b'Anna Korhonen'

research

∙ 07/26/2023

Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems

Creating high-quality annotated data for task-oriented dialog (ToD) is k...

0 Songbo Hu, et al. ∙

research

∙ 06/05/2023

Cross-Lingual Transfer with Target Language-Ready Task Adapters

Adapters have emerged as a modular and parameter-efficient approach to (...

0 Marinela Parovic, et al. ∙

research

∙ 06/02/2023

Distilling Efficient Language-Specific Models for Cross-Lingual Transfer

Massively multilingual Transformers (MMTs), such as mBERT and XLM-R, are...

0 Alan Ansell, et al. ∙

research

∙ 05/30/2023

Translation-Enhanced Multilingual Text-to-Image Generation

Research on text-to-image generation (TTI) still predominantly focuses o...

0 Yaoyiran Li, et al. ∙

research

∙ 05/23/2023

Detecting and Mitigating Hallucinations in Multilingual Summarisation

Hallucinations pose a significant challenge to the reliability of neural...

0 Yifu Qiu, et al. ∙

research

∙ 05/22/2023

Language-Agnostic Bias Detection in Language Models

Pretrained language models (PLMs) are key components in NLP, but they co...

0 Abdullatif Köksal, et al. ∙

research

∙ 04/17/2023

LongForm: Optimizing Instruction Tuning for Long Text Generation with Corpus Extraction

Instruction tuning enables language models to generalize more effectivel...

0 Abdullatif Köksal, et al. ∙

research

∙ 01/28/2023

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning

Large pretrained language models have been widely used in downstream NLP...

0 Han Zhou, et al. ∙

research

∙ 12/20/2022

MULTI3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue

Task-oriented dialogue (TOD) systems have been applied in a range of dom...

0 Nikita Moghe, et al. ∙

research

∙ 10/12/2022

Can Pretrained Language Models (Yet) Reason Deductively?

Acquiring factual knowledge with Pretrained Language Models (PLMs) has a...

0 Zhangdie Yuan, et al. ∙

research

∙ 02/15/2022

Delving Deeper into Cross-lingual Visual Question Answering

Visual question answering (VQA) is one of the crucial vision-and-languag...

1 Chen Liu, et al. ∙

research

∙ 01/31/2022

Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation

Multilingual task-oriented dialogue (ToD) facilitates access to services...

0 Olga Majewska, et al. ∙

research

∙ 12/13/2021

Context vs Target Word: Quantifying Biases in Lexical Semantic Datasets

State-of-the-art contextualized models such as BERT use tasks such as Wi...

0 Qianchu Liu, et al. ∙

research

∙ 10/14/2021

Composable Sparse Fine-Tuning for Cross-Lingual Transfer

Fine-tuning all parameters of a pre-trained model has become the mainstr...

7 Alan Ansell, et al. ∙

research

∙ 09/19/2021

MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models

Recent work indicated that pretrained language models (PLMs) such as BER...

0 Qianchu Liu, et al. ∙

research

∙ 08/06/2021

Towards Zero-shot Language Modeling

Can we construct a neural model that is inductively biased towards learn...

0 Edoardo Maria Ponti, et al. ∙

research

∙ 05/30/2021

Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking

Injecting external domain-specific knowledge (e.g., UMLS) into pretraine...

0 Fangyu Liu, et al. ∙

research

∙ 04/17/2021

AM2iCo: Evaluating Word Meaning in Context across Low-ResourceLanguages with Adversarial Examples

Capturing word meaning in context and distinguishing between corresponde...

0 Qianchu Liu, et al. ∙

research

∙ 04/17/2021

Crossing the Conversational Chasm: A Primer on Multilingual Task-Oriented Dialogue Systems

Despite the fact that natural language conversations with machines repre...

0 Evgeniia Razumovskaia, et al. ∙

research

∙ 04/16/2021

Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders

Pretrained Masked Language Models (MLMs) have revolutionised NLP in rece...

1 Fangyu Liu, et al. ∙

research

∙ 01/26/2021

Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification

Semi-supervised learning through deep generative models and multi-lingua...

4 Yi Zhu, et al. ∙

research

∙ 12/31/2020

A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines

We present a focused study of few-shot crosslingual transfer, a recently...

9 Mengjie Zhao, et al. ∙

research

∙ 12/31/2020

Verb Knowledge Injection for Multilingual Event Processing

In parallel to their overwhelming success across NLP tasks, language abi...

0 Olga Majewska, et al. ∙

research

∙ 11/02/2020

Emergent Communication Pretraining for Few-Shot Machine Translation

While state-of-the-art models that rely upon massively multilingual pret...

0 Yaoyiran Li, et al. ∙

research

∙ 10/12/2020

Probing Pretrained Language Models for Lexical Semantics

The success of large pretrained language models (LMs) such as BERT and R...

0 Ivan Vulić, et al. ∙

research

∙ 05/11/2020

Multidirectional Associative Optimization of Function-Specific Word Representations

We present a neural framework for learning associations between interrel...

0 Daniela Gerz, et al. ∙

research

∙ 05/01/2020

XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning

In order to simulate human language capacity, natural language processin...

0 Edoardo Maria Ponti, et al. ∙

research

∙ 04/05/2020

Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory

The ability of a dialog system to express prespecified language style du...

0 Yixuan Su, et al. ∙

research

∙ 04/05/2020

Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy

Stylistic response generation is crucial for building an engaging dialog...

0 Yixuan Su, et al. ∙

research

∙ 03/10/2020

Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity

We introduce Multi-SimLex, a large-scale lexical resource and evaluation...

0 Ivan Vulić, et al. ∙

research

∙ 01/30/2020

Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages

Most combinations of NLP tasks and language varieties lack in-domain exa...

0 Edoardo M. Ponti, et al. ∙

research

∙ 01/30/2020

Lost in Embedding Space: Explaining Cross-Lingual Task Performance with Eigenvalue Divergence

Performance in cross-lingual NLP tasks is impacted by the (dis)similarit...

0 Haim Dubossarsky, et al. ∙

research

∙ 11/26/2019

Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling

Dialogue systems benefit greatly from optimizing on detailed annotations...

0 Bo-Hsiang Tseng, et al. ∙

research

∙ 09/26/2019

On the Importance of Subword Information for Morphological Tasks in Truly Low-Resource Languages

Recent work has validated the importance of subword information for word...

0 Yi Zhu, et al. ∙

research

∙ 09/05/2019

Informing Unsupervised Pretraining with External Linguistic Knowledge

Unsupervised pretraining models have been shown to facilitate a wide ran...

0 Anne Lauscher, et al. ∙

research

∙ 09/04/2019

Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?

Recent efforts in cross-lingual word embedding (CLWE) learning have pred...

0 Ivan Vulić, et al. ∙

research

∙ 04/16/2019

A Systematic Study of Leveraging Subword Information for Learning Word Representations

The use of subword-level information (e.g., characters, character n-gram...

0 Yi Zhu, et al. ∙

research

∙ 09/11/2018

Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization

Semantic specialization is the process of fine-tuning pre-trained distri...

0 Edoardo Maria Ponti, et al. ∙

research

∙ 07/02/2018

Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing

Addressing the cross-lingual variation of grammatical structures and mea...

0 Edoardo Maria Ponti, et al. ∙

research

∙ 05/08/2018

Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources

Word vector specialisation (also known as retrofitting) is a portable, l...

0 Ivan Vulić, et al. ∙

research

∙ 11/01/2017

Erratum: Link prediction in drug-target interactions network using similarity indices

Background: In silico drug-target interaction (DTI) prediction plays an ...

0 Yiding Lu, et al. ∙

research

∙ 07/21/2017

Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation

Existing approaches to automatic VerbNet-style verb classification are h...

0 Ivan Vulić, et al. ∙

research

∙ 06/01/2017

Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules

Morphologically rich languages accentuate two properties of distribution...

0 Ivan Vulić, et al. ∙

research

∙ 06/01/2017

Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

We present Attract-Repel, an algorithm for improving the semantic qualit...

0 Nikola Mrkšić, et al. ∙

research

∙ 05/17/2017

Decoding Sentiment from Distributed Representations of Sentences

Distributed representations of sentences have been developed recently to...

0 Edoardo Maria Ponti, et al. ∙

research

∙ 10/11/2016

Survey on the Use of Typological Information in Natural Language Processing

In recent years linguistic typology, which classifies the world's langua...

0 Helen O'Horan, et al. ∙

research

∙ 08/19/2016

Automatic Selection of Context Configurations for Improved Class-Specific Word Representations

This paper is concerned with identifying contexts useful for training wo...

0 Ivan Vulić, et al. ∙

research

∙ 08/06/2016

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

We introduce HyperLex - a dataset and evaluation resource that quantifie...

0 Ivan Vulić, et al. ∙

research

∙ 08/02/2016

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

Verbs play a critical role in the meaning of sentences, but these ubiqui...

0 Daniela Gerz, et al. ∙

research

∙ 05/15/2016

Anchoring and Agreement in Syntactic Annotations

We present a study on two key characteristics of human syntactic annotat...

0 Yevgeni Berzak, et al. ∙

Anna Korhonen

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