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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...
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09/16/2023
PDFTriage: Question Answering over Long, Structured Documents
Large Language Models (LLMs) have issues with document question answerin...
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09/15/2023
Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning
Multilingual semantic search is the task of retrieving relevant contents...
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09/07/2023
TaleStream: Supporting Story Ideation with Trope Knowledge
Story ideation is a critical part of the story-writing process. It is ch...
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09/02/2023
Bias and Fairness in Large Language Models: A Survey
Rapid advancements of large language models (LLMs) have enabled the proc...
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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...
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07/24/2023
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning
Punctuation restoration is an important task in automatic speech recogni...
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07/23/2023
Learning Navigational Visual Representations with Semantic Map Supervision
Being able to perceive the semantics and the spatial structure of the en...
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07/08/2023
Fairness-Aware Graph Neural Networks: A Survey
Graph Neural Networks (GNNs) have become increasingly important due to t...
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06/02/2023
Efficient Spoken Language Recognition via Multilabel Classification
Spoken language recognition (SLR) is the task of automatically identifyi...
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05/27/2023
MeetingBank: A Benchmark Dataset for Meeting Summarization
As the number of recorded meetings increases, it becomes increasingly im...
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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...
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02/15/2023
Envisioning the Next-Gen Document Reader
People read digital documents on a daily basis to share, exchange, and u...
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02/02/2023
Curriculum-Guided Abstractive Summarization
Recent Transformer-based summarization models have provided a promising ...
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02/02/2023
Curriculum-guided Abstractive Summarization for Mental Health Online Posts
Automatically generating short summaries from users' online mental healt...
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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 ...
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11/11/2022
MEE: A Novel Multilingual Event Extraction Dataset
Event Extraction (EE) is one of the fundamental tasks in Information Ext...
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11/01/2022
User-Entity Differential Privacy in Learning Natural Language Models
In this paper, we introduce a novel concept of user-entity differential ...
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10/12/2022
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos
Livestream videos have become a significant part of online learning, whe...
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10/10/2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
Multimedia summarization with multimodal output (MSMO) is a recently exp...
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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...
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09/11/2022
Improving Keyphrase Extraction with Data Augmentation and Information Filtering
Keyphrase extraction is one of the essential tasks for document understa...
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06/30/2022
Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations
We propose a margin-based loss for vision-language model pretraining tha...
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05/26/2022
Fine-grained Image Captioning with CLIP Reward
Modern image captioning models are usually trained with text similarity ...
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04/26/2022
Symlink: A New Dataset for Scientific Symbol-Description Linking
Mathematical symbols and descriptions appear in various forms across doc...
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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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04/07/2022
MHMS: Multimodal Hierarchical Multimedia Summarization
Multimedia summarization with multimodal output can play an essential ro...
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03/20/2022
Enriching Unsupervised User Embedding via Medical Concepts
Clinical notes in Electronic Health Records (EHR) present rich documente...
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02/24/2022
CAISE: Conversational Agent for Image Search and Editing
Demand for image editing has been increasing as users' desire for expres...
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02/19/2022
Punctuation Restoration
Given the increasing number of livestreaming videos, automatic speech re...
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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...
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10/05/2021
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is an NLP task that entails proce...
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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...
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09/11/2021
StreamHover: Livestream Transcript Summarization and Annotation
With the explosive growth of livestream broadcasting, there is an urgent...
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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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06/24/2021
Learning by Planning: Language-Guided Global Image Editing
Recently, language-guided global image editing draws increasing attentio...
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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...
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04/14/2021
IGA : An Intent-Guided Authoring Assistant
While large-scale pretrained language models have significantly improved...
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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 ...
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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...
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02/22/2021
User Factor Adaptation for User Embedding via Multitask Learning
Language varies across users and their interested fields in social media...
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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...
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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...
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11/05/2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering
Interpretability and explainability of deep neural networks are challeng...
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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...
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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...
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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...
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10/08/2020
Learning to Fuse Sentences with Transformers for Summarization
The ability to fuse sentences is highly attractive for summarization sys...
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10/08/2020