Search Results for author: Cornelia Caragea

Found 48 papers, 15 papers with code

CancerEmo: A Dataset for Fine-Grained Emotion Detection

no code implementations EMNLP 2020 Tiberiu Sosea, Cornelia Caragea

Emotions are an important element of human nature, often affecting the overall wellbeing of a person.

Knowledge Distillation with BERT for Image Tag-Based Privacy Prediction

no code implementations RANLP 2021 Chenye Zhao, Cornelia Caragea

Moreover, we utilize the idea of knowledge distillation to improve tag representations in a semi-supervised learning task.

Knowledge Distillation TAG

On the Use of Web Search to Improve Scientific Collections

no code implementations EMNLP (sdp) 2020 Krutarth Patel, Cornelia Caragea, Sujatha Das Gollapalli

We were able to obtain ~267, 000 unique research papers through our fully-automated framework using ~76, 000 queries, resulting in almost 200, 000 more papers than the number of queries.

Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation

1 code implementation EMNLP 2021 Yingjie Li, Chenye Zhao, Cornelia Caragea

To address these challenges, first, we evaluate a multi-target and a multi-dataset training settings by training one model on each dataset and datasets of different domains, respectively.

Knowledge Distillation Stance Detection

A Data Cartography based MixUp for Pre-trained Language Models

1 code implementation6 May 2022 Seo Yeon Park, Cornelia Caragea

MixUp is a data augmentation strategy where additional samples are generated during training by combining random pairs of training samples and their labels.

Data Augmentation Language Modelling

SciNLI: A Corpus for Natural Language Inference on Scientific Text

1 code implementation ACL 2022 Mobashir Sadat, Cornelia Caragea

Existing Natural Language Inference (NLI) datasets, while being instrumental in the advancement of Natural Language Understanding (NLU) research, are not related to scientific text.

Natural Language Inference Natural Language Understanding

On the Evaluation of Answer-Agnostic Paragraph-level Multi-Question Generation

1 code implementation9 Mar 2022 Jishnu Ray Chowdhury, Debanjan Mahata, Cornelia Caragea

Second, we compare different strategies to utilize a pre-trained seq2seq model to generate and select a set of questions related to a given paragraph.

Question Generation

Keyphrase Generation Beyond the Boundaries of Title and Abstract

no code implementations13 Dec 2021 Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea

We discover that adding sentences from the full text particularly in the form of summary of the article can significantly improve the generation of both types of keyphrases that are either present or absent from the title and abstract.

Keyphrase Generation

KPDrop: An Approach to Improving Absent Keyphrase Generation

no code implementations2 Dec 2021 Seoyeon Park, Jishnu Ray Chowdhury, Tuhin Kundu, Cornelia Caragea

Keyphrase generation is the task of generating phrases (keyphrases) that summarize the main topics of a given document.

Keyphrase Generation

Generating Summaries for Scientific Paper Review

no code implementations28 Sep 2021 Ana Sabina Uban, Cornelia Caragea

In this paper, we explore automatic review summary generation for scientific papers.

DeepZensols: Deep Natural Language Processing Framework

3 code implementations8 Sep 2021 Paul Landes, Barbara Di Eugenio, Cornelia Caragea

Reproducing results in publications by distributing publicly available source code is becoming ever more popular.

Stance Detection in COVID-19 Tweets

no code implementations ACL 2021 Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, Cornelia Caragea

The prevalence of the COVID-19 pandemic in day-to-day life has yielded large amounts of stance detection data on social media sites, as users turn to social media to share their views regarding various issues related to the pandemic, e. g. stay at home mandates and wearing face masks when out in public.

Domain Adaptation Stance Detection

eMLM: A New Pre-training Objective for Emotion Related Tasks

1 code implementation ACL 2021 Tiberiu Sosea, Cornelia Caragea

BERT has been shown to be extremely effective on a wide variety of natural language processing tasks, including sentiment analysis and emotion detection.

Language Modelling Sentiment Analysis

Emotion analysis and detection during COVID-19

no code implementations23 Jul 2021 Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li

Crises such as natural disasters, global pandemics, and social unrest continuously threaten our world and emotionally affect millions of people worldwide in distinct ways.

Domain Adaptation Emotion Recognition

Modeling Hierarchical Structures with Continuous Recursive Neural Networks

1 code implementation10 Jun 2021 Jishnu Ray Chowdhury, Cornelia Caragea

We also show that CRvNN performs comparably or better than prior latent structure models on real-world tasks such as sentiment analysis and natural language inference.

Natural Language Inference Sentiment Analysis

Target-Aware Data Augmentation for Stance Detection

no code implementations NAACL 2021 Yingjie Li, Cornelia Caragea

The goal of stance detection is to identify whether the author of a text is in favor of, neutral or against a specific target.

Data Augmentation Language Modelling +2

Identifying Medical Self-Disclosure in Online Communities

no code implementations NAACL 2021 Mina Valizadeh, Pardis Ranjbar-Noiey, Cornelia Caragea, Natalie Parde

Self-disclosure in online health conversations may offer a host of benefits, including earlier detection and treatment of medical issues that may have otherwise gone unaddressed.

Exploiting Position and Contextual Word Embeddings for Keyphrase Extraction from Scientific Papers

no code implementations EACL 2021 Krutarth Patel, Cornelia Caragea

Keyphrases associated with research papers provide an effective way to find useful information in the large and growing scholarly digital collections.

Keyphrase Extraction Word Embeddings

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning

no code implementations COLING 2020 Seoyeon Park, Cornelia Caragea

Scientific keyphrase identification and classification is the task of detecting and classifying keyphrases from scholarly text with their types from a set of predefined classes.

Classification POS +1

Identifying Documents In-Scope of a Collection from Web Archives

no code implementations2 Sep 2020 Krutarth Patel, Cornelia Caragea, Mark Phillips, Nathaniel Fox

Web archive data usually contains high-quality documents that are very useful for creating specialized collections of documents, e. g., scientific digital libraries and repositories of technical reports.

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

no code implementations6 Aug 2020 Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu

Unlike most other QA tasks that focus on linguistic understanding, HeadQA requires deeper reasoning involving not only knowledge extraction, but also complex reasoning with healthcare knowledge.

Multiple-choice Question Answering

Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup

1 code implementation ACL 2020 Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Distinguishing informative and actionable messages from a social media platform like Twitter is critical for facilitating disaster management.

General Classification Multi-Label Classification

Dynamic Classification in Web Archiving Collections

no code implementations LREC 2020 Krutarth Patel, Cornelia Caragea, Mark Phillips

The Web archived data usually contains high-quality documents that are very useful for creating specialized collections of documents.

Classification General Classification

Detecting Perceived Emotions in Hurricane Disasters

1 code implementation ACL 2020 Shrey Desai, Cornelia Caragea, Junyi Jessy Li

Natural disasters (e. g., hurricanes) affect millions of people each year, causing widespread destruction in their wake.

On Identifying Hashtags in Disaster Twitter Data

1 code implementation5 Jan 2020 Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Moreover, only a small number of tweets that contain actionable hashtags are useful for disaster response.

Disaster Response Multi-Task Learning

The Myth of Double-Blind Review Revisited: ACL vs. EMNLP

no code implementations IJCNLP 2019 Cornelia Caragea, Ana Uban, Liviu P. Dinu

We study this question on the ACL and EMNLP paper collections and present an analysis on how well deep learning techniques can infer the authors of a paper.

Keyphrase Extraction from Disaster-related Tweets

no code implementations17 Oct 2019 Jishnu Ray Chowdhury, Cornelia Caragea, Doina Caragea

Previously, joint training of two different layers of a stacked Recurrent Neural Network for keyword discovery and keyphrase extraction had been shown to be effective in extracting keyphrases from general Twitter data.

Keyphrase Extraction POS +1

Image Privacy Prediction Using Deep Neural Networks

1 code implementation8 Mar 2019 Ashwini Tonge, Cornelia Caragea

Thus, automatically predicting images' privacy to warn users about private or sensitive content before uploading these images on social networking sites has become a necessity in our current interconnected world.

Object Recognition TAG

Dynamic Deep Multi-modal Fusion for Image Privacy Prediction

no code implementations27 Feb 2019 Ashwini Tonge, Cornelia Caragea

In this paper, we propose an approach for fusing object, scene context, and image tags modalities derived from convolutional neural networks for accurately predicting the privacy of images shared online.

Fine-Grained Emotion Detection in Health-Related Online Posts

no code implementations EMNLP 2018 Hamed Khanpour, Cornelia Caragea

Detecting fine-grained emotions in online health communities provides insightful information about patients{'} emotional states.

Emotion Recognition

Exploring Optimism and Pessimism in Twitter Using Deep Learning

no code implementations EMNLP 2018 Cornelia Caragea, Liviu P. Dinu, Bogdan Dumitru

Identifying optimistic and pessimistic viewpoints and users from Twitter is useful for providing better social support to those who need such support, and for minimizing the negative influence among users and maximizing the spread of positive attitudes and ideas.

Identifying Empathetic Messages in Online Health Communities

no code implementations IJCNLP 2017 Hamed Khanpour, Cornelia Caragea, Prakhar Biyani

Empathy captures one{'}s ability to correlate with and understand others{'} emotional states and experiences.

PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents

no code implementations ACL 2017 Corina Florescu, Cornelia Caragea

In this paper, we propose PositionRank, an unsupervised model for keyphrase extraction from scholarly documents that incorporates information from all positions of a word{'}s occurrences into a biased PageRank.

Information Retrieval Keyphrase Extraction

Privacy Prediction of Images Shared on Social Media Sites Using Deep Features

no code implementations29 Oct 2015 Ashwini Tonge, Cornelia Caragea

In this paper, we present an approach to image privacy prediction that uses deep features and deep image tags as feature representations.

Entity-Specific Sentiment Classification of Yahoo News Comments

no code implementations11 Jun 2015 Prakhar Biyani, Cornelia Caragea, Narayan Bhamidipati

However, the problem of classifying the sentiment of user comments on news sites has not been addressed yet.

Classification General Classification +1

Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks

no code implementations25 Jan 2014 Shibamouli Lahiri, Sagnik Ray Choudhury, Cornelia Caragea

Keyword and keyphrase extraction is an important problem in natural language processing, with applications ranging from summarization to semantic search to document clustering.

Keyphrase Extraction

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