NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages

2 code implementations • 31 May 2022 • Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Rahmad Mahendra, Fajri Koto, Ade Romadhony, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Pascale Fung, Timothy Baldwin, Jey Han Lau, Rico Sennrich, Sebastian Ruder

In this work, we focus on developing resources for languages in Indonesia.

Machine Translation Translation

One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia

no code implementations • ACL 2022 • Alham Fikri Aji, Genta Indra Winata, Fajri Koto, Samuel Cahyawijaya, Ade Romadhony, Rahmad Mahendra, Kemal Kurniawan, David Moeljadi, Radityo Eko Prasojo, Timothy Baldwin, Jey Han Lau, Sebastian Ruder

NLP research is impeded by a lack of resources and awareness of the challenges presented by underrepresented languages and dialects.

Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data

1 code implementation • NAACL 2022 • Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

Providing technologies to communities or domains where training data is scarce or protected e. g., for privacy reasons, is becoming increasingly important.

Cross-Lingual Transfer Dependency Parsing +1

PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging

no code implementations • SEMEVAL 2021 • Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

This paper describes PTST, a source-free unsupervised domain adaptation technique for sequence tagging, and its application to the SemEval-2021 Task 10 on time expression recognition.

Unsupervised Domain Adaptation

PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation

1 code implementation • EACL 2021 • Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

Cross-lingual transfer is a leading technique for parsing low-resource languages in the absence of explicit supervision.

Cross-Lingual Transfer

KaWAT: A Word Analogy Task Dataset for Indonesian

2 code implementations • 17 Jun 2019 • Kemal Kurniawan

We introduced KaWAT (Kata Word Analogy Task), a new word analogy task dataset for Indonesian.

Word Embeddings

IndoSum: A New Benchmark Dataset for Indonesian Text Summarization

1 code implementation • 12 Oct 2018 • Kemal Kurniawan, Samuel Louvan

Automatic text summarization is generally considered as a challenging task in the NLP community.

Extractive Summarization Text Summarization

Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging

1 code implementation • 10 Sep 2018 • Kemal Kurniawan, Alham Fikri Aji

Previous work in Indonesian part-of-speech (POS) tagging are hard to compare as they are not evaluated on a common dataset.

Part-Of-Speech Tagging POS +1

Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus

no code implementations • WS 2018 • Fariz Ikhwantri, Samuel Louvan, Kemal Kurniawan, Bagas Abisena, Valdi Rachman, Alfan Farizki Wicaksono, Rahmad Mahendra

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.

Active Learning Multi-Task Learning +1

Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts

1 code implementation • WS 2018 • Kemal Kurniawan, Samuel Louvan

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

named-entity-recognition Named Entity Recognition +1