Smart Word Suggestions for Writing Assistance
Enhancing word usage is a desired feature for writing assistance. To further
advance research in this area, this paper introduces "Smart Word Suggestions"
(SWS) task and benchmark. Unlike other works, SWS emphasizes end-to-end
evaluation and presents a more realistic writing assistance scenario. This task
involves identifying words or phrases that require improvement and providing
substitution suggestions. The benchmark includes human-labeled data for
testing, a large distantly supervised dataset for training, and the framework
for evaluation. The test data includes 1,000 sentences written by English
learners, accompanied by over 16,000 substitution suggestions annotated by 10
native speakers. The training dataset comprises over 3.7 million sentences and
12.7 million suggestions generated through rules. Our experiments with seven
baselines demonstrate that SWS is a challenging task. Based on experimental
analysis, we suggest potential directions for future research on SWS. The
dataset and related codes is available at
https://github.com/microsoft/SmartWordSuggestions.
646596f53732b3510ecc2b81
Chenshuo Wang
646596f53732b3510ecc2b82
Shaoguang Mao
646596f53732b3510ecc2b83
Tao Ge
claimed_verified
2024-02-05T10:51:12.197Z
64ab5db78a1a9187c215f45a
/avatars/17add4cd02e183f9b9d4feb7b6c27c21.svg
Tao Ge
user
sggetao
646596f53732b3510ecc2b84
Wenshan Wu
646596f53732b3510ecc2b85
Xun Wang
646596f53732b3510ecc2b86
Yan Xia
646596f53732b3510ecc2b87
Jonathan Tien
646596f53732b3510ecc2b88
Dongyan Zhao
admin_assigned
2023-06-02T15:03:37.320Z
629ee8171fec321a2d3c458d
/avatars/a8ae78b193ba2a43c6e36e185e0ef2b9.svg
Zhaodong Yan
user
Anhforth
Smart Word Suggestions for Writing Assistance
Enhancing word usage is a desired feature for writing assistance. To further
advance research in this area, this paper introduces "Smart Word Suggestions"
(SWS) task and benchmark. Unlike other works, SWS emphasizes end-to-end
evaluation and presents a more realistic writing assistance scenario. This task
involves identifying words or phrases that require improvement and providing
substitution suggestions. The benchmark includes human-labeled data for
testing, a large distantly supervised dataset for training, and the framework
for evaluation. The test data includes 1,000 sentences written by English
learners, accompanied by over 16,000 substitution suggestions annotated by 10
native speakers. The training dataset comprises over 3.7 million sentences and
12.7 million suggestions generated through rules. Our experiments with seven
baselines demonstrate that SWS is a challenging task. Based on experimental
analysis, we suggest potential directions for future research on SWS. The
dataset and related codes is available at
https://github.com/microsoft/SmartWordSuggestions.
The paper introduces the Smart Word Suggestions (SWS) task and benchmark, focusing on end-to-end evaluation and realistic writing assistance scenarios through human-labeled and rules-generated datasets.
Smart Word Suggestions SWS end-to-end evaluation human-labeled data distantly supervised dataset substitution suggestions