research
∙
08/17/2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
We introduce MarginMatch, a new SSL approach combining consistency regul...
share
research
∙
08/16/2023
Sarcasm Detection in a Disaster Context
During natural disasters, people often use social media platforms such a...
research
∙
07/20/2023
Efficient Beam Tree Recursion
Beam Tree Recursive Neural Network (BT-RvNN) was recently proposed as a ...
research
∙
06/02/2023
Unsupervised Extractive Summarization of Emotion Triggers
Understanding what leads to emotions during large-scale crises is import...
research
∙
05/31/2023
Monotonic Location Attention for Length Generalization
We explore different ways to utilize position-based cross-attention in s...
research
∙
05/31/2023
Beam Tree Recursive Cells
We propose Beam Tree Recursive Cell (BT-Cell) - a backpropagation-friend...
research
∙
05/19/2023
DMDD: A Large-Scale Dataset for Dataset Mentions Detection
The recognition of dataset names is a critical task for automatic inform...
research
∙
04/27/2023
Neural Keyphrase Generation: Analysis and Evaluation
Keyphrase generation aims at generating topical phrases from a given tex...
research
∙
04/24/2023
Semantic Tokenizer for Enhanced Natural Language Processing
Traditionally, NLP performance improvement has been focused on improving...
research
∙
11/05/2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
Natural Language Inference (NLI) or Recognizing Textual Entailment (RTE)...
research
∙
11/05/2022
Hierarchical Multi-Label Classification of Scientific Documents
Automatic topic classification has been studied extensively to assist ma...
research
∙
10/22/2022
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts
Crises such as the COVID-19 pandemic continuously threaten our world and...
research
∙
05/06/2022
A Data Cartography based MixUp for Pre-trained Language Models
MixUp is a data augmentation strategy where additional samples are gener...
research
∙
03/14/2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
A well-calibrated neural model produces confidence (probability outputs)...
research
∙
03/13/2022
SciNLI: A Corpus for Natural Language Inference on Scientific Text
Existing Natural Language Inference (NLI) datasets, while being instrume...
research
∙
03/09/2022
On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation
We study the task of predicting a set of salient questions from a given ...
research
∙
12/13/2021
Keyphrase Generation Beyond the Boundaries of Title and Abstract
Keyphrase generation aims at generating phrases (keyphrases) that best d...
research
∙
12/02/2021
KPDrop: An Approach to Improving Absent Keyphrase Generation
Keyphrase generation is the task of generating phrases (keyphrases) that...
research
∙
09/28/2021
Generating Summaries for Scientific Paper Review
The review process is essential to ensure the quality of publications. R...
research
∙
09/08/2021
DeepZensols: Deep Natural Language Processing Framework
Reproducing results in publications by distributing publicly available s...
research
∙
07/23/2021
When a crisis strikes: Emotion analysis and detection during COVID-19
Crises such as natural disasters, global pandemics, and social unrest co...
research
∙
06/10/2021
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
Recursive Neural Networks (RvNNs), which compose sequences according to ...
research
∙
09/02/2020
Identifying Documents In-Scope of a Collection from Web Archives
Web archive data usually contains high-quality documents that are very u...
research
∙
08/06/2020
Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering
Healthcare question answering assistance aims to provide customer health...
research
∙
04/29/2020
Detecting Perceived Emotions in Hurricane Disasters
Natural disasters (e.g., hurricanes) affect millions of people each year...
research
∙
01/05/2020
On Identifying Hashtags in Disaster Twitter Data
Tweet hashtags have the potential to improve the search for information ...
research
∙
10/17/2019
Keyphrase Extraction from Disaster-related Tweets
While keyphrase extraction has received considerable attention in recent...
research
∙
06/20/2019
Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets
Automatically extracted metadata from scholarly documents in PDF formats...
research
∙
03/08/2019
Image Privacy Prediction Using Deep Neural Networks
Images today are increasingly shared online on social networking sites s...
research
∙
02/27/2019