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05/31/2023
XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech
We present XPhoneBERT, the first multilingual model pre-trained to learn...
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10/17/2022
Joint Multilingual Knowledge Graph Completion and Alignment
Knowledge graph (KG) alignment and completion are usually treated as two...
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09/17/2022
From Disfluency Detection to Intent Detection and Slot Filling
We present the first empirical study investigating the influence of disf...
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08/08/2022
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation
In this paper, we introduce a high-quality and large-scale benchmark dat...
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12/16/2021
Two-view Graph Neural Networks for Knowledge Graph Completion
In this paper, we introduce a novel GNN-based knowledge graph embedding ...
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10/23/2021
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
We introduce a high-quality and large-scale Vietnamese-English parallel ...
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09/20/2021
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese
We present BARTpho with two versions – BARTpho_word and BARTpho_syllable...
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04/15/2021
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
We introduce a novel embedding model, named NoKE, which aims to integrat...
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04/08/2021
COVID-19 Named Entity Recognition for Vietnamese
The current COVID-19 pandemic has lead to the creation of many corpora t...
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04/05/2021
Intent detection and slot filling for Vietnamese
Intent detection and slot filling are important tasks in spoken and natu...
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01/05/2021
PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing
We present the first multi-task learning model – named PhoNLP – for join...
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10/16/2020
WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets
In this paper, we provide an overview of the WNUT-2020 shared task on th...
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10/05/2020
A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
Semantic parsing is an important NLP task. However, Vietnamese is a low-...
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07/13/2020
A Label Attention Model for ICD Coding from Clinical Text
ICD coding is a process of assigning the International Classification of...
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05/20/2020
BERTweet: A pre-trained language model for English Tweets
We present BERTweet, the first public large-scale pre-trained language m...
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03/02/2020
PhoBERT: Pre-trained language models for Vietnamese
We present PhoBERT with two versions of "base" and "large"–the first pub...
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11/26/2019
A Vietnamese information retrieval system for product-price
A price information retrieval (IR) system allows users to search and vie...
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11/26/2019
A Vietnamese Text-Based Conversational Agent
This paper introduces a Vietnamese text-based conversational agent archi...
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11/26/2019
A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page
Search engines have become an indispensable tool for browsing informatio...
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11/26/2019
A Vietnamese Question Answering System
Question answering systems aim to produce exact answers to users' questi...
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11/12/2019
A Capsule Network-based Model for Learning Node Embeddings
In this paper, we focus on learning low-dimensional embeddings of entity...
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07/05/2019
Improving Chemical Named Entity Recognition in Patents with Contextualized Word Embeddings
Chemical patents are an important resource for chemical information. How...
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12/30/2018
A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing
We propose the first joint model for Vietnamese word segmentation, part-...
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12/29/2018
End-to-end neural relation extraction using deep biaffine attention
We propose a neural network model for joint extraction of named entities...
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10/15/2018
Improving Topic Models with Latent Feature Word Representations
Probabilistic topic models are widely used to discover latent topics in ...
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08/25/2018
Comparing CNN and LSTM character-level embeddings in BiLSTM-CRF models for chemical and disease named entity recognition
We compare the use of LSTM-based and CNN-based character-level word embe...
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08/13/2018
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
In this paper, we introduce an embedding model, named CapsE, exploring a...
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08/11/2018
jLDADMM: A Java package for the LDA and DMM topic models
In this technical report, we present jLDADMM---an easy-to-use Java toolk...
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08/11/2018
From POS tagging to dependency parsing for biomedical event extraction
Given the importance of relation or event extraction from biomedical res...
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07/11/2018
An improved neural network model for joint POS tagging and dependency parsing
We propose a novel neural network model for joint part-of-speech (POS) t...
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05/27/2018
Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
We investigate the incorporation of character-based word representations...
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04/02/2018
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter
This paper describes our NIHRIO system for SemEval-2018 Task 3 "Irony de...
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01/04/2018
VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NL...
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12/06/2017
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
We introduce a novel embedding method for knowledge base completion task...
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11/14/2017
From Word Segmentation to POS Tagging for Vietnamese
This paper presents an empirical comparison of two strategies for Vietna...
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09/19/2017
A Fast and Accurate Vietnamese Word Segmenter
We propose a novel approach to Vietnamese word segmentation. Our approac...
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09/18/2017
Sequence to Sequence Learning for Event Prediction
This paper presents an approach to the task of predicting an event descr...
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06/15/2017
A Mixture Model for Learning Multi-Sense Word Embeddings
Word embeddings are now a standard technique for inducing meaning repres...
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05/16/2017
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
We present a novel neural network model that learns POS tagging and grap...
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03/23/2017
An overview of embedding models of entities and relationships for knowledge base completion
Knowledge bases of real-world facts about entities and their relationshi...
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12/12/2016
Search Personalization with Embeddings
Recent research has shown that the performance of search personalization...
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11/03/2016
An empirical study for Vietnamese dependency parsing
This paper presents an empirical comparison of different dependency pars...
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06/27/2016
STransE: a novel embedding model of entities and relationships in knowledge bases
Knowledge bases of real-world facts about entities and their relationshi...
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06/21/2016
Neighborhood Mixture Model for Knowledge Base Completion
Knowledge bases are useful resources for many natural language processin...
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12/12/2014
Ripple Down Rules for Question Answering
Recent years have witnessed a new trend of building ontology-based quest...
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12/12/2014
