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05/27/2023
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
Textual scene graph parsing has become increasingly important in various...
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05/02/2023
Class based Influence Functions for Error Detection
Influence functions (IFs) are a powerful tool for detecting anomalous ex...
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10/14/2022
Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?
Recently vision transformers (ViT) have been applied successfully for va...
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07/07/2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation
Interpretable machine learning offers insights into what factors drive a...
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10/14/2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Identifying vulnerabilities in the source code is essential to protect t...
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09/13/2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
In this work, we focus on a more challenging few-shot intent detection s...
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05/27/2021
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
Compared to the general news domain, information extraction (IE) from bi...
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04/04/2021
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
Event coreference resolution is an important research problem with many ...
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10/28/2020
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
Acronyms are the short forms of phrases that facilitate conveying length...
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10/26/2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation
Aspect-based Sentiment Analysis (ABSA) seeks to predict the sentiment po...
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10/22/2020
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents
Keyphrase extraction is the task of extracting a small set of phrases th...
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10/06/2020
Scene Graph Modification Based on Natural Language Commands
Structured representations like graphs and parse trees play a crucial ro...
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10/28/2019
A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems
In a task-oriented dialog system, the goal of dialog state tracking (DST...
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09/13/2019
A Gated Self-attention Memory Network for Answer Selection
Answer selection is an important research problem, with applications in ...
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10/17/2018
