NLPExplorer

Erik Cambria

Number of Papers:- 33

Number of Citations:- 75

First ACL Paper:- 2011

Latest ACL Paper:- 2022

Venues:-

SocialNLP

SemEval

NAACL

LREC

nlpbt

ACL

*SEMEVAL

COLING

ClinicalNLP

maiworkshop

EMNLP

Co-Authors:-

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Suilen Hernandez Alvarado

Pedro Aniel Sanchez Mirabal

Yarelis Ruano Torres

Xiangwen Liao

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ACL

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare LREC

Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings COLING

Sooji Han | Rui Mao | Erik Cambria |

SenticNet 7: A Commonsense-based Neurosymbolic AI Framework for Explainable Sentiment Analysis LREC

Proceedings of the Third Workshop on Multimodal Artificial Intelligence NAACL maiworkshop

Financial Sentiment Analysis: An Investigation into Common Mistakes and Silver Bullets COLING

Frank Xing | Lorenzo Malandri | Yue Zhang | Erik Cambria |

JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation COLING SemEval

Ali Fadel | Mahmoud Al-Ayyoub | Erik Cambria |

Proceedings of the First International Workshop on Natural Language Processing Beyond Text EMNLP nlpbt

Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text ClinicalNLP EMNLP

Shaoxiong Ji | Erik Cambria | Pekka Marttinen |

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations ACL

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications ACL

Business Taxonomy Construction Using Concept-Level Hierarchical Clustering WS

Haodong Bai | Frank Xing | Erik Cambria | Win-Bin Huang |

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums COLING

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection EMNLP

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis EMNLP

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos NAACL

Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis NAACL

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph ACL

Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML) ACL WS

Tensor Fusion Network for Multimodal Sentiment Analysis EMNLP

Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules ACL

Xiaoshi Zhong | Aixin Sun | Erik Cambria |

Context-Dependent Sentiment Analysis in User-Generated Videos ACL

Label Embedding for Zero-shot Fine-grained Named Entity Typing COLING

Yukun Ma | Erik Cambria | Sa Gao |

A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks COLING

Soujanya Poria | Erik Cambria | Devamanyu Hazarika | Prateek Vij |

SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives COLING

Erik Cambria | Soujanya Poria | Rajiv Bajpai | Bjoern Schuller |

Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis EMNLP

Soujanya Poria | Erik Cambria | Alexander Gelbukh |