Ex machina: Personal attacks seen at scale

E Wulczyn, N Thain, L Dixon - … of the 26th international conference on …, 2017 - dl.acm.org
The damage personal attacks cause to online discourse motivates many platforms to try to
curb the phenomenon. However, understanding the prevalence and impact of personal …

[PDF][PDF] Building a large annotated corpus of learner English: The NUS corpus of learner English

D Dahlmeier, HT Ng, SM Wu - … workshop on innovative use of NLP …, 2013 - aclanthology.org
We describe the NUS Corpus of Learner English (NUCLE), a large, fully annotated corpus of
learner English that is freely available for research purposes. The goal of the corpus is to …

[图书][B] Automated grammatical error detection for language learners

C Leacock, M Chodorow, M Gamon, J Tetreault - 2014 - books.google.com
It has been estimated that over a billion people are using or learning English as a second or
foreign language, and the numbers are growing not only for English but for other languages …

Fluency boost learning and inference for neural grammatical error correction

T Ge, F Wei, M Zhou - Proceedings of the 56th Annual Meeting of …, 2018 - aclanthology.org
Most of the neural sequence-to-sequence (seq2seq) models for grammatical error correction
(GEC) have two limitations:(1) a seq2seq model may not be well generalized with only …

A review of cyberbullying detection: An overview

S Nadali, MAA Murad, NM Sharef… - … on Intellient Systems …, 2013 - ieeexplore.ieee.org
With the growth of Web 2.0, online communication and social networks are emerging. This
alternation helps users to share their information and collaborate with each other easily. In …

Automatic identification of personal insults on social news sites

SO Sood, EF Churchill, J Antin - Journal of the American …, 2012 - Wiley Online Library
As online communities grow and the volume of user‐generated content increases, the need
for community management also rises. Community management has three main purposes …

Profanity use in online communities

S Sood, J Antin, E Churchill - Proceedings of the SIGCHI conference on …, 2012 - dl.acm.org
As user-generated Web content increases, the amount of inappropriate and/or objectionable
content also grows. Several scholarly communities are addressing how to detect and …

Reaching human-level performance in automatic grammatical error correction: An empirical study

T Ge, F Wei, M Zhou - arXiv preprint arXiv:1807.01270, 2018 - arxiv.org
Neural sequence-to-sequence (seq2seq) approaches have proven to be successful in
grammatical error correction (GEC). Based on the seq2seq framework, we propose a novel …

[PDF][PDF] Using crowdsourcing to improve profanity detection

SO Sood, J Antin, E Churchill - 2012 AAAI Spring Symposium Series, 2012 - cdn.aaai.org
Profanity detection is often thought to be an easy task. However, past work has shown that
current, list-based systems are performing poorly. They fail to adapt to evolving profane …

Do you ever get off track in a conversation? the conversational system's anatomy and evaluation metrics

S Yadav, A Kaushik - Knowledge, 2022 - mdpi.com
Conversational systems are now applicable to almost every business domain. Evaluation is
an important step in the creation of dialog systems so that they may be readily tested and …