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Interpretability

7318 directly classified papers

Papers per year

Papers

An IDR Framework of Opportunities and Barriers between HCI and NLP EACL 2021

Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings EACL 2021

Moment Multicalibration for Uncertainty Estimation COLT 2021

Evaluating Text Generation from Discourse Representation Structures IJCNLP 2021

HITMI&T at SemEval-2021 Task 5: Integrating Transformer and CRF for Toxic Spans Detection IJCNLP 2021

Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition ACL 2021

ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining ACL 2021

Learning Models for Actionable Recourse NIPS 2021

“It’s our fault!”: Insights Into Users’ Understanding and Interaction With an Explanatory Collaborative Dialog System CONLL 2021

Bayesian Deep Basis Fitting for Depth Completion With Uncertainty ICCV 2021

FrameNet and Typology NAACL 2021

Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation ICCV 2021

UTNLP at SemEval-2021 Task 5: A Comparative Analysis of Toxic Span Detection using Attention-based, Named Entity Recognition, and Ensemble Models IJCNLP 2021

Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge NAACL 2021

Probing for Bridging Inference in Transformer Language Models NAACL 2021

What Will it Take to Fix Benchmarking in Natural Language Understanding? NAACL 2021

ENTRUST: Argument Reframing with Language Models and Entailment NAACL 2021

Factual Probing Is [MASK]: Learning vs. Learning to Recall NAACL 2021

HamiltonDinggg at SemEval-2021 Task 5: Investigating Toxic Span Detection using RoBERTa Pre-training SEMEVAL 2021

Towards a Data Analytics Pipeline for the Visualisation of Complexity Metrics in L2 writings EACL 2021

Exploring Neural Language Models via Analysis of Local and Global Self-Attention Spaces EACL 2021

Towards Quantifiable Dialogue Coherence Evaluation IJCNLP 2021

Understanding Clinical Collaborations Through Federated Classifier Selection MLHC 2021

An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention MLHC 2021

Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer’s Disease classification MLHC 2021