Search Results for author: Vincent Nguyen

Found 18 papers, 7 papers with code

Combining Shallow and Deep Representations for Text-Pair Classification

no code implementations ALTA 2021 Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing

Contemporary methods use fine-tuned transformer encoder semantic representations of the classification token in the text-pair sequence from the transformer’s final layer for class prediction.

Classification Paraphrase Identification

Pandemic Literature Search: Finding Information on COVID-19

no code implementations ALTA 2020 Vincent Nguyen, Maciek Rybinski, Sarvnaz Karimi, Zhenchang Xing

Finding information related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually.

Information Retrieval

ICDAR 2021 Competition on Historical Map Segmentation

1 code implementation27 May 2021 Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král

Task~2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy.

Contour Detection Document Layout Analysis +3

The Ubiqus English-Inuktitut System for WMT20

no code implementations WMT (EMNLP) 2020 François Hernandez, Vincent Nguyen

This paper describes Ubiqus' submission to the WMT20 English-Inuktitut shared news translation task.

Translation

Query Focused Multi-document Summarisation of Biomedical Texts

1 code implementation27 Aug 2020 Diego Molla, Christopher Jones, Vincent Nguyen

This paper presents the participation of Macquarie University and the Australian National University for Task B Phase B of the 2020 BioASQ Challenge (BioASQ8b).

reinforcement-learning Sentence Embeddings +1

Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization

no code implementations30 Jul 2020 Paul Tardy, Louis de Seynes, François Hernandez, Vincent Nguyen, David Janiszek, Yannick Estève

In order to build a corpus for this task, it is necessary to obtain the (automatic or manual) transcription of each meeting, and then to segment and align it with the corresponding manual report to produce training examples suitable for training.

Abstractive Text Summarization Denoising +2

Align then Summarize: Automatic Alignment Methods for Summarization Corpus Creation

2 code implementations LREC 2020 Paul Tardy, David Janiszek, Yannick Estève, Vincent Nguyen

We report automatic alignment and summarization performances on this corpus and show that automatic alignment is relevant for data annotation since it leads to large improvement of almost +4 on all ROUGE scores on the summarization task.

Meeting Summarization Text Summarization

Searching Scientific Literature for Answers on COVID-19 Questions

no code implementations6 Jul 2020 Vincent Nguyen, Maciek Rybinski, Sarvnaz Karimi, Zhenchang Xing

Finding answers related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually.

ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge

no code implementations WS 2019 Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing

We report on our system for textual inference and question entailment in the medical domain for the ACL BioNLP 2019 Shared Task, MEDIQA.

Natural Language Inference Question Answering

Question Answering in the Biomedical Domain

no code implementations ACL 2019 Vincent Nguyen

Question answering techniques have mainly been investigated in open domains.

Question Answering

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

2 code implementations12 May 2018 François Hernandez, Vincent Nguyen, Sahar Ghannay, Natalia Tomashenko, Yannick Estève

We present the recent development on Automatic Speech Recognition (ASR) systems in comparison with the two previous releases of the TED-LIUM Corpus from 2012 and 2014.

Automatic Speech Recognition

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