Companion of the the Web Conference 2018 on the Web Conference 2018 - WWW '18 2018
DOI: 10.1145/3184558.3186345
|View full text |Cite
|
Sign up to set email alerts
|

PersuAIDE ! An Adaptive Persuasive Text Generation System for Fashion Domain

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0

Year Published

2019
2019
2022
2022

Publication Types

Select...
4
2
2

Relationship

0
8

Authors

Journals

citations
Cited by 12 publications
(12 citation statements)
references
References 8 publications
0
8
0
Order By: Relevance
“…Many creative and non-creative systems with pragmatic goals, instead, do not focus their evaluation on the effects of the produced output, but just on its intrinsic properties [e.g. measuring BLEU scores (Munigala et al, 2018), or collecting ratings for the system without comparing them to ratings of human producers (Clark et al, 2018)]. With this work we argue that these measures are necessary but not sufficient for a complete evaluation of the systems.…”
Section: Introductionmentioning
confidence: 95%
“…Many creative and non-creative systems with pragmatic goals, instead, do not focus their evaluation on the effects of the produced output, but just on its intrinsic properties [e.g. measuring BLEU scores (Munigala et al, 2018), or collecting ratings for the system without comparing them to ratings of human producers (Clark et al, 2018)]. With this work we argue that these measures are necessary but not sufficient for a complete evaluation of the systems.…”
Section: Introductionmentioning
confidence: 95%
“…Pavlick and Tetreault [32] developed a statistical model for predicting formality at a sentence level, in the context of online debate forums and undertook a large-scale annotation task (6574 sentences with 301 annotators). Munigala et al [29] develop an unsupervised, text-generation (at sentence-level) pipeline for generating persuasive descriptions (usually one sentence long) from a given set of keywords, in a fashion domain. Summary.…”
Section: Improving Brand Consistency As a Sentence Ranking Taskmentioning
confidence: 99%
“…Open Problems and Future Directions: This part will focus on various aspects of natural language generation which are far from being realized. The presenters will get highly creative and also borrow connections from some recent trends (Jain et al, 2017;Munigala et al, 2018;Hu et al, 2017;Jain et al, 2019) in NLG literature to formulate future directions for automatic text generation. The goal of this section is not only to motivate and convey open research problems, but mainly to start a discussion paving the way for newer problems in the area.…”
Section: Tutorial Overviewmentioning
confidence: 99%