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Found 21 papers, 7 papers with code
ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings
This paper presents Iswara’s participation in the WNUT-2020 Task 2 “Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings”, which tries to classify whether a certain tweet is considered informative or not.
Cross-Lingual and Supervised Learning Approach for Indonesian Word Sense Disambiguation Task
Ambiguity is a problem we frequently face in Natural Language Processing.
MultiLexNorm: A Shared Task on Multilingual Lexical Normalization
This task is beneficial for downstream analysis, as it provides a way to harmonize (often spontaneous) linguistic variation.
A Multi-Pass Sieve Coreference Resolution for Indonesian
Coreference resolution is an NLP task to find out whether the set of referring expressions belong to the same concept in discourse.
IndoCulture: Exploring Geographically-Influenced Cultural Commonsense Reasoning Across Eleven Indonesian Provinces
Although commonsense reasoning is greatly shaped by cultural and geographical factors, previous studies on language models have predominantly centered on English cultures, potentially resulting in an Anglocentric bias.
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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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.
Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: a Study on Indonesian Tweets
Although there were already several studies related to the detection of misinformation in social media data, most studies focused on the English dataset.
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages
In this work, we focus on developing resources for languages in Indonesia.
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia
NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialects.
ITTC @ TREC 2021 Clinical Trials Track
This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial Transformation Training Centre (ITTC) for Cognitive Computing in Medical Technologies to the TREC 2021 Clinical Trials Track.
IndoNLI: A Natural Language Inference Dataset for Indonesian
The expert-annotated data is used exclusively as a test set.
UI at SemEval-2020 Task 4: Commonsense Validation and Explanation by Exploiting Contradiction
This paper describes our submissions into the ComVe challenge, the SemEval 2020 Task 4.
Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation
In this work, we address a style-transfer from informal to formal Indonesian as a low-resource machine translation problem.
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.
Normalization of Indonesian-English Code-Mixed Twitter Data
Twitter is an excellent source of data for NLP researches as it offers tremendous amount of textual data.
Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks
We propose keyphrases extraction technique to extract important terms from the healthcare user-generated contents.
Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus
In this paper, we propose a Multi-Task Active Learning framework for Semantic Role Labeling with Entity Recognition (ER) as the auxiliary task to alleviate the need for extensive data and use additional information from ER to help SRL.
KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents
We present KOI (Knowledge of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events.
