Tailoring object descriptions to a user's level of expertise
Computational Linguistics - Special issue on user modeling
Getting the message across in RST-based text generation
Current research in natural language generation
Dynamic hypertext catalogues: helping users to help themselves
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Building natural language generation systems
Building natural language generation systems
Squibs and discussions: human variation and lexical choice
Computational Linguistics - Summarization
Lessons from a failure: generating tailored smoking cessation letters
Artificial Intelligence
Computational Linguistics
A fast and portable realizer for text generation systems
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Learning features that predict cue usage
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Tailoring lexical choice to the user's vocabulary in multimedia explanation generation
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Investigating cue selection and placement in tutorial discourse
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Planning texts by constraint satisfaction
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Producing more readable extracts by revising them
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Building a discourse-tagged corpus in the framework of Rhetorical Structure Theory
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Text simplification for reading assistance: a project note
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Acquiring correct knowledge for natural language generation
Journal of Artificial Intelligence Research
Towards Brazilian Portuguese automatic text simplification systems
Proceedings of the eighth ACM symposium on Document engineering
Proceedings of the 26th annual ACM international conference on Design of communication
Using tactical NLG to induce affective states: empirical investigations
INLG '08 Proceedings of the Fifth International Natural Language Generation Conference
Automatic summarization for text simplification: evaluating text understanding by poor readers
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Reformulating discourse connectives for non-expert readers
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Computer assisted writing system
Expert Systems with Applications: An International Journal
Complex lexico-syntactic reformulation of sentences using typed dependency representations
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
Estimating dyslexia in the web
Proceedings of the International Cross-Disciplinary Conference on Web Accessibility
Discrete vs. continuous rating scales for language evaluation in NLP
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Hi-index | 0.00 |
We describe SKILLSUM, a Natural Language Generation (NLG) system that generates a personalised feedback report for someone who has just completed a screening assessment of their basic literacy and numeracy skills. Because many SKILLSUM users have limited literacy, the generated reports must be easily comprehended by people with limited reading skills; this is the most novel aspect of SKILLSUM, and the focus of this paper. We used two approaches to maximise readability. First, for determining content and structure (document planning), we did not explicitly model readability, but rather followed a pragmatic approach of repeatedly revising content and structure following pilot experiments and interviews with domain experts. Second, for choosing linguistic expressions (microplanning), we attempted to formulate explicitly the choices that enhanced readability, using a constraints approach and preference rules; our constraints were based on corpus analysis and our preference rules were based on psycholinguistic findings. Evaluation of the SKILLSUM system was twofold: it compared the usefulness of NLG technology to that of canned text output, and it assessed the effectiveness of the readability model. Results showed that NLG was more effective than canned text at enhancing users' knowledge of their skills, and also suggested that the empirical revise based on experiments and interviews approach made a substantial contribution to readability as well as our explicit psycholinguistically inspired models of readability choices.