Lea Frermann

According to our database, Lea Frermann authored at least 45 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Connecting the Dots in News Analysis: A Cross-Disciplinary Survey of Media Bias and Framing.

Gisela Vallejo, Timothy Baldwin, Lea Frermann

CoRR, 2023

ML-NLPEmot: Machine Learning-Natural Language Processing Event-Based Emotion Detection Proactive Framework Addressing Mental Health.

Leila Ismail, Nada Shahin, Huned Materwala, Alain Hennebelle, Lea Frermann

IEEE Access, 2023

Seeking Clozure: Robust Hypernym extraction from BERT with Anchored Prompts.

Chunhua Liu, Trevor Cohn, Lea Frermann

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

It's not only What You Say, It's also Who It's Said to: Counterfactual Analysis of Interactive Behavior in the Courtroom.

Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

More than Votes? Voting and Language based Partisanship in the US Supreme Court.

Biaoyan Fang, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Probing Power by Prompting: Harnessing Pre-trained Language Models for Power Connotation Framing.

Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Lea Frermann

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

A Large-Scale Multilingual Study of Visual Constraints on Linguistic Selection of Descriptions.

Uri Berger, Lea Frermann, Gabriel Stanovsky, Omri Abend

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing.

Lea Frermann, Jiatong Li, Shima Khanehzar, Gosia Mikolajczak

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The uncivil empathy: Investigating the relation between empathy and toxicity in online mental health support forums.

Ming-Bin Chen, Jey Han Lau, Lea Frermann

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022

Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs.

Jinrui Yang, Sheilla Njoto, Marc Cheong, Leah Ruppanner, Lea Frermann

CoRR, 2022

fairlib: A Unified Framework for Assessing and Improving Classification Fairness.

Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn

CoRR, 2022

Optimising Equal Opportunity Fairness in Model Training.

Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data.

Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Computational Acquisition Model for Multimodal Word Categorization.

Uri Berger, Gabriel Stanovsky, Omri Abend, Lea Frermann

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Does Representational Fairness Imply Empirical Fairness?

Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

WAX: A New Dataset for Word Association eXplanations.

Chunhua Liu, Trevor Cohn, Simon De Deyne, Lea Frermann

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Systematic Evaluation of Predictive Fairness.

Xudong Han, Aili Shen, Trevor Cohn, Timothy Baldwin, Lea Frermann

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

FairLib: A Unified Framework for Assessing and Improving Fairness.

Xudong Han, Aili Shen, Yitong Li, Lea Frermann, Timothy Baldwin, Trevor Cohn

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Contrastive Learning for Fair Representations.

Aili Shen, Xudong Han, Trevor Cohn, Timothy Baldwin, Lea Frermann

CoRR, 2021

PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging.

Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames.

Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Evaluating Debiasing Techniques for Intersectional Biases.

Shivashankar Subramanian, Xudong Han, Timothy Baldwin, Trevor Cohn, Lea Frermann

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Fairness-aware Class Imbalanced Learning.

Shivashankar Subramanian, Afshin Rahimi, Timothy Baldwin, Trevor Cohn, Lea Frermann

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation.

Kemal Kurniawan, Lea Frermann, Philip Schulz, Trevor Cohn

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Commonsense Knowledge in Word Associations and ConceptNet.

Chunhua Liu, Trevor Cohn, Lea Frermann

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

Categorization in the Wild: Category and Feature Learning across Languages.

Lea Frermann, Mirella Lapata

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

Screenplay Summarization Using Latent Narrative Structure.

Pinelopi Papalampidi, Frank Keller, Lea Frermann, Mirella Lapata

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A Probabilistic Framework for Learning Domain Specific Hierarchical Word Embeddings.

Lahari Poddar, György Szarvas, Lea Frermann

CoRR, 2019

BookQA: Stories of Challenges and Opportunities.

Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez

CoRR, 2019

Categorization in the Wild: Generalizing Cognitive Models to Naturalistic Data across Languages.

Lea Frermann, Mirella Lapata

CoRR, 2019

Partners in Crime: Multi-view Sequential Inference for Movie Understanding.

Nikos Papasarantopoulos, Lea Frermann, Mirella Lapata, Shay B. Cohen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Inducing Document Structure for Aspect-based Summarization.

Lea Frermann, Alexandre Klementiev

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Extractive NarrativeQA with Heuristic Pre-Training.

Lea Frermann

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Book QA: Stories of Challenges and Opportunities.

Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Whodunnit? Crime Drama as a Case for Natural Language Understanding.

Lea Frermann, Shay B. Cohen, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2018

Unsupervised Induction of Linguistic Categories with Records of Reading, Speaking, and Writing.

Maria Barrett, Ana Valeria González-Garduño, Lea Frermann, Anders Søgaard

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Bayesian models of category acquisition and meaning development.

Lea Frermann

PhD thesis, 2017

Prosodic Features from Large Corpora of Child-Directed Speech as Predictors of the Age of Acquisition of Words.

Lea Frermann, Michael C. Frank

CoRR, 2017

Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels.

Lea Frermann, György Szarvas

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

A Bayesian Model of Diachronic Meaning Change.

Lea Frermann, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2016

Incremental Bayesian Category Learning From Natural Language.

Lea Frermann, Mirella Lapata

Cogn. Sci., 2016

2015

A Bayesian Model for Joint Learning of Categories and their Features.

Lea Frermann, Mirella Lapata

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

A Hierarchical Bayesian Model for Unsupervised Induction of Script Knowledge.

Lea Frermann, Ivan Titov, Manfred Pinkal

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Incremental Bayesian Learning of Semantic Categories.

Lea Frermann, Mirella Lapata

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2012

Cross-lingual Parse Disambiguation based on Semantic Correspondence.

Lea Frermann, Francis Bond

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012