Esma Balkır

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All published works

Action	Title	Year	Authors
+	This Prompt is Measuring : Evaluating Bias Evaluation in Language Models	2023	Seraphina Goldfarb-Tarrant Eddie L. Ungless Esma Balkır Su Lin Blodgett
+	Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers	2023	Isar Nejadgholi Svetlana Kiritchenko Kathleen Fraser Esma Balkır
+	Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers	2023	Isar Nejadgholi Svetlana Kiritchenko Kathleen Fraser Esma Balkır
+ PDF Chat	Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection	2022	Esma Balkır Isar Nejadgholi Kathleen Fraser Svetlana Kiritchenko
+	Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models	2022	Esma Balkır Svetlana Kiritchenko Isar Nejadgholi Kathleen Fraser
+	Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy	2022	Kathleen Fraser Svetlana Kiritchenko Esma Balkır
+	Does Moral Code have a Moral Code? Probing Delphi’s Moral Philosophy	2022	Kathleen Fraser Svetlana Kiritchenko Esma Balkır
+	Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models	2022	Esma Balkır Svetlana Kiritchenko Isar Nejadgholi Kathleen Fraser
+	Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection	2022	Esma Balkır Isar Nejadgholi Kathleen Fraser Svetlana Kiritchenko
+	Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information	2022	Isar Nejadgholi Esma Balkır Kathleen Fraser Svetlana Kiritchenko
+	Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information	2022	Isar Nejadgholi Esma Balkır Kathleen Fraser Svetlana Kiritchenko
+	Tensors over Semirings for Latent-Variable Weighted Logic Programs	2020	Esma Balkır Daniel Gildea Shay B. Cohen
+	Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets	2019	Esma Balkır Masha Naslidnyk Dave Palfrey Arpit Mittal
+	Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets	2019	Esma Balkır Masha Naslidnyk Dave Palfrey Arpit Mittal
+	Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets	2019	Esma Balkır Masha Naslidnyk Dave Palfrey Arpit Mittal
+	Sentence entailment in compositional distributional semantics	2018	Mehrnoosh Sadrzadeh Dimitri Kartsaklis Esma Balkır
+	Distributional Sentence Entailment Using Density Matrices	2016	Esma Balkır Mehrnoosh Sadrzadeh Bob Coecke
+	Distributional Sentence Entailment Using Density Matrices	2015	Esma Balkır Mehrnoosh Sadrzadeh Bob Coecke
+	Distributional Sentence Entailment Using Density Matrices	2015	Esma Balkır Mehrnoosh Sadrzadeh Bob Coecke

Common Coauthors

Coauthor	Papers Together
Svetlana Kiritchenko	10
Kathleen Fraser	10
Isar Nejadgholi	8
Mehrnoosh Sadrzadeh	4
Masha Naslidnyk	3
Dave Palfrey	3
Bob Coecke	3
Arpit Mittal	3
Seraphina Goldfarb-Tarrant	1
Eddie L. Ungless	1
Daniel Gildea	1
Shay B. Cohen	1
Su Lin Blodgett	1
Dimitri Kartsaklis	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	4
+	“Why Should I Trust You?”: Explaining the Predictions of Any Classifier	2016	Marco Ribeiro Sameer Singh Carlos Guestrin	4
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	4
+	HateCheck: Functional Tests for Hate Speech Detection Models	2021	Paul Röttger Bertie Vidgen Dong Nguyen Zeerak Waseem Helen Margetts Janet B. Pierrehumbert	4
+	Explaining NLP Models via Minimal Contrastive Editing (MiCE)	2021	Alexis Ross Ana Marasović Matthew E. Peters	3
+ PDF Chat	Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification	2019	Daniel Borkan Lucas Dixon Jeffrey Sorensen Nithum Thain Lucy Vasserman	3
+	A Survey of the State of Explainable AI for Natural Language Processing	2020	Marina Danilevsky Kun Qian Ranit Aharonov Yannis Katsis Ban Kawas Prithviraj Sen	3
+ PDF Chat	Improving Generalizability in Implicitly Abusive Language Detection with Concept Activation Vectors	2022	Isar Nejadgholi Kathleen Fraser Svetlana Kiritchenko	3
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	3
+ PDF Chat	Necessity and Sufficiency for Explaining Text Classifiers: A Case Study in Hate Speech Detection	2022	Esma Balkır Isar Nejadgholi Kathleen Fraser Svetlana Kiritchenko	3
+	Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems	2018	Svetlana Kiritchenko Saif M. Mohammad	3
+	Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)	2017	Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler Fernanda Viégas Rory Sayres	3
+	Beyond Accuracy: Behavioral Testing of NLP Models with CheckList	2020	Marco Túlio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh	3
+	Open System Categorical Quantum Semantics in Natural Language Processing	2015	Robin Piedeleu Dimitri Kartsaklis Bob Coecke Mehrnoosh Sadrzadeh	3
+	Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models	2021	Tongshuang Wu Marco Túlio Ribeiro Jeffrey Heer Daniel S. Weld	3
+	Explaining The Efficacy of Counterfactually Augmented Data	2020	Divyansh Kaushik Amrith Setlur Eduard Hovy Zachary C. Lipton	3
+ PDF Chat	HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection	2021	Binny Mathew Punyajoy Saha Seid Muhie Yimam Chris Biemann Pawan Goyal Animesh Mukherjee	2
+ PDF Chat	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals	2021	Sainyam Galhotra Romila Pradhan Babak Salimi	2
+ PDF Chat	Local Explanations Via Necessity and Sufficiency: Unifying Theory and Practice	2021	David Watson Limor Gultchin Ankur Taly Luciano Floridi	2
+	TuckER: Tensor Factorization for Knowledge Graph Completion	2019	Ivana Balažević Carl Allen Timothy M. Hospedales	2
+	Ex Machina: Personal Attacks Seen at Scale	2016	Ellery Wulczyn Nithum Thain Lucas Dixon	2
+	Concept Bottleneck Models	2020	Pang Wei Koh Thao Nguyen Yew Siang Tang Stephen Mussmann Emma Pierson Been Kim Percy Liang	2
+ PDF Chat	A Primer in BERTology: What We Know About How BERT Works	2020	Anna Rogers Olga Kovaleva Anna Rumshisky	2
+	Language (Technology) is Power: A Critical Survey of “Bias” in NLP	2020	Su Lin Blodgett Solon Barocas Hal Daumé Hanna Wallach	2
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	2
+	Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview	2020	Deven Santosh Shah H. Andrew Schwartz Dirk Hovy	2
+	Perturbation Sensitivity Analysis to Detect Unintended Model Biases	2019	Vinodkumar Prabhakaran Ben Hutchinson Margaret Mitchell	2
+ PDF Chat	Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals	2021	Yanai Elazar Shauli Ravfogel Alon Jacovi Yoav Goldberg	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Fast Linear Model for Knowledge Graph Embeddings	2017	Armand Joulin Édouard Grave Piotr Bojanowski Maximilian Nickel Tomáš Mikolov	2
+	Contextualizing Hate Speech Classifiers with Post-hoc Explanation	2020	Brendan Kennedy Xisen Jin Aida Mostafazadeh Davani Morteza Dehghani Xiang Ren	2
+	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space	2019	Zhiqing Sun Zhihong Deng Jian‐Yun Nie Jian Tang	2
+	KBGAN: Adversarial Learning for Knowledge Graph Embeddings	2018	Liwei Cai William Yang Wang	2
+ PDF Chat	Convolutional 2D Knowledge Graph Embeddings	2017	Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel	2
+	Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection	2020	Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg	2
+	Knowledge Base Completion: Baselines Strike Back	2017	Rudolf Kadlec Ondřej Bajgar Jan Kleindienst	2
+	Complex Embeddings for Simple Link Prediction	2016	Théo Trouillon Johannes Welbl Sebastian Riedel Éric Gaussier Guillaume Bouchard	2
+	SimplE embedding for link prediction in knowledge graphs	2018	Seyed Mehran Kazemi David Poole	2
+	Typed Tensor Decomposition of Knowledge Bases for Relation Extraction	2014	Kai-Wei Chang Wen-tau Yih Bishan Yang Christopher Meek	2
+ PDF Chat	Regression Concept Vectors for Bidirectional Explanations in Histopathology	2018	Mara Graziani Vincent Andrearczyk Henning Müller	2
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	2
+	Canonical Tensor Decomposition for Knowledge Base Completion	2018	Timothée Lacroix Nicolas Usunier Guillaume Obozinski	2
+	Towards A Rigorous Science of Interpretable Machine Learning	2017	Finale Doshi‐Velez Been Kim	2
+	Embedding Entities and Relations for Learning and Inference in Knowledge Bases	2014	Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng	2
+ PDF Chat	What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties	2018	Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni	2
+	Towards Automatic Concept-based Explanations	2019	Amirata Ghorbani James Wexler James Zou Been Kim	2
+	Evaluating Gender Bias in Machine Translation	2019	Gabriel Stanovsky Noah A. Smith Luke Zettlemoyer	2
+ PDF Chat	A Survey of Methods for Explaining Black Box Models	2018	Riccardo Guidotti Anna Monreale Salvatore Ruggieri Franco Turini Fosca Giannotti Dino Pedreschi	2
+	Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey	2020	Arun Das Paul Rad	2
+	Investigations on Knowledge Base Embedding for Relation Prediction and Extraction	2018	Peng Xu Denilson Barbosa	2