Keith Trnka
ABSTRACT
Word prediction helps to increase communication rate when using Augmentative and Alternative Communication devices. Basic prediction systems offer topically inappropriate predictions for the context, thus we adapt the predictions to the topic of discourse. However, previous work has relied on texts that are grouped into topics by humans. In contrast, we avoid this restriction by treating each document as a topic. The results are comparable to human-labeled topics and also the method is applicable to unlabeled text.
- J. Li and G. Hirst. Semantic knowledge in word completion. In ASSETS, pages 121--128, 2005. Google Scholar
Digital Library
- M. Mahajan, D. Beeferman, and X. D. Huang. Improved topic-dependent language modeling using information retrieval techniques. In IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 541--544, 1999. Google ScholarDigital Library
- J. Matiasek and M. Baroni. Exploiting long distance collocational relations in predictive typing. In EACL-03 Workshop on Language Modeling for Text Entry, pages 1--8, 2003. Google ScholarDigital Library
- K. Trnka and K. F. McCoy. Corpus Studies in Word Prediction. In ASSETS, pages 195--202, 2007. Google ScholarDigital Library
- T. Wandmacher and J. Antoine. Methods to integrate a language model with semantic information for a word prediction component. In EMNLP-CoNLL, pages 506--513, 2007.Google Scholar
Index Terms
- Adapting word prediction to subject matter without topic-labeled data
Recommendations
Corpus studies in word prediction
Assets '07: Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibilityWord prediction can be used to enhance the communication rate of people with disabilities who use Augmentative and Alternative Communication (AAC) devices. We use statistical methods in a word prediction system, which are trained on a corpus, and then ...
Topic modeling in fringe word prediction for AAC
IUI '06: Proceedings of the 11th international conference on Intelligent user interfacesWord prediction can be used for enhancing the communication ability of persons with speech and language impairments. In this work, we explore two methods of adapting a language model to the topic of conversation, and apply these methods to the ...
Incorporating appraisal expression patterns into topic modeling for aspect and sentiment word identification
With the considerable growth of user-generated content, online reviews are becoming extremely valuable sources for mining customers' opinions on products and services. However, most of the traditional opinion mining methods are coarse-grained and cannot ...
Comments