Franck Dernoncourt

research

∙ 09/17/2023

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

The driving factors behind the development of large language models (LLM...

0 Thuat Nguyen, et al. ∙

research

∙ 09/16/2023

PDFTriage: Question Answering over Long, Structured Documents

Large Language Models (LLMs) have issues with document question answerin...

0 Jon Saad-Falcon, et al. ∙

research

∙ 09/15/2023

Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning

Multilingual semantic search is the task of retrieving relevant contents...

0 Meryem M'hamdi, et al. ∙

research

∙ 09/07/2023

TaleStream: Supporting Story Ideation with Trope Knowledge

Story ideation is a critical part of the story-writing process. It is ch...

0 Jean-Peïc Chou, et al. ∙

research

∙ 09/02/2023

Bias and Fairness in Large Language Models: A Survey

Rapid advancements of large language models (LLMs) have enabled the proc...

0 Isabel O. Gallegos, et al. ∙

research

∙ 07/29/2023

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

A key technology for the development of large language models (LLMs) inv...

0 Viet Dac Lai, et al. ∙

research

∙ 07/24/2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning

Punctuation restoration is an important task in automatic speech recogni...

0 Viet Dac Lai, et al. ∙

research

∙ 07/23/2023

Learning Navigational Visual Representations with Semantic Map Supervision

Being able to perceive the semantics and the spatial structure of the en...

0 Yicong Hong, et al. ∙

research

∙ 07/08/2023

Fairness-Aware Graph Neural Networks: A Survey

Graph Neural Networks (GNNs) have become increasingly important due to t...

0 April Chen, et al. ∙

research

∙ 06/02/2023

Efficient Spoken Language Recognition via Multilabel Classification

Spoken language recognition (SLR) is the task of automatically identifyi...

0 Oriol Nieto, et al. ∙

research

∙ 05/27/2023

MeetingBank: A Benchmark Dataset for Meeting Summarization

As the number of recorded meetings increases, it becomes increasingly im...

0 Yebowen Hu, et al. ∙

research

∙ 04/12/2023

ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Over the last few years, large language models (LLMs) have emerged as th...

0 Viet Dac Lai, et al. ∙

research

∙ 02/15/2023

Envisioning the Next-Gen Document Reader

People read digital documents on a daily basis to share, exchange, and u...

0 Catherine Yeh, et al. ∙

research

∙ 02/02/2023

Curriculum-Guided Abstractive Summarization

Recent Transformer-based summarization models have provided a promising ...

0 Sajad Sotudeh, et al. ∙

research

∙ 02/02/2023

Curriculum-guided Abstractive Summarization for Mental Health Online Posts

Automatically generating short summaries from users' online mental healt...

0 Sajad Sotudeh, et al. ∙

research

∙ 11/11/2022

MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detection

Event Detection (ED) is the task of identifying and classifying trigger ...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 11/11/2022

MEE: A Novel Multilingual Event Extraction Dataset

Event Extraction (EE) is one of the fundamental tasks in Information Ext...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 11/01/2022

User-Entity Differential Privacy in Learning Natural Language Models

In this paper, we introduce a novel concept of user-entity differential ...

0 Phung Lai, et al. ∙

research

∙ 10/12/2022

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos

Livestream videos have become a significant part of online learning, whe...

0 Jielin Qiu, et al. ∙

research

∙ 10/10/2022

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment

Multimedia summarization with multimodal output (MSMO) is a recently exp...

9 Jielin Qiu, et al. ∙

research

∙ 09/11/2022

Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering

Streaming videos is one of the methods for creators to share their creat...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 09/11/2022

Improving Keyphrase Extraction with Data Augmentation and Information Filtering

Keyphrase extraction is one of the essential tasks for document understa...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 06/30/2022

Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations

We propose a margin-based loss for vision-language model pretraining tha...

0 Ziyan Yang, et al. ∙

research

∙ 05/26/2022

Fine-grained Image Captioning with CLIP Reward

Modern image captioning models are usually trained with text similarity ...

8 Jaemin Cho, et al. ∙

research

∙ 04/26/2022

Symlink: A New Dataset for Scientific Symbol-Description Linking

Mathematical symbols and descriptions appear in various forms across doc...

0 Viet Dac Lai, et al. ∙

research

∙ 04/18/2022

Factual Error Correction for Abstractive Summaries Using Entity Retrieval

Despite the recent advancements in abstractive summarization systems lev...

0 Hwanhee Lee, et al. ∙

research

∙ 04/07/2022

MHMS: Multimodal Hierarchical Multimedia Summarization

Multimedia summarization with multimodal output can play an essential ro...

0 Jielin Qiu, et al. ∙

research

∙ 03/20/2022

Enriching Unsupervised User Embedding via Medical Concepts

Clinical notes in Electronic Health Records (EHR) present rich documente...

0 Xiaolei Huang, et al. ∙

research

∙ 02/24/2022

CAISE: Conversational Agent for Image Search and Editing

Demand for image editing has been increasing as users' desire for expres...

2 Hyounghun Kim, et al. ∙

research

∙ 02/19/2022

Punctuation Restoration

Given the increasing number of livestreaming videos, automatic speech re...

0 Viet Dac Lai, et al. ∙

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...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 10/05/2021

Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) is an NLP task that entails proce...

0 Siva Uday Sampreeth Chebolu, et al. ∙

research

∙ 10/04/2021

TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts

Recent models in developing summarization systems consist of millions of...

0 Sajad Sotudeh, et al. ∙

research

∙ 09/11/2021

StreamHover: Livestream Transcript Summarization and Annotation

With the explosive growth of livestream broadcasting, there is an urgent...

0 Sangwoo Cho, et al. ∙

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...

0 Hwanhee Lee, et al. ∙

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...

0 Hwanhee Lee, et al. ∙

research

∙ 06/24/2021

Learning by Planning: Language-Guided Global Image Editing

Recently, language-guided global image editing draws increasing attentio...

0 Jing Shi, et al. ∙

research

∙ 04/20/2021

X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering

Multilingual models, such as M-BERT and XLM-R, have gained increasing po...

11 Meryem M'hamdi, et al. ∙

research

∙ 04/14/2021

IGA : An Intent-Guided Authoring Assistant

While large-scale pretrained language models have significantly improved...

0 Simeng Sun, et al. ∙

research

∙ 04/04/2021

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

Event coreference resolution is an important research problem with many ...

0 Tuan Lai, et al. ∙

research

∙ 03/11/2021

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models

Recent studies indicate that NLU models are prone to rely on shortcut fe...

0 Mengnan Du, et al. ∙

research

∙ 02/22/2021

User Factor Adaptation for User Embedding via Multitask Learning

Language varies across users and their interested fields in social media...

0 Xiaolei Huang, et al. ∙

research

∙ 01/25/2021

MadDog: A Web-based System for Acronym Identification and Disambiguation

Acronyms and abbreviations are the short-form of longer phrases and they...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 12/22/2020

Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding

Acronyms are the short forms of longer phrases and they are frequently u...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 11/05/2020

Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering

Interpretability and explainability of deep neural networks are challeng...

0 Quan Tran, et al. ∙

research

∙ 10/28/2020

What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation

Acronyms are the short forms of phrases that facilitate conveying length...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 10/26/2020

Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

Aspect-based Sentiment Analysis (ABSA) seeks to predict the sentiment po...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 10/26/2020

Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning

Targeted opinion word extraction (TOWE) is a sub-task of aspect based se...

0 Amir Pouran Ben Veyseh, et al. ∙

research

∙ 10/08/2020

Learning to Fuse Sentences with Transformers for Summarization

The ability to fuse sentences is highly attractive for summarization sys...

0 Logan Lebanoff, et al. ∙

research

∙ 10/08/2020

A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion

We present an empirical study in favor of a cascade architecture to neur...

0 Logan Lebanoff, et al. ∙

Franck Dernoncourt

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