Samuel Louvan

We present INDOSUM, a new benchmark dataset for Indonesian text summarization. Expand

We investigate various mechanisms to reformulate our query in order to retrieve more relevant documents. Expand

We propose a joint model of slot filling and Named Entity Recognition (NER) in a multi-task learning (MTL) setup which achieves competitive performance compared with state-of-the-art. Expand

We address the problem of aspect-based sentiment analysis (ABSA) from Indonesian restaurant reviews due to its usefulness for customer satisfaction applications. Expand

We report an empirical evaluation of neural sequence labeling models with character embedding to tackle NER task in Indonesian conversational texts. Expand

We show that using auxiliary non-conversational tasks as auxiliary tasks in a multi-task learning setup consistently improves low resource slot filling performance. Expand

We develop a framework to measure the security awareness level of web developers in Indonesia. Expand

The Internet has many benefits, some of them are to gain knowledge and gain the latest information. Expand

A cross-sentence, collective role-labeling and alignment method for harvesting process knowledge from multiple sentence-level descriptions. Expand