AAAI 2021

1,961 papers

BERT & Family Eat Word Salad: Experiments with Text Understanding

Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar

Iterative Utterance Segmentation for Neural Semantic Parsing

Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang

Label Confusion Learning to Enhance Text Classification Models

Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking

Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances

Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha

Perception Score: A Learned Metric for Open-ended Text Generation Evaluation

Jing Gu, Qingyang Wu, Zhou Yu

Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks

Maurício Gruppi, Pin-Yu Chen, Sibel Adali

Analogy Training Multilingual Encoders

Nicolas Garneau, Mareike Hartmann, Anders Sandholm, Sebastian Ruder, Ivan Vulić

Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction

Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang

Judgment Prediction via Injecting Legal Knowledge into Neural Networks

Leilei Gan, Kun Kuang, Yi Yang, Fei Wu

Paragraph-level Commonsense Transformers with Recurrent Memory

Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes

A Theoretical Analysis of the Repetition Problem in Text Generation

Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi

Nested Named Entity Recognition with Partially-Observed TreeCRFs

Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang

LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding

Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu

More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation

Mauajama Firdaus, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya

Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation

Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun

End-to-end Semantic Role Labeling with Neural Transition-based Model

Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji

Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax

Hao Fei, Fei Li, Bobo Li, Donghong Ji

Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks

Hao Fei, Donghong Ji, Bobo Li, Yijiang Liu, Yafeng Ren

FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding

Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu

Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification

Jinhua Du, Yan Huang, Karo Moilanen

MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations

Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi

Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation

Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu

Consecutive Decoding for Speech-to-text Translation

Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu

We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale

Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova

DirectQE: Direct Pretraining for Machine Translation Quality Estimation

Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng

How Linguistically Fair Are Multilingual Pre-Trained Language Models?

Monojit Choudhury, Amit Deshpande

Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation

Wei Cheng, Ziyan Luo, Qiyue Yin

Meta-Transfer Learning for Low-Resource Abstractive Summarization

Yi-Syuan Chen, Hong-Han Shuai

Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension

Xiuying Chen, Zhi Cui, Jiayi Zhang, CHEN WEI, Jianwei Cui

Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training

Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang

A Lightweight Neural Model for Biomedical Entity Linking

Lihu Chen, Gael Varoquaux, Fabian M. Suchanek

Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests

Jiaao Chen, Diyi Yang

Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework

Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance

Guanhua Chen, Yun Chen, Victor O.K. Li

Simple or Complex? Learning to Predict Readability of Bengali Texts

Susmoy Chakraborty, Mir Tafseer Nayeem, Wasi Uddin Ahmad

Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers

Rongyu Cao, Ping Luo

Brain Decoding Using fNIRS

Lu Cao, Dandan Huang, Yue Zhang, Xiaowei Jiang, Yanan Chen

Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision

Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi

Multilingual Transfer Learning for QA using Translation as Data Augmentation

Mihaela Bornea, Lin Pan, Sara Rosenthal, Radu Florian, Avirup Sil

Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation

Ning Bian, Xianpei Han, Bo Chen, Le Sun

One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline

Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli

Knowledge-driven Natural Language Understanding of English Text and its Applications

Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta

Contextualized Rewriting for Text Summarization

Guangsheng Bao, Yue Zhang

Learning to Copy Coherent Knowledge for Response Generation

Jiaqi Bai, Ze Yang, Xinnian Liang, Wei Wang, Zhoujun Li

Segatron: Segment-Aware Transformer for Language Modeling and Understanding

He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan

Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards

Rahul Aralikatte, Mostafa Abdou, Heather C Lent, Daniel Hershcovich, Anders Søgaard

Multi-Dimensional Explanation of Target Variables from Documents

Diego Antognini, Claudiu Musat, Boi Faltings

Enhancing Scientific Papers Summarization with Citation Graph

Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu

Unsupervised Opinion Summarization with Content Planning

Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata

Segmentation of Tweets with URLs and its Applications to Sentiment Analysis

Abdullah Aljebreen, Weiyi Meng, Eduard Dragut

Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine Translation

Xi Ai, Bin Fang

GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction

Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang

Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding

Yi Zhou, Shan Hu, Mingyu Xiao, Zhang-Hua Fu

Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem

Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li

Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality

Guihong Wan, Haim Schweitzer

Learning Branching Heuristics for Propositional Model Counting

Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris Maddison, Roger B Grosse

Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions

Jake Tuero, Michael Buro

Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering

Pavel Surynek

Weighting-based Variable Neighborhood Search for Optimal Camera Placement

Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Chu-Min Li, Weibo Lin

Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures

Sebastian Risi, Kenneth O. Stanley

Policy-Guided Heuristic Search with Guarantees

Laurent Orseau, Levi H. S. Lelis

Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model

Felix Mohr, Viktor Bengs, Eyke Hüllermeier

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao

EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding

Jiaoyang Li, Wheeler Ruml, Sven Koenig

Submodular Span, with Applications to Conditional Data Summarization

Lilly Kumari, Jeff Bilmes

Enhancing Balanced Graph Edge Partition with Effective Local Search

Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan

Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings

Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz

OpEvo: An Evolutionary Method for Tensor Operator Optimization

Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang

Choosing the Initial State for Online Replanning

Maximilian Fickert, Ivan Gavran, Ivan Fedotov, Jorg Hoffmann, Rupak Majumdar

Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee

Chao Feng, Chao Qian

Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives

Benjamin Doerr, Weijie Zheng

Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints

Anh Viet Do, Frank Neumann

Escaping Local Optima with Non-Elitist Evolutionary Algorithms

Duc-Cuong Dang, Anton Eremeev, Per Kristian Lehre

Symmetry Breaking for k-Robust Multi-Agent Path Finding

Zhe Chen, Daniel D. Harabor, Jiaoyang Li, Peter J. Stuckey

NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem

Jiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin

Parameterized Algorithms for MILPs with Small Treedepth

Cornelius Brand, Martin Koutecký, Sebastian Ordyniak

f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search

Eli Boyarski, Ariel Felner, Pierre Le Bodic, Daniel D. Harabor, Peter J. Stuckey

Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization

Nawal Benabbou, Cassandre Leroy, Thibaut Lust, Patrice Perny

Generalization in Portfolio-Based Algorithm Selection

Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik

A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem

Saman Ahmadi, Guido Tack, Daniel D. Harabor, Philip Kilby

Bounding Causal Effects on Continuous Outcome

Junzhe Zhang, Elias Bareinboim

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs

Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz

Learning the Parameters of Bayesian Networks from Uncertain Data

Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A Feldman

Robust Contextual Bandits via Bootstrapping

Qiao Tang, Hong Xie, Yunni Xia, Jia Lee, Qingsheng Zhu

Probabilistic Dependency Graphs

Oliver Richardson, Joseph Y Halpern

Estimation of Spectral Risk Measures

Ajay Kumar Pandey, Prashanth L.A., Sanjay P. Bhat

A New Bounding Scheme for Influence Diagrams

Radu Marinescu, Junkyu Lee, Rina Dechter

Submodel Decomposition Bounds for Influence Diagrams

Junkyu Lee, Radu Marinescu, Rina Dechter

Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks

Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin

Instrumental Variable-based Identification for Causal Effects using Covariate Information

Yuta Kawakami

Relational Boosted Bandits

Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran

Estimating Identifiable Causal Effects through Double Machine Learning

Yonghan Jung, Jin Tian, Elias Bareinboim

A Generative Adversarial Framework for Bounding Confounded Causal Effects

Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu

High Dimensional Level Set Estimation with Bayesian Neural Network

Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh

Scalable First-Order Methods for Robust MDPs

Julien Grand-Clément, Christian Kroer

Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks

Hongfei Du, Emre Barut, Fang Jin

Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback

Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci

GO Hessian for Expectation-Based Objectives

Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin