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05/23/2023
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
Gender bias is a significant issue in machine translation, leading to on...
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03/23/2023
Multi-View Zero-Shot Open Intent Induction from Dialogues: Multi Domain Batch and Proxy Gradient Transfer
In Task Oriented Dialogue (TOD) system, detecting and inducing new inten...
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03/15/2023
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning
Vulnerability to lexical perturbation is a critical weakness of automati...
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02/27/2023
Varianceflow: High-Quality and Controllable Text-to-Speech using Variance Information via Normalizing Flow
There are two types of methods for non-autoregressive text-to-speech mod...
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12/21/2022
Critic-Guided Decoding for Controlled Text Generation
Steering language generation towards objectives or away from undesired c...
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07/26/2022
Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text
In this paper, we propose a novel speech emotion recognition model calle...
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05/09/2022
Attribution-based Task-specific Pruning for Multi-task Language Models
Multi-task language models show outstanding performance for various natu...
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05/04/2022
Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking
Despite the recent advances in abstractive summarization systems, it is ...
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04/18/2022
Factual Error Correction for Abstractive Summaries Using Entity Retrieval
Despite the recent advancements in abstractive summarization systems lev...
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09/30/2021
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Fact verification datasets are typically constructed using crowdsourcing...
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09/13/2021
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information
Context-aware neural machine translation (NMT) incorporates contextual i...
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08/28/2021
QACE: Asking Questions to Evaluate an Image Caption
In this paper, we propose QACE, a new metric based on Question Answering...
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06/26/2021
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
Despite the success of various text generation metrics such as BERTScore...
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01/13/2021
Neural Sequence-to-grid Module for Learning Symbolic Rules
Logical reasoning tasks over symbols, such as learning arithmetic operat...
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10/16/2020
Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation
Applying generative adversarial networks (GANs) to text-related tasks is...
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05/01/2020
KPQA: A Metric for Generative Question Answering Using Word Weights
For the automatic evaluation of Generative Question Answering (genQA) sy...
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04/17/2020
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
Even though BERT achieves successful performance improvements in various...
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04/01/2020
Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
Adverse Drug Reaction (ADR) is a significant public health concern world...
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03/23/2020
BaitWatcher: A lightweight web interface for the detection of incongruent news headlines
In digital environments where substantial amounts of information are sha...
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11/29/2019
Attentive Modality Hopping Mechanism for Speech Emotion Recognition
In this work, we explore the impact of visual modality in addition to sp...
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08/24/2019
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks
In this study, we propose a novel graph neural network, called propagate...
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06/19/2019
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model
While deep learning techniques have shown promising results in many natu...
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05/30/2019
A Compare-Aggregate Model with Latent Clustering for Answer Selection
In this paper, we propose a novel method for a sentence-level answer-sel...
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05/16/2019
Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition
In automatic speech recognition, many studies have shown performance imp...
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04/23/2019
Speech Emotion Recognition Using Multi-Hop Attention Mechanism
In this paper, we are interested in exploiting textual and acoustic data...
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11/17/2018
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder
Some news headlines mislead readers with overrated or false information,...
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10/10/2018
Multimodal Speech Emotion Recognition Using Audio and Text
Speech emotion recognition is a challenging task, and extensive reliance...
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09/07/2018
Improving Neural Question Generation using Answer Separation
Neural question generation (NQG) is the task of generating a question fr...
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08/30/2018
Comparative Studies of Detecting Abusive Language on Twitter
The context-dependent nature of online aggression makes annotating large...
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05/19/2018
Number Sequence Prediction Problems and Computational Powers of Neural Network Models
Inspired by number series tests to measure human intelligence, we sugges...
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04/03/2018
AttnConvnet at SemEval-2018 Task 1: Attention-based Convolutional Neural Networks for Multi-label Emotion Classification
In this paper, we propose an attention-based classifier that predict mul...
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10/10/2017
Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering
In this paper, we propose a novel end-to-end neural architecture for ran...
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09/29/2017
Synonym Discovery with Etymology-based Word Embeddings
We propose a novel approach to learn word embeddings based on an extende...
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01/13/2017
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network
In this paper, we propose an efficient transfer leaning methods for trai...
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09/24/2013
Partition-Merge: Distributed Inference and Modularity Optimization
This paper presents a novel meta algorithm, Partition-Merge (PM), which ...
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07/30/2013
Efficient Energy Minimization for Enforcing Statistics
Energy minimization algorithms, such as graph cuts, enable the computati...
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07/30/2013