Paper-Conference

Understanding Ethics in NLP Authoring and Reviewing
A tutorial on ethical considerations in NLP authoring and peer review.
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Understanding Ethics in NLP Authoring and Reviewing
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
An optimal-transport alignment model for fast inference on missing-modality sequences.
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MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
A knowledge-intensive text-to-SQL framework that uses formulaic knowledge and the KnowSQL benchmark.
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Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
A document-grounded conversation model that uses co-referential and differential knowledge flow.
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CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Lightweight Contextual Logical Structure Recovery
A lightweight text-only model for scientific logical structure recovery using cross-line context.
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Lightweight Contextual Logical Structure Recovery
Comparative Snippet Generation
A dataset and BERT baseline for generating comparative product-review snippets.
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Comparative Snippet Generation
GL-CLeF: A Global--Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding
A contrastive cross-lingual SLU framework with global and local alignment components.
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GL-CLeF: A Global--Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding
Interpreting the Robustness of Neural NLP Models to Textual Perturbations
A learnability-based explanation of why NLP models are brittle to textual perturbations.
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Interpreting the Robustness of Neural NLP Models to Textual Perturbations
N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking
A belief-state-driven dialogue augmentation method that improves n-shot task-oriented DST.
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N-Shot Learning for Augmenting Task-Oriented Dialogue State Tracking
So Different Yet So Alike! Constrained Unsupervised Text Style Transfer
A constrained unsupervised text style transfer method with cooperative losses for preserving content and attributes.
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So Different Yet So Alike! Constrained Unsupervised Text Style Transfer