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Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations
Recent developments in surgical robotics have led to new advancements in...
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Message Passing Based Structured Sparse Signal Recovery for Estimation of OTFS Channels with Fractional Doppler Shifts
The orthogonal time frequency space (OTFS) modulation has emerged as a p...
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Automatic Summarization of Open-Domain Podcast Episodes
We present implementation details of our abstractive summarizers that ac...
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How Domain Terminology Affects Meeting Summarization Performance
Meetings are essential to modern organizations. Numerous meetings are he...
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A 2D Surgical Simulation Framework for Tool-Tissue Interaction
The control and task automation of robotic surgical system is very chall...
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Better Highlighting: Creating Sub-Sentence Summary Highlights
Amongst the best means to summarize is highlighting. In this paper, we a...
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The NVIDIA PilotNet Experiments
Four years ago, an experimental system known as PilotNet became the firs...
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Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection
Autonomous robotic surgery has seen significant progression over the las...
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Learning to Fuse Sentences with Transformers for Summarization
The ability to fuse sentences is highly attractive for summarization sys...
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A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion
We present an empirical study in favor of a cascade architecture to neur...
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Iterative Detection for Orthogonal Time Frequency Space Modulation Using Approximate Message Passing with Unitary Transformation
The orthogonal time frequency space (OTFS) modulation has emerged as a p...
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Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots
Reliable real-time planning for robots is essential in today's rapidly e...
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Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles
As a combination of various kinds of technologies, autonomous vehicles c...
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Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Recently, the advancement of deep learning in discriminative feature lea...
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AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images
Recent promising effort for spectral reconstruction (SR) focuses on lear...
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6G White paper: Research challenges for Trust, Security and Privacy
The roles of trust, security and privacy are somewhat interconnected, bu...
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Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction
Machine learning (ML) methods have gained increasing popularity in explo...
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Self-Attention Network for Skeleton-based Human Action Recognition
Skeleton-based action recognition has recently attracted a lot of attent...
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Controlling the Amount of Verbatim Copying in Abstractive Summarization
An abstract must not change the meaning of the original text. A single m...
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Joint Parsing and Generation for Abstractive Summarization
Sentences produced by abstractive summarization systems can be ungrammat...
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Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations
Emerged as one of the best performing techniques for extractive summariz...
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Towards Annotating and Creating Sub-Sentence Summary Highlights
Highlighting is a powerful tool to pick out important content and emphas...
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Analyzing Sentence Fusion in Abstractive Summarization
While recent work in abstractive summarization has resulted in higher sc...
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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance
A robust evaluation metric has a profound impact on the development of t...
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Scoring Sentence Singletons and Pairs for Abstractive Summarization
When writing a summary, humans tend to choose content from one or two se...
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Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
The most important obstacles facing multi-document summarization include...
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Guiding Extractive Summarization with Question-Answering Rewards
Highlighting while reading is a natural behavior for people to track sal...
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The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
We present a new architecture for storing and accessing entity mentions ...
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Evaluating the Utility of Hand-crafted Features in Sequence Labelling
Conventional wisdom is that hand-crafted features are redundant for deep...
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Automatic Detection of Vague Words and Sentences in Privacy Policies
Website privacy policies represent the single most important source of i...
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Generating an abstract from a set of relevant documents remains challeng...
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A Novel ILP Framework for Summarizing Content with High Lexical Variety
Summarizing content contributed by individuals can be challenging, becau...
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Structure-Infused Copy Mechanisms for Abstractive Summarization
Seq2seq learning has produced promising results on summarization. Howeve...
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Abstract Meaning Representation for Multi-Document Summarization
Generating an abstract from a collection of documents is a desirable cap...
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Toward Abstractive Summarization Using Semantic Representations
We present a novel abstractive summarization framework that draws on the...
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An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses
Teaching large classes remains a great challenge, primarily because it i...
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Automatic Summarization of Student Course Feedback
Student course feedback is generated daily in both classrooms and online...
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Modeling Language Vagueness in Privacy Policies using Deep Neural Networks
Website privacy policies are too long to read and difficult to understan...
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Reinforced Extractive Summarization with Question-Focused Rewards
We investigate a new training paradigm for extractive summarization. Tra...
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Toward Extractive Summarization of Online Forum Discussions via Hierarchical Attention Networks
Forum threads are lengthy and rich in content. Concise thread summaries ...
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A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads
Asking effective questions is a powerful social skill. In this paper we ...
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Narrative Modeling with Memory Chains and Semantic Supervision
Story comprehension requires a deep semantic understanding of the narrat...
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Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysis
While neural networks have been shown to achieve impressive results for ...
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Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields
Despite successful applications across a broad range of NLP tasks, condi...
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An Automatic Contextual Analysis and Clustering Classifiers Ensemble approach to Sentiment Analysis
Products reviews are one of the major resources to determine the public ...
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Humans of Simulated New York (HOSNY): an exploratory comprehensive model of city life
The model presented in this paper experiments with a comprehensive simul...
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A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
Many methods have been used to recognize author personality traits from ...
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Gated End-to-End Memory Networks
Machine reading using differentiable reasoning models has recently shown...
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Dialog state tracking, a machine reading approach using Memory Network
In an end-to-end dialog system, the aim of dialog state tracking is to a...
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From Incremental Meaning to Semantic Unit (phrase by phrase)
This paper describes an experimental approach to Detection of Minimal Se...
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