A survey on automatic detection of hate speech in text
The scientific study of hate speech, from a computer science point of view, is recent. This
survey organizes and describes the current state of the field, providing a structured overview …
survey organizes and describes the current state of the field, providing a structured overview …
Aspect-based sentiment analysis of movie reviews on discussion boards
TT Thet, JC Na, CSG Khoo - Journal of information science, 2010 - journals.sagepub.com
In this article, a method for automatic sentiment analysis of movie reviews is proposed,
implemented and evaluated. In contrast to most studies that focus on determining only …
implemented and evaluated. In contrast to most studies that focus on determining only …
Where to hide a stolen elephant: Leaps in creative writing with multimodal machine intelligence
While developing a story, novices and published writers alike have had to look outside
themselves for inspiration. Language models have recently been able to generate text …
themselves for inspiration. Language models have recently been able to generate text …
IndoLEM and IndoBERT: A benchmark dataset and pre-trained language model for Indonesian NLP
Although the Indonesian language is spoken by almost 200 million people and the 10th
most spoken language in the world, it is under-represented in NLP research. Previous work …
most spoken language in the world, it is under-represented in NLP research. Previous work …
Chestx-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases
The chest X-ray is one of the most commonly accessible radiological examinations for
screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging …
screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging …
Faithful to the original: Fact aware neural abstractive summarization
Unlike extractive summarization, abstractive summarization has to fuse different parts of the
source text, which inclines to create fake facts. Our preliminary study reveals nearly 30% of …
source text, which inclines to create fake facts. Our preliminary study reveals nearly 30% of …
Simple and accurate dependency parsing using bidirectional LSTM feature representations
E Kiperwasser, Y Goldberg - Transactions of the Association for …, 2016 - direct.mit.edu
We present a simple and effective scheme for dependency parsing which is based on
bidirectional-LSTMs (BiLSTMs). Each sentence token is associated with a BiLSTM vector …
bidirectional-LSTMs (BiLSTMs). Each sentence token is associated with a BiLSTM vector …
Demographic dialectal variation in social media: A case study of African-American English
SL Blodgett, L Green, B O'Connor - arXiv preprint arXiv:1608.08868, 2016 - arxiv.org
Though dialectal language is increasingly abundant on social media, few resources exist for
developing NLP tools to handle such language. We conduct a case study of dialectal …
developing NLP tools to handle such language. We conduct a case study of dialectal …
Answering natural language questions by subgraph matching over knowledge graphs
RDF question/answering (Q/A) allows users to ask questions in natural languages over a
knowledge base represented by RDF. To answer a natural language question, the existing …
knowledge base represented by RDF. To answer a natural language question, the existing …
The GUM corpus: Creating multilayer resources in the classroom
A Zeldes - Language Resources and Evaluation, 2017 - Springer
This paper presents the methodology, design principles and detailed evaluation of a new
freely available multilayer corpus, collected and edited via classroom annotation using …
freely available multilayer corpus, collected and edited via classroom annotation using …