Search Results for author:
Found 18 papers, 8 papers with code
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Sequential Labelling and DNABERT For Splice Site Prediction in Homo Sapiens DNA
Recent predictions are carried out with models trained on sequence with fixed splice site location which eliminates possibility of multiple splice sites existence in single sequence.
NusaCrowd: A Call for Open and Reproducible NLP Research in Indonesian Languages
At the center of the underlying issues that halt Indonesian natural language processing (NLP) research advancement, we find data scarcity.
Speech Artifact Removal from EEG Recordings of Spoken Word Production with Tensor Decomposition
Research about brain activities involving spoken word production is considerably underdeveloped because of the undiscovered characteristics of speech artifacts, which contaminate electroencephalogram (EEG) signals and prevent the inspection of the underlying cognitive processes.
A Comparative Study on Language Models for Task-Oriented Dialogue Systems
The recent development of language models has shown promising results by achieving state-of-the-art performance on various natural language tasks by fine-tuning pretrained models.
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
Natural language generation (NLG) benchmarks provide an important avenue to measure progress and develop better NLG systems.
Sequence-to-Sequence Learning for Indonesian Automatic Question Generator
Research in automatic question generator (AQG) has been conducted for more than 10 years, mainly focused on factoid question.
Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features
Since JRNN in general requires a large amount of data as the training examples and creating those examples is expensive, we used a data augmentation method to increase the number of training examples.
Combining Word and Character Vector Representation on Neural Machine Translation
This paper describes combinations of word vector representation and character vector representation in English-Indonesian neural machine translation (NMT).
Relation Detection for Indonesian Language using Deep Neural Network -- Support Vector Machine
In this paper, we employ neural network to do relation detection between two named entities for Indonesian Language.
Improving Bi-LSTM Performance for Indonesian Sentiment Analysis Using Paragraph Vector
Meanwhile, in the problem scope of Indonesian sentiment analysis, phrases that express the sentiment of a document might not appear in the first or last part of the document that can lead to incorrect sentiment classification.
Improving Indonesian Text Classification Using Multilingual Language Model
Using the feature-based approach, we observe its performance on various data sizes and total added English data.
Investigating Bi-LSTM and CRF with POS Tag Embedding for Indonesian Named Entity Tagger
The second is the usage of part of speech (POS) tag embedding input layer.
Coreference Resolution System for Indonesian Text with Mention Pair Method and Singleton Exclusion using Convolutional Neural Network
In this paper, we propose a new coreference resolution system for Indonesian text with mention pair method that uses deep neural network to learn the relations of the two mentions.
IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding
Although Indonesian is known to be the fourth most frequently used language over the internet, the research progress on this language in the natural language processing (NLP) is slow-moving due to a lack of available resources.
Indonesian Social Media Sentiment Analysis With Sarcasm Detection
Sarcasm is considered one of the most difficult problem in sentiment analysis.
