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On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles
In this paper, we study the importance of context in predicting the cita...
04/18/2021 ∙ by Rakesh Gosangi, et al. ∙
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An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
While convolutional neural networks (CNNs) have significantly boosted th...
03/13/2021 ∙ by Jiahao Xia, et al. ∙
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Enhancing Transformation-based Defenses against Adversarial Examples with First-Order Perturbations
Studies show that neural networks are susceptible to adversarial attacks...
03/08/2021 ∙ by Haimin Zhang, et al. ∙
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SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks
Graph convolutional networks have been successfully applied in various g...
02/20/2021 ∙ by Haimin Zhang, et al. ∙
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MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings
This paper presents our submission to the SemEval 2020 - Task 10 on emph...
09/06/2020 ∙ by Sarthak Anand, et al. ∙
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Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings
In this paper, we formulate keyphrase extraction from scholarly articles...
10/19/2019 ∙ by Dhruva Sahrawat, et al. ∙
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Keyphrase Generation for Scientific Articles using GANs
In this paper, we present a keyphrase generation approach using conditio...
09/24/2019 ∙ by Avinash Swaminathan, et al. ∙
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Dialogue Act Classification in Group Chats with DAG-LSTMs
Dialogue act (DA) classification has been studied for the past two decad...
08/02/2019 ∙ by Ozan Irsoy, et al. ∙
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Suggestion Mining from Online Reviews using ULMFiT
In this paper we present our approach and the system description for Sub...
04/19/2019 ∙ by Sarthak Anand, et al. ∙
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Identifying Offensive Posts and Targeted Offense from Twitter
In this paper we present our approach and the system description for Sub...
04/19/2019 ∙ by Haimin Zhang, et al. ∙
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Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization
Motivated by the observation that humans can learn patterns from two giv...
06/11/2018 ∙ by Haimin Zhang, et al. ∙
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Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos
With the widespread of user-generated Internet videos, emotion recogniti...
03/20/2016 ∙ by Haimin Zhang, et al. ∙
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Modelling Temporal Information Using Discrete Fourier Transform for Video Classification
Recently, video classification attracts intensive research efforts. Howe...
03/20/2016 ∙ by Haimin Zhang, et al. ∙
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