Xiang Ren

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University of Southern California ∙ University of Illinois at Urbana-Champaign

ssistant Professor of Computer Science at University of Southern California

Gradient Based Memory Editing for Task-Free Continual Learning

Prior work on continual learning often operate in a "task-aware" manner,...
06/27/2020 ∙ by Xisen Jin, et al. ∙ 0 ∙ share

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Screenplay Quality Assessment: Can We Predict Who Gets Nominated?

Deciding which scripts to turn into movies is a costly and time-consumin...
05/13/2020 ∙ by Ming-Chang Chiu, et al. ∙ 0 ∙ share

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Contextualizing Hate Speech Classifiers with Post-hoc Explanation

Hate speech classifiers trained on imbalanced datasets struggle to deter...
05/05/2020 ∙ by Brendan Kennedy, et al. ∙ 0 ∙ share

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Teaching Machine Comprehension with Compositional Explanations

Advances in extractive machine reading comprehension (MRC) rely heavily ...
05/02/2020 ∙ by Qinyuan Ye, et al. ∙ 0 ∙ share

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ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions

Textual data are often accompanied by time information (e.g., dates in n...
05/02/2020 ∙ by Woojeong Jin, et al. ∙ 12 ∙ share

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Visually Grounded Continual Learning of Compositional Semantics

Children's language acquisition from the visual world is a real-world ex...
05/02/2020 ∙ by Xisen Jin, et al. ∙ 0 ∙ share

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Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering

Commonsense question answering (QA) requires the modeling of general bac...
05/02/2020 ∙ by Peifeng Wang, et al. ∙ 5 ∙ share

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Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning

Walk-based models have shown their unique advantages in knowledge graph ...
05/01/2020 ∙ by Deren Lei, et al. ∙ 6 ∙ share

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Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Today text classification models have been widely used. However, these c...
03/10/2020 ∙ by Yankun Ren, et al. ∙ 0 ∙ share

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Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

Time series prediction is an important problem in machine learning. Prev...
03/09/2020 ∙ by Sankalp Garg, et al. ∙ 28 ∙ share

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Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach

We present ProxiModel, a novel event mining framework for extracting hig...
11/14/2019 ∙ by Hyungsul Kim, et al. ∙ 11 ∙ share

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Improving BERT Fine-tuning with Embedding Normalization

Large pre-trained sentence encoders like BERT start a new chapter in nat...
11/10/2019 ∙ by Wenxuan Zhou, et al. ∙ 0 ∙ share

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CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning

Rational humans can generate sentences that cover a certain set of conce...
11/09/2019 ∙ by Bill Yuchen Lin, et al. ∙ 23 ∙ share

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Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models

The impressive performance of neural networks on natural language proces...
11/08/2019 ∙ by Xisen Jin, et al. ∙ 19 ∙ share

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Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations

Deep neural networks usually require massive labeled data, which restric...
11/04/2019 ∙ by Ziqi Wang, et al. ∙ 0 ∙ share

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Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations

Deep neural networks usually require massive labeled data, which restric...
11/04/2019 ∙ by Ziqi Wang, et al. ∙ 0 ∙ share

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HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion

Taxonomies are of great value to many knowledge-rich applications. As th...
10/17/2019 ∙ by Jiaming Shen, et al. ∙ 25 ∙ share

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SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

Corpus-based set expansion (i.e., finding the "complete" set of entities...
10/17/2019 ∙ by Jiaming Shen, et al. ∙ 0 ∙ share

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Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling

Sequence labeling is a fundamental framework for various natural languag...
10/09/2019 ∙ by Ouyu Lan, et al. ∙ 0 ∙ share

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Neural Rule Grounding for Low-Resource Relation Extraction

While deep neural models have gained successes on information extraction...
09/05/2019 ∙ by Wenxuan Zhou, et al. ∙ 0 ∙ share

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KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Commonsense reasoning aims to empower machines with the human ability to...
09/04/2019 ∙ by Bill Yuchen Lin, et al. ∙ 22 ∙ share

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Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes

Official reports of hate crimes in the US are under-reported relative to...
09/04/2019 ∙ by Aida Mostafazadeh Davani, et al. ∙ 0 ∙ share

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Learning Dynamic Context Augmentation for Global Entity Linking

Despite of the recent success of collective entity linking (EL) methods,...
09/04/2019 ∙ by Xiyuan Yang, et al. ∙ 0 ∙ share

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Collaborative Policy Learning for Open Knowledge Graph Reasoning

In recent years, there has been a surge of interests in interpretable gr...
08/31/2019 ∙ by Cong Fu, et al. ∙ 19 ∙ share

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Hierarchical Text Classification with Reinforced Label Assignment

While existing hierarchical text classification (HTC) methods attempt to...
08/27/2019 ∙ by Yuning Mao, et al. ∙ 0 ∙ share

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Facet-Aware Evaluation for Extractive Text Summarization

Commonly adopted metrics for extractive text summarization like ROUGE fo...
08/27/2019 ∙ by Yuning Mao, et al. ∙ 0 ∙ share

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Raw-to-End Name Entity Recognition in Social Media

Taking word sequences as the input, typical named entity recognition (NE...
08/14/2019 ∙ by Liyuan Liu, et al. ∙ 0 ∙ share

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Adversarial Representation Learning on Large-Scale Bipartite Graphs

Graph representation on large-scale bipartite graphs is central for a va...
06/27/2019 ∙ by Chaoyang He, et al. ∙ 3 ∙ share

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Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis

Cognitive task analysis (CTA) is a type of analysis in applied psycholog...
06/26/2019 ∙ by Junyi Du, et al. ∙ 0 ∙ share

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KCAT: A Knowledge-Constraint Typing Annotation Tool

Fine-grained Entity Typing is a tough task which suffers from noise samp...
06/13/2019 ∙ by Sheng Lin, et al. ∙ 2 ∙ share

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Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling

Network representation learning, as an approach to learn low dimensional...
06/09/2019 ∙ by Hao Peng, et al. ∙ 7 ∙ share

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Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat

While mobile social apps have become increasingly important in people's ...
06/02/2019 ∙ by Yozen Liu, et al. ∙ 0 ∙ share

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Modeling Combinatorial Evolution in Time Series Prediction

Time series modeling aims to capture the intrinsic factors underpinning ...
05/10/2019 ∙ by Wenjie Hu, et al. ∙ 8 ∙ share

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Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction

In recent years there is surge of interest in applying distant supervisi...
04/19/2019 ∙ by Maosen Zhang, et al. ∙ 0 ∙ share

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Posterior-regularized REINFORCE for Instance Selection in Distant Supervision

This paper provides a new way to improve the efficiency of the REINFORCE...
04/17/2019 ∙ by Qi Zhang, et al. ∙ 0 ∙ share

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Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering

Recently, distant supervision has gained great success on Fine-grained E...
04/13/2019 ∙ by Bo Chen, et al. ∙ 10 ∙ share

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Recurrent Event Network for Reasoning over Temporal Knowledge Graphs

Recently, there has been a surge of interest in learning representation ...
04/11/2019 ∙ by Woojeong Jin, et al. ∙ 6 ∙ share

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Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Explainability and effectiveness are two key aspects for building recomm...
03/09/2019 ∙ by Weizhi Ma, et al. ∙ 12 ∙ share

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Learning Dual Retrieval Module for Semi-supervised Relation Extraction

Relation extraction is an important task in structuring content of text ...
02/20/2019 ∙ by Hongtao Lin, et al. ∙ 0 ∙ share

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Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction

Distant supervision leverages knowledge bases to automatically label ins...
12/27/2018 ∙ by Yujin Yuan, et al. ∙ 0 ∙ share

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Mining Entity Synonyms with Efficient Neural Set Generation

Mining entity synonym sets (i.e., sets of terms referring to the same en...
11/16/2018 ∙ by Jiaming Shen, et al. ∙ 0 ∙ share

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Incorporating Diversity into Influential Node Mining

Diversity is a crucial criterion in many ranking and mining tasks. In th...
10/14/2018 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Learning Named Entity Tagger using Domain-Specific Dictionary

Recent advances in deep neural models allow us to build reliable named e...
09/10/2018 ∙ by Jingbo Shang, et al. ∙ 0 ∙ share

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Hierarchical Graph Representation Learning with Differentiable Pooling

Recently, graph neural networks (GNNs) have revolutionized the field of ...
06/22/2018 ∙ by Rex Ying, et al. ∙ 2 ∙ share

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Hierarchical Graph Representation Learning withDifferentiable Pooling

Recently, graph neural networks (GNNs) have revolutionized the field of ...
06/22/2018 ∙ by Rex Ying, et al. ∙ 0 ∙ share

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End-to-End Reinforcement Learning for Automatic Taxonomy Induction

We present a novel end-to-end reinforcement learning approach to automat...
05/10/2018 ∙ by Yuning Mao, et al. ∙ 0 ∙ share

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Open Information Extraction with Global Structure Constraints

Extracting entities and their relations from text is an important task f...
04/26/2018 ∙ by Qi Zhu, et al. ∙ 0 ∙ share

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Integrating Local Context and Global Cohesiveness for Open Information Extraction

Extracting entities and their relations from text is an important task f...
04/26/2018 ∙ by Qi Zhu, et al. ∙ 0 ∙ share

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Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Many efforts have been made to facilitate natural language processing ta...
04/20/2018 ∙ by Liyuan Liu, et al. ∙ 0 ∙ share

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GraphRNN: A Deep Generative Model for Graphs

Modeling and generating graphs is fundamental for studying networks in b...
02/24/2018 ∙ by Jiaxuan You, et al. ∙ 0 ∙ share

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Xiang Ren

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