research
∙
09/15/2023
Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning
Multilingual semantic search is the task of retrieving relevant contents...
share
research
∙
07/24/2023
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Punctuation restoration is an important task in automatic speech recogni...
research
∙
03/15/2023
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning
Vulnerability to lexical perturbation is a critical weakness of automati...
research
∙
10/14/2022
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations
Most weakly supervised named entity recognition (NER) models rely on dom...
research
∙
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...
research
∙
07/19/2022
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search
Since BERT (Devlin et al., 2018), learning contextualized word embedding...
research
∙
05/26/2022
Fine-grained Image Captioning with CLIP Reward
Modern image captioning models are usually trained with text similarity ...
research
∙
04/18/2022
Factual Error Correction for Abstractive Summaries Using Entity Retrieval
Despite the recent advancements in abstractive summarization systems lev...
research
∙
04/12/2022
How does fake news use a thumbnail? CLIP-based Multimodal Detection on the Unrepresentative News Image
This study investigates how fake news uses a thumbnail for a news articl...
research
∙
02/24/2022
CAISE: Conversational Agent for Image Search and Editing
Demand for image editing has been increasing as users' desire for expres...
research
∙
02/19/2022
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction
Acronym extraction is the task of identifying acronyms and their expande...
research
∙
12/16/2021
Simple Questions Generate Named Entity Recognition Datasets
Named entity recognition (NER) is a task of extracting named entities of...
research
∙
09/13/2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
In this work, we focus on a more challenging few-shot intent detection s...
research
∙
08/28/2021
QACE: Asking Questions to Evaluate an Image Caption
In this paper, we propose QACE, a new metric based on Question Answering...
research
∙
06/26/2021
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning
Despite the success of various text generation metrics such as BERTScore...
research
∙
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...
research
∙
05/01/2020
KPQA: A Metric for Generative Question Answering Using Word Weights
For the automatic evaluation of Generative Question Answering (genQA) sy...
research
∙
04/17/2020
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
Even though BERT achieves successful performance improvements in various...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
09/12/2019
Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense
Reactive defense mechanisms, such as intrusion detection systems, have m...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
04/23/2019
Speech Emotion Recognition Using Multi-Hop Attention Mechanism
In this paper, we are interested in exploiting textual and acoustic data...
research
∙
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,...
research
∙
10/10/2018
Multimodal Speech Emotion Recognition Using Audio and Text
Speech emotion recognition is a challenging task, and extensive reliance...
research
∙
08/30/2018
Comparative Studies of Detecting Abusive Language on Twitter
The context-dependent nature of online aggression makes annotating large...
research
∙
07/18/2018
FRVM: Flexible Random Virtual IP Multiplexing in Software-Defined Networks
Network address shuffling is one of moving target defense (MTD) techniqu...
research
∙
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...
research
∙
09/29/2017
Synonym Discovery with Etymology-based Word Embeddings
We propose a novel approach to learn word embeddings based on an extende...
research
∙
01/13/2017
