Name
Title | ||
|---|---|---|
Learning Sentential Patterns of Various Rhetoric Moves for Assisted Academic Writing. |
Abstract | ||
|---|---|---|
We introduce a new method for extracting representative sentential patterns from a corpus for the purpose of assisting ESL learners in academic writing. In our approach, sentences are transformed into patterns for statistical analysis and filtering, and then are annotated with relevant rhetoric moves. The method involves annotating every sentence in a given corpus with part of speech and base phrase information, converting the sentence into formulaic patterns, and filtering salient patterns for key content words (verbs and nouns). We display the patterns in the interactive writing environment, WriteAhead, to prompt the user as they type away. |
Year | Venue | Field |
|---|---|---|
2015 | PACLIC | Computer science,Noun,Phrase,Academic writing,Part of speech,Rhetoric,Interactive writing,Natural language processing,Artificial intelligence,Linguistics,Sentence,Salient |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
5 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jim Chang | 1 | 1 | 3.33 |
| Hsiang-Ling Hsu | 2 | 0 | 0.68 |
| Joanne Boisson | 3 | 14 | 2.41 |
| Hao-Chun Peng | 4 | 0 | 0.68 |
| Yu-Hsuan Wu | 5 | 1 | 0.77 |
| Jason S. Chang | 6 | 345 | 62.64 |