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04/20/2023
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health
Pretrained language models have been used in various natural language pr...
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04/10/2023
Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging
This paper introduces Bayesian uncertainty modeling using Stochastic Wei...
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12/04/2022
Democratizing Machine Translation with OPUS-MT
This paper presents the OPUS ecosystem with a focus on the development o...
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01/12/2022
How Does Data Corruption Affect Natural Language Understanding Models? A Study on GLUE datasets
A central question in natural language understanding (NLU) research is w...
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04/10/2021
NLI Data Sanity Check: Assessing the Effect of Data Corruption on Model Performance
Pre-trained neural language models give high performance on natural lang...
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11/03/2020
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
We introduce XED, a multilingual fine-grained emotion dataset. The datas...
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10/13/2020
The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT
This paper describes the development of a new benchmark for machine tran...
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08/03/2020
LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?
This paper presents the different models submitted by the LT@Helsinki te...
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02/24/2020
Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation
Transformer-based models have brought a radical change to neural machine...
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11/28/2019
Multimodal Machine Translation through Visuals and Speech
Multimodal machine translation involves drawing information from more th...
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11/27/2019
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
We describe the design, the evaluation setup, and the results of the 201...
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08/06/2019
Predicting Prosodic Prominence from Text with Pre-trained Contextualized Word Representations
In this paper we introduce a new natural language processing dataset and...
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06/10/2019
The University of Helsinki submissions to the WMT19 news translation task
In this paper, we present the University of Helsinki submissions to the ...
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01/09/2019
What do Language Representations Really Represent?
A neural language model trained on a text corpus can be used to induce d...
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11/01/2018
Multilingual NMT with a language-independent attention bridge
In this paper, we propose a multilingual encoder-decoder architecture ca...
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10/24/2018
The MeMAD Submission to the IWSLT 2018 Speech Translation Task
This paper describes the MeMAD project entry to the IWSLT Speech Transla...
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08/31/2018
The MeMAD Submission to the WMT18 Multimodal Translation Task
This paper describes the MeMAD project entry to the WMT Multimodal Machi...
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08/27/2018
Natural Language Inference with Hierarchical BiLSTM Max Pooling Architecture
Recurrent neural networks have proven to be very effective for natural l...
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08/21/2018
Translational Grounding: Using Paraphrase Recognition and Generation to Demonstrate Semantic Abstraction Abilities of MultiLingual NMT
In this paper, we investigate whether multilingual neural translation mo...
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02/01/2018
Emerging Language Spaces Learned From Massively Multilingual Corpora
Translations capture important information about languages that can be u...
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08/20/2017
Neural Machine Translation with Extended Context
We investigate the use of extended context in attention-based neural mac...
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08/20/2017
The Helsinki Neural Machine Translation System
We introduce the Helsinki Neural Machine Translation system (HNMT) and h...
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08/18/2017
Neural machine translation for low-resource languages
Neural machine translation (NMT) approaches have improved the state of t...
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08/18/2017
Cross-Lingual Dependency Parsing for Closely Related Languages - Helsinki's Submission to VarDial 2017
This paper describes the submission from the University of Helsinki to t...
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04/05/2017
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF
We present a character-based model for joint segmentation and POS taggin...
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12/22/2016