Timothy Baldwin

research

∙ 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 ...

0 Chen Cecilia Liu, et al. ∙

research

∙ 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...

0 Gisela Vallejo, et al. ∙

research

∙ 06/15/2023

CMMLU: Measuring massive multitask language understanding in Chinese

As the capabilities of large language models (LLMs) continue to advance,...

0 Haonan Li, et al. ∙

research

∙ 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...

0 Thinh Hung Truong, et al. ∙

research

∙ 06/02/2023

Unsupervised Paraphrasing of Multiword Expressions

We propose an unsupervised approach to paraphrasing multiword expression...

0 Takashi Wada, et al. ∙

research

∙ 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...

0 Haonan Li, et al. ∙

research

∙ 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...

0 Xudong Han, et al. ∙

research

∙ 12/19/2022

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

We present NusaCrowd, a collaborative initiative to collect and unite ex...

0 Samuel Cahyawijaya, et al. ∙

research

∙ 10/17/2022

Systematic Evaluation of Predictive Fairness

Mitigating bias in training on biased datasets is an important open prob...

0 Xudong Han, et al. ∙

research

∙ 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...

0 Hung Thinh Truong, et al. ∙

research

∙ 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...

0 Yulia Otmakhova, et al. ∙

research

∙ 09/17/2022

Unsupervised Lexical Substitution with Decontextualised Embeddings

We propose a new unsupervised method for lexical substitution using pre-...

0 Takashi Wada, et al. ∙

research

∙ 05/31/2022

NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages

Natural language processing (NLP) has a significant impact on society vi...

5 Genta Indra Winata, et al. ∙

research

∙ 05/09/2022

Improving negation detection with negation-focused pre-training

Negation is a common linguistic feature that is crucial in many language...

0 Thinh Hung Truong, et al. ∙

research

∙ 05/05/2022

Optimising Equal Opportunity Fairness in Model Training

Real-world datasets often encode stereotypes and societal biases. Such b...

0 Aili Shen, et al. ∙

research

∙ 05/04/2022

fairlib: A Unified Framework for Assessing and Improving Classification Fairness

This paper presents fairlib, an open-source framework for assessing and ...

0 Xudong Han, et al. ∙

research

∙ 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...

4 Alham Fikri Aji, et al. ∙

research

∙ 03/12/2022

Towards Equal Opportunity Fairness through Adversarial Learning

Adversarial training is a common approach for bias mitigation in natural...

0 Xudong Han, et al. ∙

research

∙ 02/16/2022

ITTC @ TREC 2021 Clinical Trials Track

This paper describes the submissions of the Natural Language Processing ...

0 Thinh Hung Truong, et al. ∙

research

∙ 09/22/2021

Contrastive Learning for Fair Representations

Trained classification models can unintentionally lead to biased represe...

0 Aili Shen, et al. ∙

research

∙ 09/21/2021

Fairness-aware Class Imbalanced Learning

Class imbalance is a common challenge in many NLP tasks, and has clear c...

0 Shivashankar Subramanian, et al. ∙

research

∙ 09/21/2021

Evaluating Debiasing Techniques for Intersectional Biases

Bias is pervasive in NLP models, motivating the development of automatic...

0 Shivashankar Subramanian, et al. ∙

research

∙ 09/16/2021

Balancing out Bias: Achieving Fairness Through Training Reweighting

Bias in natural language processing arises primarily from models learnin...

0 Xudong Han, et al. ∙

research

∙ 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...

5 Haonan Li, et al. ∙

research

∙ 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...

11 Fajri Koto, et al. ∙

research

∙ 07/30/2021

Automatic Claim Review for Climate Science via Explanation Generation

There is unison is the scientific community about human induced climate ...

0 Shraey Bhatia, et al. ∙

research

∙ 06/02/2021

Evaluating the Efficacy of Summarization Evaluation across Languages

While automatic summarization evaluation methods developed for English a...

12 Fajri Koto, et al. ∙

research

∙ 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...

0 Simon Šuster, et al. ∙

research

∙ 04/13/2021

Discourse Probing of Pretrained Language Models

Existing work on probing of pretrained language models (LMs) has predomi...

4 Fajri Koto, et al. ∙

research

∙ 03/18/2021

Evaluating Document Coherence Modelling

While pretrained language models ("LM") have driven impressive gains ove...

0 Aili Shen, et al. ∙

research

∙ 02/03/2021

Top-down Discourse Parsing via Sequence Labelling

We introduce a top-down approach to discourse parsing that is conceptual...

5 Fajri Koto, et al. ∙

research

∙ 01/25/2021

Diverse Adversaries for Mitigating Bias in Training

Adversarial learning can learn fairer and less biased models of language...

0 Xudong Han, et al. ∙

research

∙ 11/27/2020

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

In this paper, we propose FFCI, a framework for automatic summarization ...

7 Fajri Koto, et al. ∙

research

∙ 11/02/2020

Liputan6: A Large-scale Indonesian Dataset for Text Summarization

In this paper, we introduce a large-scale Indonesian summarization datas...

9 Fajri Koto, et al. ∙

research

∙ 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 ...

11 Fajri Koto, et al. ∙

research

∙ 10/30/2020

Target Word Masking for Location Metonymy Resolution

Existing metonymy resolution approaches rely on features extracted from ...

2 Haonan Li, et al. ∙

research

∙ 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...

0 Takashi Wada, et al. ∙

research

∙ 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...

0 Karin Verspoor, et al. ∙

research

∙ 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...

0 Kobi Leins, et al. ∙

research

∙ 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...

0 Afshin Rahimi, et al. ∙

research

∙ 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...

0 Shraey Bhatia, et al. ∙

research

∙ 12/02/2019

SemEval-2017 Task 3: Community Question Answering

We describe SemEval-2017 Task 3 on Community Question Answering. This ye...

11 Preslav Nakov, et al. ∙

research

∙ 11/16/2019

Improved Document Modelling with a Neural Discourse Parser

Despite the success of attention-based neural models for natural languag...

0 Fajri Koto, et al. ∙

research

∙ 08/31/2019

Deep Ordinal Regression for Pledge Specificity Prediction

Many pledges are made in the course of an election campaign, forming imp...

0 Shivashankar Subramanian, et al. ∙

research

∙ 07/18/2019

Evaluating the Utility of Document Embedding Vector Difference for Relation Learning

Recent work has demonstrated that vector offsets obtained by subtracting...

0 Jingyuan Zhang, et al. ∙

research

∙ 06/07/2019

Semi-supervised Stochastic Multi-Domain Learning using Variational Inference

Supervised models of NLP rely on large collections of text which closely...

0 Yitong Li, et al. ∙

research

∙ 05/20/2019

Target Based Speech Act Classification in Political Campaign Text

We study pragmatics in political campaign text, through analysis of spee...

0 Shivashankar Subramanian, et al. ∙

research

∙ 05/04/2019

Contextualization of Morphological Inflection

Critical to natural language generation is the production of correctly i...

0 Ekaterina Vylomova, et al. ∙

research

∙ 01/04/2019

A Joint Model for Multimodal Document Quality Assessment

The quality of a document is affected by various factors, including gram...

26 Aili Shen, et al. ∙

research

∙ 07/10/2018

Deep-speare: A Joint Neural Model of Poetic Language, Meter and Rhyme

In this paper, we propose a joint architecture that captures language, r...

0 Jey Han Lau, et al. ∙

Timothy Baldwin

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