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09/15/2023
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
Large language models (LLMs) are highly adept at question answering and ...
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09/14/2023
Connecting the Dots in News Analysis: A Cross-Disciplinary Survey of Media Bias and Framing
The manifestation and effect of bias in news reporting have been central...
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06/15/2023
CMMLU: Measuring massive multitask language understanding in Chinese
As the capabilities of large language models (LLMs) continue to advance,...
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06/14/2023
Language models are not naysayers: An analysis of language models on negation benchmarks
Negation has been shown to be a major bottleneck for masked language mod...
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06/02/2023
Unsupervised Paraphrasing of Multiword Expressions
We propose an unsupervised approach to paraphrasing multiword expression...
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05/24/2023
Bactrian-X : A Multilingual Replicable Instruction-Following Model with Low-Rank Adaptation
Instruction tuning has shown great promise in the field of natural langu...
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02/11/2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP
Modern NLP systems exhibit a range of biases, which a growing literature...
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12/19/2022
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
We present NusaCrowd, a collaborative initiative to collect and unite ex...
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10/17/2022
Systematic Evaluation of Predictive Fairness
Mitigating bias in training on biased datasets is an important open prob...
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10/06/2022
Not another Negation Benchmark: The NaN-NLI Test Suite for Sub-clausal Negation
Negation is poorly captured by current language models, although the ext...
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09/19/2022
LED down the rabbit hole: exploring the potential of global attention for biomedical multi-document summarisation
In this paper we report on our submission to the Multidocument Summarisa...
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09/17/2022
Unsupervised Lexical Substitution with Decontextualised Embeddings
We propose a new unsupervised method for lexical substitution using pre-...
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05/31/2022
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages
Natural language processing (NLP) has a significant impact on society vi...
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05/09/2022
Improving negation detection with negation-focused pre-training
Negation is a common linguistic feature that is crucial in many language...
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05/05/2022
Optimising Equal Opportunity Fairness in Model Training
Real-world datasets often encode stereotypes and societal biases. Such b...
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05/04/2022
fairlib: A Unified Framework for Assessing and Improving Classification Fairness
This paper presents fairlib, an open-source framework for assessing and ...
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03/24/2022
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 chal...
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03/12/2022
Towards Equal Opportunity Fairness through Adversarial Learning
Adversarial training is a common approach for bias mitigation in natural...
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02/16/2022
ITTC @ TREC 2021 Clinical Trials Track
This paper describes the submissions of the Natural Language Processing ...
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09/22/2021
Contrastive Learning for Fair Representations
Trained classification models can unintentionally lead to biased represe...
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09/21/2021
Fairness-aware Class Imbalanced Learning
Class imbalance is a common challenge in many NLP tasks, and has clear c...
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09/21/2021
Evaluating Debiasing Techniques for Intersectional Biases
Bias is pervasive in NLP models, motivating the development of automatic...
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09/16/2021
Balancing out Bias: Achieving Fairness Through Training Reweighting
Bias in natural language processing arises primarily from models learnin...
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09/14/2021
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning
Pre-trained language models have led to substantial gains over a broad r...
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09/10/2021
IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization
We present IndoBERTweet, the first large-scale pretrained model for Indo...
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07/30/2021
Automatic Claim Review for Climate Science via Explanation Generation
There is unison is the scientific community about human induced climate ...
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06/02/2021
Evaluating the Efficacy of Summarization Evaluation across Languages
While automatic summarization evaluation methods developed for English a...
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05/25/2021
Impact of detecting clinical trial elements in exploration of COVID-19 literature
The COVID-19 pandemic has driven ever-greater demand for tools which ena...
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04/13/2021
Discourse Probing of Pretrained Language Models
Existing work on probing of pretrained language models (LMs) has predomi...
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03/18/2021
Evaluating Document Coherence Modelling
While pretrained language models ("LM") have driven impressive gains ove...
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02/03/2021
Top-down Discourse Parsing via Sequence Labelling
We introduce a top-down approach to discourse parsing that is conceptual...
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01/25/2021
Diverse Adversaries for Mitigating Bias in Training
Adversarial learning can learn fairer and less biased models of language...
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11/27/2020
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization
In this paper, we propose FFCI, a framework for automatic summarization ...
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11/02/2020
Liputan6: A Large-scale Indonesian Dataset for Text Summarization
In this paper, we introduce a large-scale Indonesian summarization datas...
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11/02/2020
IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP
Although the Indonesian language is spoken by almost 200 million people ...
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10/30/2020
Target Word Masking for Location Metonymy Resolution
Existing metonymy resolution approaches rely on features extracted from ...
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10/27/2020
Learning Contextualised Cross-lingual Word Embeddings for Extremely Low-Resource Languages Using Parallel Corpora
We propose a new approach for learning contextualised cross-lingual word...
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08/18/2020
COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research
We present COVID-SEE, a system for medical literature discovery based on...
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05/27/2020
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?
As part of growing NLP capabilities, coupled with an awareness of the et...
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05/04/2020
WikiUMLS: Aligning UMLS to Wikipedia via Cross-lingual Neural Ranking
We present our work on aligning the Unified Medical Language System (UML...
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04/30/2020
You are right. I am ALARMED – But by Climate Change Counter Movement
The world is facing the challenge of climate crisis. Despite the consens...
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12/02/2019
SemEval-2017 Task 3: Community Question Answering
We describe SemEval-2017 Task 3 on Community Question Answering. This ye...
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11/16/2019
Improved Document Modelling with a Neural Discourse Parser
Despite the success of attention-based neural models for natural languag...
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08/31/2019
Deep Ordinal Regression for Pledge Specificity Prediction
Many pledges are made in the course of an election campaign, forming imp...
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07/18/2019
Evaluating the Utility of Document Embedding Vector Difference for Relation Learning
Recent work has demonstrated that vector offsets obtained by subtracting...
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06/07/2019
Semi-supervised Stochastic Multi-Domain Learning using Variational Inference
Supervised models of NLP rely on large collections of text which closely...
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05/20/2019
Target Based Speech Act Classification in Political Campaign Text
We study pragmatics in political campaign text, through analysis of spee...
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05/04/2019
Contextualization of Morphological Inflection
Critical to natural language generation is the production of correctly i...
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01/04/2019
A Joint Model for Multimodal Document Quality Assessment
The quality of a document is affected by various factors, including gram...
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07/10/2018