NLPExplorer

Frank Rudzicz

Number of Papers:- 57

Number of Citations:- 17

First ACL Paper:- 2006

Latest ACL Paper:- 2024

Venues:-

NAACL

BioNLP

NLP4ConvAI

ClinicalNLP

BlackboxNLP

CLPsych

COLING

SLPAT

EMNLP

Findings

SIGMORPHON

WNUT

LREC

CMCL

ACL

LTEDI

IJCNLP

Co-Authors:-

Similar Authors:-

Long-form evaluation of model editing NAACL

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation NAACL

Xindi Wang | Robert Mercer | Frank Rudzicz |

Immunization against harmful fine-tuning attacks F i n d i n g s - E M N L P

Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification F i n d i n g s - E M N L P

Sudipta Singha Roy | Xindi Wang | Robert Mercer | Frank Rudzicz |

A State-Vector Framework for Dataset Effects EMNLP

Esmat Sahak | Zining Zhu | Frank Rudzicz |

Improving Automatic Quotation Attribution in Literary Novels ACL

Krishnapriya Vishnubhotla | Frank Rudzicz | Graeme Hirst | Adam Hammond |

Neural reality of argument structure constructions ACL

On the data requirements of probing ACL Findings

Zining Zhu | Jixuan Wang | Bai Li | Frank Rudzicz |

Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation ACL BioNLP

Hillary Ngai | Frank Rudzicz |

Relevance in Dialogue: Is Less More? An Empirical Comparison of Existing Metrics, and a Novel Simple Metric ACL NLP4ConvAI

Ian Berlot-Attwell | Frank Rudzicz |

KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling ACL

Xindi Wang | Robert Mercer | Frank Rudzicz |

Detoxifying Language Models with a Toxic Corpus ACL LTEDI

Yoona Park | Frank Rudzicz |

MeSHup: Corpus for Full Text Biomedical Document Indexing LREC

Xindi Wang | Robert E. Mercer | Frank Rudzicz |

Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data COLING WNUT WS

Malikeh Ehghaghi | Frank Rudzicz | Jekaterina Novikova |

Predicting Fine-Tuning Performance with Probing EMNLP

Zining Zhu | Soroosh Shahtalebi | Frank Rudzicz |

TorontoCL at CMCL 2021 Shared Task: RoBERTa with Multi-Stage Fine-Tuning for Eye-Tracking Prediction CMCL NAACL

Bai Li | Frank Rudzicz |

How is BERT surprised? Layerwise detection of linguistic anomalies ACL IJCNLP

An Evaluation of Disentangled Representation Learning for Texts Findings

Krishnapriya Vishnubhotla | Graeme Hirst | Frank Rudzicz |

An unsupervised framework for tracing textual sources of moral change EMNLP Findings

Aida Ramezani | Zining Zhu | Frank Rudzicz | Yang Xu |

Representation Learning for Discovering Phonemic Tone Contours ACL SIGMORPHON WS

Bai Li | Jing Yi Xie | Frank Rudzicz |

Examining the rhetorical capacities of neural language models BlackboxNLP EMNLP

Zining Zhu | Chuer Pan | Mohamed Abdalla | Frank Rudzicz |

On Losses for Modern Language Models EMNLP

Stéphane Aroca-Ouellette | Frank Rudzicz |

An information theoretic view on selecting linguistic probes EMNLP

Zining Zhu | Frank Rudzicz |

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP ClinicalNLP EMNLP

Explainable Clinical Decision Support from Text EMNLP

Jinyue Feng | Chantal Shaib | Frank Rudzicz |

Word class flexibility: A deep contextualized approach EMNLP

Bai Li | Guillaume Thomas | Yang Xu | Frank Rudzicz |

Identification of Primary and Collateral Tracks in Stuttered Speech LREC

Rachid Riad | Anne-Catherine Bachoud-Lévi | Frank Rudzicz | Emmanuel Dupoux |

Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power EMNLP WS

Jekaterina Novikova | Aparna Balagopalan | Ksenia Shkaruta | Frank Rudzicz |

Extracting relevant information from physician-patient dialogues for automated clinical note taking EMNLP WS

Detecting cognitive impairments by agreeing on interpretations of linguistic features NAACL

Zining Zhu | Jekaterina Novikova | Frank Rudzicz |

Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus NAACL

Bai Li | Yi-Te Hsu | Frank Rudzicz |

Multilingual prediction of Alzheimer’s disease through domain adaptation and concept-based language modelling NAACL

Augmenting word2vec with latent Dirichlet allocation within a clinical application NAACL

Akshay Budhkar | Frank Rudzicz |

How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT’s destruction NAACL WS

Predicting ICU transfers using text messages between nurses and doctors NAACL WS

Faiza Khan Khattak | Chloé Pou-Prom | Robert Wu | Frank Rudzicz |

Generative Adversarial Networks for Text Using Word2vec Intermediaries ACL WS

Akshay Budhkar | Krishnapriya Vishnubhotla | Safwan Hossain | Frank Rudzicz |

Learning multiview embeddings for assessing dementia EMNLP

Chloé Pou-Prom | Frank Rudzicz |

Identifying and Avoiding Confusion in Dialogue with People with Alzheimer’s Disease CL

Detecting Anxiety through Reddit CLPsych WS

Judy Hanwen Shen | Frank Rudzicz |

Vector-space topic models for detecting Alzheimer’s disease ACL

Maria Yancheva | Frank Rudzicz |

Detecting late-life depression in Alzheimer’s disease through analysis of speech and language WS

Kathleen C. Fraser | Frank Rudzicz | Graeme Hirst |

Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies SLPAT WS

Automatic dysfluency detection in dysarthric speech using deep belief networks SLPAT WS

Stacey Oue | Ricard Marxer | Frank Rudzicz |

Remote Speech Technology for Speech Professionals - the CloudCAST initiative SLPAT WS

Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias SLPAT WS

Maria Yancheva | Kathleen Fraser | Frank Rudzicz |