NLPExplorer

Erik Cambria

Number of Papers:- 58

Number of Citations:- 75

First ACL Paper:- 2011

Latest ACL Paper:- 2024

Venues:-

NAACL

ClinicalNLP

COLING

EMNLP

SocialNLP

SemEval

LREC

GWC

maiworkshop

ACL

EACL

*SEMEVAL

nlpbt

Co-Authors:-

Similar Authors:-

Kohei Ohara

Suilen Hernandez Alvarado

Pedro Aniel Sanchez Mirabal

Yarelis Ruano Torres

Xiangwen Liao

SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations SemEval

SemEval 2024 - Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF) SemEval

Shivani Kumar | Md. Shad Akhtar | Erik Cambria | Tanmoy Chakraborty |

Language Models as Inductive Reasoners EACL

How Interpretable are Reasoning Explanations from Prompting Large Language Models? F i n d i n g s - N A A C L

Yeo Wei Jie | Ranjan Satapathy | Rick Goh | Erik Cambria |

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery F i n d i n g s - A C L

Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements ACL

Plausible Extractive Rationalization through Semi-Supervised Entailment Signal F i n d i n g s - A C L

Yeo Wei Jie | Ranjan Satapathy | Erik Cambria |

EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot ACL

MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling F i n d i n g s - A C L

SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis F i n d i n g s - A C L

Xulang Zhang | Rui Mao | Erik Cambria |

Prompted Aspect Key Point Analysis for Quantitative Review Summarization ACL

An Tang | Xiuzhen Zhang | Minh Dinh | Erik Cambria |

Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis F i n d i n g s - E M N L P

Self-training Large Language Models through Knowledge Detection F i n d i n g s - E M N L P

Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective EMNLP

End-to-end Case-Based Reasoning for Commonsense Knowledge Base Completion EACL

Zonglin Yang | Xinya Du | Erik Cambria | Claire Cardie |

Task-Aware Self-Supervised Framework for Dialogue Discourse Parsing F i n d i n g s - E M N L P

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning ACL

Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning ACL

MetaPro Online: A Computational Metaphor Processing Online System ACL

Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation F i n d i n g s - E M N L P

Xulang Zhang | Rui Mao | Kai He | Erik Cambria |

PAED: Zero-Shot Persona Attribute Extraction in Dialogues ACL

Finding the Pillars of Strength for Multi-Head Attention ACL

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

ConNER: Consistency Training for Cross-lingual Named Entity Recognition EMNLP

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

WME 3.0: An Enhanced and Validated Lexicon of Medical Concepts GWC

Anupam Mondal | Dipankar Das | Erik Cambria | Sivaji Bandyopadhyay |

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 |

WME: Sense, Polarity and Affinity based Concept Resource for Medical Events GWC

Anupam Mondal | Dipankar Das | Erik Cambria | Sivaji Bandyopadhyay |

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

Soujanya Poria | Erik Cambria | Alexander Gelbukh |