paper-with-me

홈 › Papers

A Study of Suggestions in Opinionated Texts and their Automatic Detection

2016-08-01 · SEMEVAL 2016 8 · Sapna Negi, Kartik Asooja, Shubham Mehrotra, Paul Buitelaar
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Tasks

Opinion MiningSentence ClassificationSentiment Analysis

Similar Papers 제목 키워드 기반

Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains

2019-06-06 · ACL 2019 7 · Claudia Schulz, Christian M. Meyer, Jan Kiesewetter, Michael Sailer 외

Many complex discourse-level tasks can aid domain experts in their work but require costly expert annotations for data creation. To speed up and ease annotations, we investigate the viability of automatically generated a…

DiagnosticGeneral Classification

Aspect Oriented Suggestion Extraction from Online Reviews

2021-12-15 · 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 2021 12 · Tharushi Jayasekara, Ruvan Weerasinghe, Viraj Welgama

In the world of business, products need to evolve adjusting to the needs of the customer to ensure customer satisfaction. The abundance of opinionated text on the internet contains suggestions made by users that can be u…

Aspect ExtractionLanguage ModellingSuggestion mining

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

2018-06-10 · Nan Wang, Hongning Wang, Yiling Jia, Yue Yin

Explaining automatically generated recommendations allows users to make more informed and accurate decisions about which results to utilize, and therefore improves their satisfaction. In this work, we develop a multi-tas…

Explainable RecommendationMulti-Task Learning

News Editorials: Towards Summarizing Long Argumentative Texts

2020-12-01 · COLING 2020 8 · Shahbaz Syed, Roxanne El Baff, Johannes Kiesel, Khalid Al Khatib 외

The automatic summarization of argumentative texts has hardly been explored. This paper takes a further step in this direction, targeting news editorials, i.e., opinionated articles with a well-defined argumentation stru…

ArticlesExtractive Summarization

Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)

2017-07-01 · ACL 2017 7 · Tomer Cagan, Stefan L. Frank, Reut Tsarfaty

Opinionated Natural Language Generation (ONLG) is a new, challenging, task that aims to automatically generate human-like, subjective, responses to opinionated articles online. We present a data-driven architecture for O…

ArticlesLanguage ModelingLanguage ModellingText Generation+1