Recent posts

Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in Indonesia

1 minute read

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Extracting information from unstructured data becomes a challenging task for computational linguistics. Public figure’s statement attributed by journalists in a story is one type of information that can be processed into structured data. Therefore, having the knowledge base about this data will be very beneficial for further use, such as for opinion mining, claim detection and fact-checking. This study aims to understand statement extraction tasks and the models that have already been applied to formulate a framework for further study.

Research about Named Entity Recognition Published in ArXiv

2 minute read

Published:

Named Entity Recognition (NER) is a task in Information Extraction consisting in identifying and classifying just some types of information elements, called Named Entities (NE). I have tried to collect and curate some publications form Arxiv that related to NER, and the results were listed here. Please enjoy it!

Research about Sentiment Analysis in Social Media Published in ArXiv

2 minute read

Published:

Sentiment analysis is the area which deals with judgments, responses as well as feelings, which is generated from texts, being extensively used in fields like data mining, web mining, and social media analytics because sentiments are the most essential characteristics to judge the human behavior. I have tried to collect and curate some publications form Arxiv that related to the sentiment analysis in social media, and the results were listed here. Please enjoy it!

Research about Multilingual Machine Translation Published in ArXiv

2 minute read

Published:

Machine Translation ( MT) is the task of automatically converting one natural language to another, preserving the meaning of the input text, and producing fluent text in the output language. I have tried to collect and curate some publications form Arxiv that related to the multi-lingual machine translation for low resource language, and the results were listed here. Please enjoy it!

Research about Visual Question Answering Published in ArXiv

4 minute read

Published:

Visual Question Answering (VQA) is a recent topic in computer vision and natural language processing that has attracted a great deal of attention from deep learning, computer vision and natural language processing communities.. I have tried to collect and curate some publications form Arxiv that related to the visual question answering, and the results were listed here. Please enjoy it!