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2020 – today
- 2023
[b1]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. The Information Retrieval Series 44, Springer 2023, ISBN 978-3-031-23079-0, pp. 1-192- [i53]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. CoRR abs/2302.03754 (2023) - 2022
- [c71]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. ACL (Findings) 2022: 4008-4020 - [c70]Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk:
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. EMNLP 2022: 1462-1479 - [c69]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. EMNLP 2022: 5692-5698 - [c68]Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao:
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. EMNLP 2022: 6639-6654 - [c67]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR 2022 - [c66]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. SIGIR 2022: 1956-1962 - [c65]Arnold Overwijk, Chenyan Xiong, Jamie Callan:
ClueWeb22: 10 Billion Web Documents with Rich Information. SIGIR 2022: 3360-3362 - [i52]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. CoRR abs/2201.05176 (2022) - [i51]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR abs/2204.03243 (2022) - [i50]Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao:
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR abs/2204.06644 (2022) - [i49]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. CoRR abs/2205.01886 (2022) - [i48]Zhenghao Liu, Han Zhang, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Xiaohua Li:
Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder. CoRR abs/2205.03284 (2022) - [i47]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Multi-Modality Retrieval with One Unified Embedding Space. CoRR abs/2209.00179 (2022) - [i46]Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk:
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. CoRR abs/2210.15212 (2022) - [i45]Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao:
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives. CoRR abs/2210.17167 (2022) - [i44]Arnold Overwijk, Chenyan Xiong, Xiao Liu, Cameron VandenBerg, Jamie Callan:
ClueWeb22: 10 Billion Web Documents with Rich Information. CoRR abs/2211.15848 (2022) - 2021
- [c64]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. AAAI 2021: 13666-13674 - [c63]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. ACL/IJCNLP (1) 2021: 5030-5043 - [c62]HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. CIKM 2021: 3592-3596 - [c61]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Contrastive Multi-document Question Generation. EACL 2021: 12-30 - [c60]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. EMNLP (Findings) 2021: 1684-1690 - [c59]Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. EMNLP (1) 2021: 2780-2791 - [c58]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation. EMNLP (1) 2021: 9612-9622 - [c57]Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk:
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. ICLR 2021 - [c56]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
:
More Robust Dense Retrieval with Contrastive Dual Learning. ICTIR 2021: 287-296 - [c55]Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD 2021: 3717-3725 - [c54]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. NAACL-HLT 2021: 4635-4641 - [c53]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS 2021: 23102-23114 - [c52]Si Sun, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Jie Bao:
Capturing Global Informativeness in Open Domain Keyphrase Extraction. NLPCC (2) 2021: 275-287 - [c51]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. SIGIR 2021: 829-838 - [c50]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu, Maosong Sun:
OpenMatch: An Open Source Library for Neu-IR Research. SIGIR 2021: 2531-2535 - [i43]Zhenghao Liu, Kaitao Zhang, Chenyan Xiong, Zhiyuan Liu:
OpenMatch: An Open-Source Package for Information Retrieval. CoRR abs/2102.00166 (2021) - [i42]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR abs/2102.08473 (2021) - [i41]Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. CoRR abs/2102.09206 (2021) - [i40]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. CoRR abs/2103.01863 (2021) - [i39]Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber:
Complex Factoid Question Answering with a Free-Text Knowledge Graph. CoRR abs/2103.12876 (2021) - [i38]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval. CoRR abs/2104.05883 (2021) - [i37]Shi Yu, Zhenghao Liu, Chenyan Xiong, Tao Feng, Zhiyuan Liu:
Few-Shot Conversational Dense Retrieval. CoRR abs/2105.04166 (2021) - [i36]Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR abs/2106.13375 (2021) - [i35]Yizhi Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
More Robust Dense Retrieval with Contrastive Dual Learning. CoRR abs/2107.07773 (2021) - [i34]HongChien Yu, Chenyan Xiong, Jamie Callan:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. CoRR abs/2108.13454 (2021) - [i33]Huiyuan Xie, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Ann A. Copestake:
TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling. CoRR abs/2109.04562 (2021) - [i32]Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III:
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation. CoRR abs/2110.04889 (2021) - [i31]Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul N. Bennett:
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. CoRR abs/2110.07581 (2021) - 2020
- [j4]Tara Safavi, Edgar Meij, Fatma Özcan, Miriam Redi, Gianluca Demartini, Chenyan Xiong:
Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020. SIGIR Forum 54(2): 8:1-8:9 (2020) - [c49]Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. AAAI 2020: 7911-7918 - [c48]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs. ACL 2020: 2031-2043 - [c47]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Fine-grained Fact Verification with Kernel Graph Attention Network. ACL 2020: 7342-7351 - [c46]Zhenghao Liu, Chenyan Xiong, Zhuyun Dai, Si Sun, Maosong Sun, Zhiyuan Liu:
Generalizing Open Domain Fact Extraction and Verification to COVID-FACT thorough In-Domain Language Modeling. EMNLP (Findings) 2020: 2395-2400 - [c45]Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang:
Long Document Ranking with Query-Directed Sparse Transformer. EMNLP (Findings) 2020: 4594-4605 - [c44]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) 2020: 9006-9017 - [c43]Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary:
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. ICLR 2020 - [c42]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. NeurIPS 2020 - [c41]Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen:
Knowledge Enhanced Personalized Search. SIGIR 2020: 709-718 - [c40]Chen Qu, Chenyan Xiong, Yizhe Zhang, Corby Rosset, W. Bruce Croft, Paul N. Bennett:
Contextual Re-Ranking with Behavior Aware Transformers. SIGIR 2020: 1589-1592 - [c39]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. SIGIR 2020: 1933-1936 - [c38]Jeffrey Dalton, Chenyan Xiong, Vaibhav Kumar, Jamie Callan:
CAsT-19: A Dataset for Conversational Information Seeking. SIGIR 2020: 1985-1988 - [c37]Jianfeng Gao, Chenyan Xiong, Paul Bennett:
Recent Advances in Conversational Information Retrieval. SIGIR 2020: 2421-2424 - [c36]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
CAsT 2020: The Conversational Assistance Track Overview. TREC 2020 - [c35]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. WWW 2020: 474-485 - [c34]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW 2020: 486-497 - [c33]Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett:
Leading Conversational Search by Suggesting Useful Questions. WWW 2020: 1160-1170 - [c32]Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber:
Complex Factoid Question Answering with a Free-Text Knowledge Graph. WWW 2020: 1205-1216 - [i30]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR abs/2001.09522 (2020) - [i29]Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. CoRR abs/2001.10382 (2020) - [i28]Jeffrey Dalton, Chenyan Xiong, Jamie Callan:
TREC CAsT 2019: The Conversational Assistance Track Overview. CoRR abs/2003.13624 (2020) - [i27]Si Sun, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Jie Bao:
Joint Keyphrase Chunking and Salience Ranking with BERT. CoRR abs/2004.13639 (2020) - [i26]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. CoRR abs/2006.05009 (2020) - [i25]Corby Rosset, Chenyan Xiong, Minh Phan, Xia Song, Paul N. Bennett, Saurabh Tiwary:
Knowledge-Aware Language Model Pretraining. CoRR abs/2007.00655 (2020) - [i24]Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, Arnold Overwijk:
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. CoRR abs/2007.00808 (2020) - [i23]Edgar Meij, Tara Safavi, Chenyan Xiong, Gianluca Demartini, Miriam Redi, Fatma Özcan:
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020. CoRR abs/2007.11659 (2020) - [i22]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR abs/2010.07245 (2020) - [i21]Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang:
Long Document Ranking with Query-Directed Sparse Transformer. CoRR abs/2010.12683 (2020) - [i20]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020) - [i19]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. CoRR abs/2011.05268 (2020) - [i18]Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett:
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. CoRR abs/2012.14862 (2020)
2010 – 2019
- 2019
- [j3]Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij:
Special issue on knowledge graphs and semantics in text analysis and retrieval. Inf. Retr. J. 22(3-4): 229-231 (2019) - [c31]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. ACL (1) 2019: 5624-5634 - [c30]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CCL 2019: 105-116 - [c29]Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk:
Open Domain Web Keyphrase Extraction Beyond Language Modeling. EMNLP/IJCNLP (1) 2019: 5174-5183 - [c28]Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu:
Neural Document Expansion with User Feedback. ICTIR 2019: 105-108 - [c27]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. SIGIR 2019: 65-74 - [c26]Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. SIGIR 2019: 981-984 - [i17]Corby Rosset, Bhaskar Mitra, Chenyan Xiong, Nick Craswell, Xia Song, Saurabh Tiwary:
An Axiomatic Approach to Regularizing Neural Ranking Models. CoRR abs/1904.06808 (2019) - [i16]Yifan Qiao, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Understanding the Behaviors of BERT in Ranking. CoRR abs/1904.07531 (2019) - [i15]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. CoRR abs/1905.11553 (2019) - [i14]Hongfei Zhang, Xia Song, Chenyan Xiong, Corby Rosset, Paul N. Bennett, Nick Craswell, Saurabh Tiwary:
Generic Intent Representation in Web Search. CoRR abs/1907.10710 (2019) - [i13]Yue Yin, Chenyan Xiong, Cheng Luo, Zhiyuan Liu:
Neural Document Expansion with User Feedback. CoRR abs/1908.02938 (2019) - [i12]Hiroaki Hayashi, Zecong Hu, Chenyan Xiong, Graham Neubig:
Latent Relation Language Models. CoRR abs/1908.07690 (2019) - [i11]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Explore Entity Embedding Effectiveness in Entity Retrieval. CoRR abs/1908.10554 (2019) - [i10]Zhenghao Liu, Chenyan Xiong, Maosong Sun:
Kernel Graph Attention Network for Fact Verification. CoRR abs/1910.09796 (2019) - [i9]Lee Xiong, Chuan Hu, Chenyan Xiong, Daniel Campos, Arnold Overwijk:
Open Domain Web Keyphrase Extraction Beyond Language Modeling. CoRR abs/1911.02671 (2019) - [i8]Houyu Zhang, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu:
Conversation Generation with Concept Flow. CoRR abs/1911.02707 (2019) - [i7]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. CoRR abs/1911.03047 (2019) - 2018
- [j2]Chenyan Xiong:
Text Representation, Retrieval, and Understanding with Knowledge Graphs. SIGIR Forum 52(2): 180-181 (2018) - [c25]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. ACL (1) 2018: 2395-2405 - [c24]Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. EMNLP 2018: 1226-1236 - [c23]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. SIGIR 2018: 575-584 - [c22]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. SIGIR 2018: 961-964 - [c21]Laura Dietz, Chenyan Xiong, Jeff Dalton, Edgar Meij:
The Second Workshop on Knowledge Graphs and Semantics for Text Retrieval, Analysis, and Understanding (KG4IR). SIGIR 2018: 1423-1426 - [c20]Gustavo Gonçalves, João Magalhães, Chenyan Xiong, Jamie Callan:
Improving Ad Hoc Retrieval With Bag Of Entities. TREC 2018 - [c19]Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. WSDM 2018: 126-134 - [c18]Bin Wu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Query Suggestion with Feedback Memory Network. WWW 2018: 1563-1571 - [i6]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Tie-Yan Liu:
Towards Better Text Understanding and Retrieval through Kernel Entity Salience Modeling. CoRR abs/1805.01334 (2018) - [i5]Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu:
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval. CoRR abs/1805.07591 (2018) - [i4]Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. CoRR abs/1809.00647 (2018) - [i3]Mary Arpita Pyreddy, Varshini Ramaseshan, Narendra Nath Joshi, Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Consistency and Variation in Kernel Neural Ranking Model. CoRR abs/1809.10522 (2018) - 2017
- [j1]Laura Dietz, Chenyan Xiong, Edgar Meij:
Overview of The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR). SIGIR Forum 51(3): 139-144 (2017) - [c17]Chenyan Xiong, Zhengzhong Liu, Jamie Callan, Eduard H. Hovy:
JointSem: Combining Query Entity Linking and Entity based Document Ranking. CIKM 2017: 2391-2394 - [c16]Cheng Luo, Tetsuya Sakai, Yiqun Liu, Zhicheng Dou, Chenyan Xiong, Jingfang Xu:
Overview of the NTCIR-13 We Want Web Task. NTCIR 2017 - [c15]Zhuyun Dai, Chenyan Xiong, Jamie Callan:
An Evaluation of the Kernel Based Neural Ranking Model in NTCIR-13 WWW. NTCIR 2017 - [c14]Hongyu Li, Chenyan Xiong, Jamie Callan:
Natural Language Supported Relation Matching for Question Answering with Knowledge Graphs. KG4IR@SIGIR 2017: 43-48 - [c13]Chenyan Xiong, Zhuyun Dai, Jamie Callan, Zhiyuan Liu, Russell Power:
End-to-End Neural Ad-hoc Ranking with Kernel Pooling. SIGIR 2017: 55-64 - [c12]Chenyan Xiong, Jamie Callan, Tie-Yan Liu:
Word-Entity Duet Representations for Document Ranking. SIGIR 2017: 763-772 - [c11]Faegheh Hasibi, Fedor Nikolaev, Chenyan Xiong, Krisztian Balog, Svein Erik Bratsberg, Alexander Kotov, Jamie Callan:
DBpedia-Entity v2: A Test Collection for Entity Search. SIGIR 2017: 1265-1268 - [c10]