Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.

[BibT_eX]

[DOI]

Chen Yang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rotative Factorization Machines.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AuriSRec: Adversarial User Intention Learning in Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models are Zero-Shot Rankers for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Sequence-level Semantic Representation Fusion for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Complex Knowledge Base Question Answering: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Enhancing Multi-View Smoothness for Sequential Recommendation Models.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., October, 2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

A Revisiting Study of Appropriate Offline Evaluation for Top-<i>N</i> Recommendation Algorithms.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., April, 2023

Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-<i>N</i> Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2023

Multi-grained hypergraph interest modeling for conversational recommendation.

[BibT_eX]

[DOI]

AI Open, January, 2023

Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2023

UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Don't Make Your LLM an Evaluation Benchmark Cheater.

[BibT_eX]

[DOI]

CoRR, 2023

Universal Multi-modal Multi-domain Pre-trained Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark].

[BibT_eX]

[DOI]

CoRR, 2023

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

RecAgent: A Novel Simulation Paradigm for Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing.

[BibT_eX]

[DOI]

CoRR, 2023

The Web Can Be Your Oyster for Improving Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark.

[BibT_eX]

[DOI]

CoRR, 2023

RenderDiffusion: Text Generation as Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Long Text Modeling with Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Reciprocal Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Alleviating the Long-Tail Problem in Conversational Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Generative Next-Basket Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Conversational Recommendation Systems via Counterfactual Data Simulation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diffusion Models for Non-autoregressive Text Generation: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Thorough Examination on Zero-shot Dense Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evaluating Object Hallucination in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

StructGPT: A General Framework for Large Language Model to Reason over Structured Data.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Efficient and Effective Transformers for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MVP: Multi-task Supervised Pre-training for Natural Language Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning to Imagine: Visually-Augmented Natural Language Generation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TOME: A Two-stage Approach for Model-based Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

The Web Can Be Your Oyster for Improving Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Visually-augmented pretrained language models for NLP tasks without images.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Zero-shot Visual Question Answering with Language Model Feedback.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Continuous Trajectory Generation Based on Two-Stage GAN.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Knowledge-Guided Disentangled Representation Learning for Recommender Systems.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Personalized Route Recommendation With Neural Network Enhanced Search Algorithm.

[BibT_eX]

[DOI]

Jingyuan Wang

Ning Wu

Wayne Xin Zhao

IEEE Trans. Knowl. Data Eng., 2022

Self-Supervised learning for Conversational Recommendation.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2022

TextBox 2.0: A Text Generation Library with Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Recent Advances in RecBole: Extensions with more Practical Considerations.

[BibT_eX]

[DOI]

CoRR, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

[BibT_eX]

[DOI]

CoRR, 2022

Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Multimodal foundation models are better simulators of the human brain.

[BibT_eX]

[DOI]

CoRR, 2022

Negative Sampling for Contrastive Representation Learning: A Review.

[BibT_eX]

[DOI]

CoRR, 2022

Context-Tuning: Learning Contextualized Prompts for Natural Language Generation.

[BibT_eX]

[DOI]

Tianyi Tang

Junyi Li

Wayne Xin Zhao

CoRR, 2022

A Survey of Pretrained Language Models Based Text Generation.

[BibT_eX]

[DOI]

CoRR, 2022

C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System.

[BibT_eX]

[DOI]

CoRR, 2022

Filter-enhanced MLP is All You Need for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Graph Matching for Pre-training Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Modeling Two-Way Selection Preference for Person-Job Fit.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning to Transfer Prompts for Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling.

[BibT_eX]

[DOI]

Houxing Ren

Jingyuan Wang

Wayne Xin Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Universal Sequence Representation Learning for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

A Survey of Vision-Language Pre-Trained Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Privacy-Preserved Neural Graph Similarity Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

TextBox 2.0: A Text Generation Library with Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Leveraging Search History for Improving Person-Job Fit.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

Context-Tuning: Learning Contextualized Prompts for Natural Language Generation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

RecBole 2.0: Towards a More Up-to-Date Recommendation Library.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Temporal Contrastive Pre-Training for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis.

[BibT_eX]

[DOI]

Houxing Ren

Jingyuan Wang

Wayne Xin Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multimodal Meta-Learning for Cold-Start Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ID-Agnostic User Behavior Pre-training for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Information Retrieval - 28th China Conference, 2022

Debiased Contrastive Learning of Unsupervised Sentence Representations.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

[BibT_eX]

[DOI]

CoRR, 2021

Pre-Trained Models: Past, Present and Future.

[BibT_eX]

[DOI]

CoRR, 2021

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Pretrained Language Models for Text Generation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2021

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Pre-trained models: Past, present and future.

[BibT_eX]

[DOI]

AI Open, 2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Counterfactual Data-Augmented Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Knowledge-based Review Generation by Coherence Enhanced Text Planning.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2021

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Debiasing Learning based Cross-domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pretrained Language Model for Text Generation: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

LibCity: An Open Library for Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Causally Attentive Collaborative Filtering.

[BibT_eX]

[DOI]

Jingsen Zhang

Xu Chen

Wayne Xin Zhao

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Counterfactual Review-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation.

[BibT_eX]

[DOI]

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Dual Sparse Attention Network For Session-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Semantic Representations from Directed Social Links to Tag Microblog Users at Scale.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2020

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.

[BibT_eX]

[DOI]

CoRR, 2020

Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Sequential Recommendation with Self-Attentive Multi-Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning Effective Road Network Representation with Hierarchical Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Towards Topic-Guided Conversational Recommender System.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Leveraging Historical Interaction Data for Improving Conversational Recommender System.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Heterogeneous Information Network Embedding for Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites".

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems.

[BibT_eX]

[DOI]

Data Intell., 2019

A Long-Short Demands-Aware Model for Next-Item Recommendation.

[BibT_eX]

[DOI]

CoRR, 2019

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Supervised Hierarchical Cross-Modal Hashing.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Neural Citation Count Prediction Model based on Peer Review Text.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

News Graph: An Enhanced Knowledge Graph for News Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2018

Supervised Search Result Diversification via Subtopic Attention.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Linking Fine-Grained Locations in User Comments.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

A time-aware trajectory embedding model for next-location recommendation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

An Attribute-aware Neural Attentive Model for Next Basket Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Linking Fine-Grained Locations in User Comments (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), 2018

Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Neural Labeled Network Embedding Approach to Product Adopter Prediction.

[BibT_eX]

[DOI]

Proceedings of the Information Retrieval Technology, 2018

Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

hyperdoc2vec: Distributed Representations of Hypertext Documents.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Version-Aware Rating Prediction for Mobile App Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2017

A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2017

Local Representative-Based Matrix Factorization for Cold-Start Recommendation.

[BibT_eX]

[DOI]

Lei Shi

Wayne Xin Zhao

Yi-Dong Shen

ACM Trans. Inf. Syst., 2017

Mining collective knowledge: inferring functional labels from online review for business.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks.

[BibT_eX]

[DOI]

Jun Yin

Wayne Xin Zhao

Xiaoming Li

J. Comput. Sci. Technol., 2017

An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2017

Ranking and tagging bursty features in text streams with context language models.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2017

Learning to Diversify Search Results via Subtopic Attention.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Correlated Topic Model Using Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Neural Collaborative Filtering Model with Interaction-based Neighborhood.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images.

[BibT_eX]

[DOI]

Proceedings of the Information Retrieval Technology, 2017

Probabilistic Local Matrix Factorization Based on User Reviews.

[BibT_eX]

[DOI]

Proceedings of the Information Retrieval Technology, 2017

2016

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs.

[BibT_eX]

[DOI]

World Wide Web, 2016

A Probabilistic Lifestyle-Based Trajectory Model for Social Strength Inference from Human Trajectory Data.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2016

A General Multi-Context Embedding Model for Mining Human Trajectory Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Mining Product Adopter Information from Online Reviews for Improving Product Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Exploring demographic information in social media for product recommendation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Generating timeline summaries with social media attention.

[BibT_eX]

[DOI]

Wayne Xin Zhao

Ji-Rong Wen

Xiaoming Li

Frontiers Comput. Sci., 2016

A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories.

[BibT_eX]

[DOI]

CoRR, 2016

Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Distributed Representations for Recommender Systems with a Network Embedding Approach.

[BibT_eX]

[DOI]

Wayne Xin Zhao

Jin Huang

Ji-Rong Wen

Proceedings of the Information Retrieval Technology, 2016

Tweet Timeline Generation with Determinantal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A General SIMD-Based Approach to Accelerating Compression Algorithms.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2015

Incorporating Social Role Theory into Topic Models for Social Media Content Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Leveraging Product Adopter Information from Online Reviews for Product Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Tweet Timeline Generation via Graph-Based Dynamic Greedy Clustering.

[BibT_eX]

[DOI]

Proceedings of the Information Retrieval Technology, 2015

Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Infer User Interests via Link Structure Regularization.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2014

We know what you want to buy: a demographic-based system for product recommendation on microblogs.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites.

[BibT_eX]

[DOI]

Proceedings of the COLING 2014, 2014

2013

A Metric Learning Based Approach to Evaluate Task-Specific Time Series Similarity.

[BibT_eX]

[DOI]

Proceedings of the Web-Age Information Management - 14th International Conference, 2013

Timeline generation with social attention.

[BibT_eX]

[DOI]

Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs.

[BibT_eX]

[DOI]

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Originator or propagator?: incorporating social role theory into topic models for twitter content analysis.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Group-Scheme: SIMD-based compression algorithms for web text data.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Position-Aligned Translation Model for Citation Recommendation.

[BibT_eX]

[DOI]

Proceedings of the String Processing and Information Retrieval, 2012

EventSearch: a system for event discovery and retrieval on multi-type historical data.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Identifying Event-related Bursts via Social Media Activities.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Joint Learning for Coreference Resolution with Markov Logic.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Visualizing timelines: evolutionary summarization via iterative reinforcement between text and image streams.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Using Lexical and Thematic Knowledge for Name Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the Information Retrieval Technology, 2012

2011

Efficiently collecting relevance information from clickthroughs for web retrieval system evaluation.

[BibT_eX]

[DOI]

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Comparing Twitter and Traditional Media Using Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2011

Efficient phrase querying with flat position index.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Topical Keyphrase Extraction from Twitter.

[BibT_eX]

[DOI]

Palakorn Achananuparp

Ee-Peng Lim

Xiaoming Li

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid.

[BibT_eX]

[DOI]

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Context modeling for ranking and tagging bursty features in text streams.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Wayne Xin Zhao

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