasting Firm Material Events from 8-K Reports 从8-K报告预测公司重大事件

Proceedings of the Second Workshop on Economics and Natural Language Processing Pub Date : 2019-11-01 DOI: 10.18653/v1/D19-5104

Shuang (Sophie) Zhai, Zhu Zhang

引用次数: 8

Extracting Complex Relations from Banking Documents 从银行文件中提取复杂关系

Proceedings of the Second Workshop on Economics and Natural Language Processing Pub Date : 1900-01-01 DOI: 10.18653/v1/D19-5101

Berke Oral, Erdem Emekligil, S. Arslan, Gülşen Eryiğit

引用次数: 7

Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus 英语电子商务问答语料库对话行为分类的标注过程

Proceedings of the Second Workshop on Economics and Natural Language Processing Pub Date : 1900-01-01 DOI: 10.18653/v1/D19-5108

Jared Rivera, Jan Caleb Oliver Pensica, Jolene Valenzuela, Alfonso Secuya, C. Cheng

{"title":"Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus","authors":"Jared Rivera, Jan Caleb Oliver Pensica, Jolene Valenzuela, Alfonso Secuya, C. Cheng","doi":"10.18653/v1/D19-5108","DOIUrl":"https://doi.org/10.18653/v1/D19-5108","url":null,"abstract":"With conversational agents or chatbots making up in quantity of replies rather than quality, the need to identify user intent has become a main concern to improve these agents. Dialog act (DA) classification tackles this concern, and while existing studies have already addressed DA classification in general contexts, no training corpora in the context of e-commerce is available to the public. This research addressed the said insufficiency by building a text-based corpus of 7,265 posts from the question and answer section of products on Lazada Philippines. The SWBD-DAMSL tagset for DA classification was modified to 28 tags fitting the categories applicable to e-commerce conversations. The posts were annotated manually by three (3) human annotators and preprocessing techniques decreased the vocabulary size from 6,340 to 1,134. After analysis, the corpus was composed dominantly of single-label posts, with 34% of the corpus having multiple intent tags. The annotated corpus allowed insights toward the structure of posts created with single to multiple intents.","PeriodicalId":119881,"journal":{"name":"Proceedings of the Second Workshop on Economics and Natural Language Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129806346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1