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Interpretability
7,318 papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
Morphological Reinflection with Multiple Arguments: An Extended Annotation schema and a Georgian Case Study
ACL 2022
Event-Event Relation Extraction using Probabilistic Box Embedding
ACL 2022
Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances
ACL 2022
How Distributed are Distributed Representations? An Observation on the Locality of Syntactic Information in Verb Agreement Tasks
ACL 2022
Region-dependent temperature scaling for certainty calibration and application to class-imbalanced token classification
ACL 2022
Probing the Robustness of Trained Metrics for Conversational Dialogue Systems
ACL 2022
Understanding Game-Playing Agents with Natural Language Annotations
ACL 2022
Discourse on ASR Measurement: Introducing the ARPOCA Assessment Tool
ACL 2022
SocioFillmore: A Tool for Discovering Perspectives
ACL 2022
Input-specific Attention Subnetworks for Adversarial Detection
ACL 2022
AbductionRules: Training Transformers to Explain Unexpected Inputs
ACL 2022
On the Importance of Data Size in Probing Fine-tuned Models
ACL 2022
Towards Transparent Interactive Semantic Parsing via Step-by-Step Correction
ACL 2022
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance
ACL 2022
SyMCoM - Syntactic Measure of Code Mixing A Study Of English-Hindi Code-Mixing
ACL 2022
Debiasing Event Understanding for Visual Commonsense Tasks
ACL 2022
Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model
ACL 2022
What to Learn, and How: Toward Effective Learning from Rationales
ACL 2022
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments
ACL 2022
From BERT‘s Point of View: Revealing the Prevailing Contextual Differences
ACL 2022
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge
ACL 2022
Combining Feature and Instance Attribution to Detect Artifacts
ACL 2022
Mitigating the Inconsistency Between Word Saliency and Model Confidence with Pathological Contrastive Training
ACL 2022
A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification
ACL 2022
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold
ACL 2022
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