Information Retrieval Technology: 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, China, November 7–9, 2019, Proceedings
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Wai Lam | Lun-Wei Ku | Haoran Xie | Tianyong Hao | Aixin Sun | Tak-Lam Wong | Xiaohui Tao | Wei Chen | Wai Lam | Aixin Sun | Lun-Wei Ku | Haoran Xie | Xiaohui Tao | Tak-Lam Wong | Tianyong Hao | Wei Chen
[1] W. Bruce Croft,et al. Neural Ranking Models with Weak Supervision , 2017, SIGIR.
[2] J. Shane Culpepper,et al. Revisiting Spam Filtering in Web Search , 2018, ADCS.
[3] Thorsten Joachims,et al. Training linear SVMs in linear time , 2006, KDD '06.
[4] Su-Cheng Haw,et al. Comparing DBpedia, Wikidata, and YAGO for Web Information Retrieval , 2019 .
[5] W. Bruce Croft,et al. Ranking Documents by Answer-Passage Quality , 2018, SIGIR.
[6] Chi-Yin Chow,et al. iGSLR: personalized geo-social location recommendation: a kernel density estimation approach , 2013, SIGSPATIAL/GIS.
[7] Arkaitz Zubiaga,et al. Detection and Resolution of Rumours in Social Media , 2017, ACM Comput. Surv..
[8] Jian Su,et al. Supervised and Traditional Term Weighting Methods for Automatic Text Categorization , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Tetsuya Sakai. Unanimity-Aware Gain for Highly Subjective Assessments , 2017, EVIA@NTCIR.
[10] Hoang Long Nguyen,et al. Social event decomposition for constructing knowledge graph , 2019, Future Gener. Comput. Syst..
[11] Qiaozhu Mei,et al. Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts , 2015, WWW.
[12] Andrew Y. Ng,et al. Parsing Natural Scenes and Natural Language with Recursive Neural Networks , 2011, ICML.
[13] Eugene Agichtein,et al. Predicting information seeker satisfaction in community question answering , 2008, SIGIR '08.
[14] Qing Yang,et al. Predicting Best Answerers for New Questions in Community Question Answering , 2010, WAIM.
[15] Fabio Crestani,et al. A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation , 2019, IEEE Transactions on Knowledge and Data Engineering.
[16] Tamer Elsayed,et al. Improving Arabic Microblog Retrieval with Distributed Representations , 2019, AIRS.
[17] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[18] Cícero Nogueira dos Santos,et al. Learning Character-level Representations for Part-of-Speech Tagging , 2014, ICML.
[19] Justin Zobel,et al. How reliable are the results of large-scale information retrieval experiments? , 1998, SIGIR '98.
[20] Barbara Poblete,et al. Information credibility on twitter , 2011, WWW.
[21] Mohsen Afsharchi,et al. A social recommendation method based on an adaptive neighbor selection mechanism , 2017, Inf. Process. Manag..
[22] James Fan,et al. Learning to rank for robust question answering , 2012, CIKM.
[23] Dragomir R. Radev,et al. Rumor has it: Identifying Misinformation in Microblogs , 2011, EMNLP.
[24] Alistair Moffat,et al. A similarity measure for indefinite rankings , 2010, TOIS.
[25] Craig MacDonald,et al. Hypothesis testing for the risk-sensitive evaluation of retrieval systems , 2014, SIGIR.
[26] Jürgen Schmidhuber,et al. Framewise phoneme classification with bidirectional LSTM and other neural network architectures , 2005, Neural Networks.
[27] Ling Liu,et al. Encyclopedia of Database Systems , 2009, Encyclopedia of Database Systems.
[28] W. Bruce Croft,et al. A Deep Relevance Matching Model for Ad-hoc Retrieval , 2016, CIKM.
[29] Jonathan G. Fiscus,et al. Topic detection and tracking evaluation overview , 2002 .
[30] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[31] Arkaitz Zubiaga,et al. Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media , 2016, ArXiv.
[32] Tetsuya Sakai,et al. Metrics, Statistics, Tests , 2013, PROMISE Winter School.
[33] Nick Craswell,et al. Learning to Match using Local and Distributed Representations of Text for Web Search , 2016, WWW.
[34] Murat Saraclar,et al. Lattice Indexing for Spoken Term Detection , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[35] Xueqi Cheng,et al. Text Matching as Image Recognition , 2016, AAAI.
[36] Rohini K. Srihari,et al. Biterm language models for document retrieval , 2002, SIGIR '02.
[37] Xiaoli Li,et al. Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation , 2015, SIGIR.
[38] W. Bruce Croft,et al. A Markov random field model for term dependencies , 2005, SIGIR '05.
[39] Zhiyuan Liu,et al. End-to-End Neural Ad-hoc Ranking with Kernel Pooling , 2017, SIGIR.
[40] W. Bruce Croft,et al. Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval , 2016, ECIR.
[41] Christopher C. Johnson. Logistic Matrix Factorization for Implicit Feedback Data , 2014 .
[42] Scott Dick,et al. Incorporating Spatial, Temporal, and Social Context in Recommendations for Location-Based Social Networks , 2016, IEEE Transactions on Computational Social Systems.
[43] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[44] Hend Suliman Al-Khalifa,et al. An experimental system for measuring the credibility of news content in Twitter , 2011, Int. J. Web Inf. Syst..
[45] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[46] Xiaoyong Du,et al. Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification , 2016, COLING.
[47] Urvesh Bhowan,et al. Genetic Programming for Feature Selection and Question-Answer Ranking in IBM Watson , 2015, EuroGP.
[48] Michael Weintraub,et al. Keyword-spotting using SRI's DECIPHER large-vocabulary speech-recognition system , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[49] W. Bruce Croft,et al. A framework to predict the quality of answers with non-textual features , 2006, SIGIR.
[50] Bhaskar Mitra,et al. Improving Document Ranking with Dual Word Embeddings , 2016, WWW.
[51] David E. Losada,et al. When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections , 2018, J. Assoc. Inf. Sci. Technol..
[52] Tapas Kanungo,et al. Machine Learned Sentence Selection Strategies for Query-Biased Summarization , 2008 .
[53] Suhrid Balakrishnan,et al. Collaborative ranking , 2012, WSDM '12.
[54] Jun Wang,et al. Bias-variance decomposition of ir evaluation , 2013, SIGIR.
[55] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[56] Jun Wang,et al. Generalized Bias-Variance Evaluation of TREC Participated Systems , 2014, CIKM.
[57] A. Tversky,et al. Advances in prospect theory: Cumulative representation of uncertainty , 1992 .
[58] Hang Li,et al. Convolutional Neural Network Architectures for Matching Natural Language Sentences , 2014, NIPS.
[59] Fred Popowich,et al. QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph , 2018, INTEXSEMPAR.
[60] Chao Liu,et al. Mining Control Flow Abnormality for Logic Error Isolation , 2006, SDM.
[61] Luo Si,et al. A probabilistic graphical model for joint answer ranking in question answering , 2007, SIGIR.
[62] Mohammed Abdellaoui,et al. Eliciting Prospect Theory When Consequences Are Measured in Time Units: "Time Is Not Money" , 2014, Manag. Sci..
[63] Jakob Grue Simonsen,et al. Non-Compositional Term Dependence for Information Retrieval , 2015, SIGIR.
[64] Roberto Basili,et al. Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification , 2007, ACL.
[65] Fabio Crestani,et al. Venue Appropriateness Prediction for Personalized Context-Aware Venue Suggestion , 2017, SIGIR.
[66] Andrew Whinston,et al. The Dynamics of Online Word-of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry , 2008 .
[67] Xiaomo Liu,et al. Real-time Rumor Debunking on Twitter , 2015, CIKM.
[68] Peng Jiang,et al. Multi-Source Pointer Network for Product Title Summarization , 2018, CIKM.
[69] Bo Pang,et al. Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales , 2005, ACL.
[70] Wei Gao,et al. Rumor Detection on Twitter with Tree-structured Recursive Neural Networks , 2018, ACL.
[71] Raquel Trillo Lado,et al. Wikidata and DBpedia: A Comparative Study , 2017, International KEYSTONE Conference.
[72] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[73] Gareth J. F. Jones,et al. Representing Documents and Queries as Sets of Word Embedded Vectors for Information Retrieval , 2016, ArXiv.
[74] Jun Zhao,et al. Inner Attention based Recurrent Neural Networks for Answer Selection , 2016, ACL.
[75] James Mayfield,et al. Comparing cross-language query expansion techniques by degrading translation resources , 2002, SIGIR '02.
[76] L. Harlow,et al. What if there were no significance tests , 1997 .
[77] Yann LeCun,et al. Very Deep Convolutional Networks for Natural Language Processing , 2016, ArXiv.
[78] Jason J. Jung,et al. Detecting Emerging Rumors by Embedding Propagation Graphs , 2019, AIRS.
[79] Douglas W. Oard,et al. Probabilistic structured query methods , 2003, SIGIR.
[80] Peng Zhang,et al. IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models , 2017, SIGIR.
[81] Vincent Ng,et al. Modeling and Prediction of Online Product Review Helpfulness: A Survey , 2018, ACL.
[82] M. de Rijke,et al. Short Text Similarity with Word Embeddings , 2015, CIKM.
[83] Tiejun Zhao,et al. HIT at TREC 2012 Microblog Track , 2012, TREC.
[84] Tatsuya Harada,et al. DualNet: Domain-invariant network for visual question answering , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[85] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[86] Jun Zhou,et al. Multi-Domain Gated CNN for Review Helpfulness Prediction , 2019, WWW.
[87] Paul N. Bennett,et al. Robust ranking models via risk-sensitive optimization , 2012, SIGIR '12.
[88] Daniele Bonadiman,et al. Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking , 2016, NAACL.
[89] Huan Liu,et al. Exploring temporal effects for location recommendation on location-based social networks , 2013, RecSys.
[90] W. Bruce Croft,et al. Indri : A language-model based search engine for complex queries ( extended version ) , 2005 .
[91] Gokhan Tur,et al. Spoken Language Understanding: Systems for Extracting Semantic Information from Speech , 2011 .
[92] Craig MacDonald,et al. University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks , 2014, TREC.
[93] Joost Berkhout. Google's PageRank algorithm for ranking nodes in general networks , 2016, 2016 13th International Workshop on Discrete Event Systems (WODES).
[94] José Rodríguez,et al. An Attention Mechanism for Neural Answer Selection Using a Combined Global and Local View , 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).
[95] Kazuhiro Seki,et al. Improving pseudo-relevance feedback via tweet selection , 2013, CIKM.
[96] Falk Scholer,et al. User performance versus precision measures for simple search tasks , 2006, SIGIR.
[97] J. Shane Culpepper,et al. Towards Efficient and Effective Query Variant Generation , 2018, DESIRES.
[98] Cheng Luo,et al. Overview of the NTCIR-13 We Want Web Task , 2017, NTCIR.
[99] Tomas Mikolov,et al. Bag of Tricks for Efficient Text Classification , 2016, EACL.
[100] David Carmel,et al. Query Expansion for Email Search , 2017, SIGIR.
[101] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[102] Fabio Crestani,et al. A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion , 2018, ICTIR.
[103] Gareth J. F. Jones,et al. Overview of the CLEF-2005 Cross-Language Speech Retrieval Track , 2005, CLEF.
[104] J. Shane Culpepper,et al. Risk-Reward Trade-offs in Rank Fusion , 2017, ADCS.
[105] Eugene Agichtein,et al. Finding the right facts in the crowd: factoid question answering over social media , 2008, WWW.
[106] Wei Gao,et al. Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning , 2017, ACL.
[107] Hugo Zaragoza,et al. The Probabilistic Relevance Framework: BM25 and Beyond , 2009, Found. Trends Inf. Retr..
[108] Ido Dagan,et al. context2vec: Learning Generic Context Embedding with Bidirectional LSTM , 2016, CoNLL.
[109] Timothy J. Hazen,et al. Retrieval and browsing of spoken content , 2008, IEEE Signal Processing Magazine.
[110] Jaap Kamps,et al. University of Amsterdam at TREC 2014: Contextual Suggestion and Web Tracks , 2014 .
[111] Christopher J. C. Burges,et al. From RankNet to LambdaRank to LambdaMART: An Overview , 2010 .
[112] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[113] Bowen Zhou,et al. Improved Representation Learning for Question Answer Matching , 2016, ACL.
[114] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[115] Xiaoyong Du,et al. Initializing Convolutional Filters with Semantic Features for Text Classification , 2017, EMNLP.
[116] Teruko Mitamura,et al. Language-independent Probabilistic Answer Ranking for Question Answering , 2007, ACL.
[117] Alan Hanjalic,et al. Statistical Significance Testing in Information Retrieval: An Empirical Analysis of Type I, Type II and Type III Errors , 2019, SIGIR.
[118] Haoran Xie,et al. A Weighted Word Embedding Model for Text Classification , 2019, DASFAA.
[119] Noriko Kando,et al. On information retrieval metrics designed for evaluation with incomplete relevance assessments , 2008, Information Retrieval.
[120] Richard M. Schwartz,et al. Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech , 2019, SIGIR.
[121] Kenny Q. Zhu,et al. False rumors detection on Sina Weibo by propagation structures , 2015, 2015 IEEE 31st International Conference on Data Engineering.
[122] Nan Hua,et al. Universal Sentence Encoder , 2018, ArXiv.
[123] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[124] Zhiyuan Liu,et al. Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search , 2018, WSDM.
[125] Van Hai Do,et al. A study on LVCSR and keyword search for tagalog , 2013, INTERSPEECH.
[126] Noriko Kando,et al. Evaluation of Information Access Technologies at NTCIR Workshop , 2003, CLEF.
[127] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[128] Yehuda Koren,et al. Factor in the neighbors: Scalable and accurate collaborative filtering , 2010, TKDD.
[129] Alistair Moffat,et al. Score standardization for inter-collection comparison of retrieval systems , 2008, SIGIR '08.
[130] Christopher D. Manning,et al. Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models , 2016, ACL.
[131] Madhumangal Pal,et al. Study on centrality measures in social networks: a survey , 2018, Social Network Analysis and Mining.
[132] Tao Wang,et al. Entropy-Based Term Weighting Schemes for Text Categorization in VSM , 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).
[133] Ryen W. White,et al. Overview of the CLEF-2006 Cross-Language Speech Retrieval Track , 2006, CLEF.
[134] Tetsuya Sakai,et al. Statistical Significance, Power, and Sample Sizes: A Systematic Review of SIGIR and TOIS, 2006-2015 , 2016, SIGIR.
[135] Tamer Elsayed,et al. EveTAR: building a large-scale multi-task test collection over Arabic tweets , 2017, Information Retrieval Journal.
[136] Katrina Fenlon,et al. Improving retrieval of short texts through document expansion , 2012, SIGIR '12.
[137] Said Ouatik El Alaoui,et al. Word-embedding-based pseudo-relevance feedback for Arabic information retrieval , 2018, J. Inf. Sci..
[138] Alessandro Moschitti,et al. Building structures from classifiers for passage reranking , 2013, CIKM.
[139] Brendan T. O'Connor,et al. Understanding the Representational Power of Neural Retrieval Models Using NLP Tasks , 2018, ICTIR.
[140] Ryen W. White,et al. Overview of the CLEF-2005 Cross-Language Speech Retrieval Track , 2005, CLEF.
[141] Bo Pang,et al. Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.
[142] Fabio Crestani,et al. Personalized Context-Aware Point of Interest Recommendation , 2018, ACM Trans. Inf. Syst..
[143] Yelong Shen,et al. A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval , 2014, CIKM.
[144] Mark J. F. Gales,et al. Automatic Speech Recognition System Development in the "Wild" , 2018, INTERSPEECH.
[145] Christopher D. Manning,et al. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.
[146] Mohsen Afsharchi,et al. A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems , 2019, Multimedia Tools and Applications.
[147] Bowen Zhou,et al. LSTM-based Deep Learning Models for non-factoid answer selection , 2015, ArXiv.
[148] Ben Carterette,et al. Million Query Track 2007 Overview , 2008, TREC.
[149] Charles L. A. Clarke,et al. Efficient construction of large test collections , 1998, SIGIR '98.
[150] Ryan Cotterell,et al. Morphological Word-Embeddings , 2019, NAACL.
[151] Oren Kurland,et al. Utilizing Passage-Based Language Models for Document Retrieval , 2008, ECIR.
[152] Tamer Elsayed,et al. QU at TREC-2014: Online Clustering with Temporal and Topical Expansion for Tweet Timeline Generation , 2014, TREC.
[153] S. Dewitte,et al. Time-based versus money-based decision making under risk: An experimental investigation , 2015 .
[154] Benjamin C. M. Fung,et al. Detecting breaking news rumors of emerging topics in social media , 2020, Inf. Process. Manag..
[155] Traian Rebedea,et al. Sentence selection with neural networks using string kernels , 2017, KES.
[156] Yue Lu,et al. Exploiting user profile information for answer ranking in cQA , 2012, WWW.
[157] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[158] Alessandro Moschitti,et al. Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks , 2015, SIGIR.
[159] Tetsuya Sakai,et al. Classifying Community QA Questions That Contain an Image , 2018, ICTIR.
[160] Heiko Paulheim,et al. Knowledge graph refinement: A survey of approaches and evaluation methods , 2016, Semantic Web.
[161] Jin Wang,et al. Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification , 2017, IJCAI.
[162] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[163] Andrew McCallum,et al. Maximum Entropy Markov Models for Information Extraction and Segmentation , 2000, ICML.
[164] Stefanos Zafeiriou,et al. ArcFace: Additive Angular Margin Loss for Deep Face Recognition , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[165] Jian-Yun Nie,et al. Empirical Study of Multi-level Convolution Models for IR Based on Representations and Interactions , 2018, ICTIR.
[166] John D. Lafferty,et al. A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.
[167] Xueqi Cheng,et al. A Study of MatchPyramid Models on Ad-hoc Retrieval , 2016, ArXiv.
[168] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[169] J. Shane Culpepper,et al. Presentation Ordering Effects On Assessor Agreement , 2018, CIKM.
[170] Francesco Romani,et al. Ranking a stream of news , 2005, WWW '05.
[171] Lei Guo,et al. Location Regularization-Based POI Recommendation in Location-Based Social Networks , 2018, Inf..
[172] Chandra Bhagavatula,et al. Semi-supervised sequence tagging with bidirectional language models , 2017, ACL.
[173] Chunyan Miao,et al. Personalized point-of-interest recommendation by mining users' preference transition , 2013, CIKM.
[174] Alessandro Moschitti,et al. Automatic Feature Engineering for Answer Selection and Extraction , 2013, EMNLP.
[175] Lin-shan Lee,et al. Spoken document understanding and organization , 2005, IEEE Signal Processing Magazine.
[176] Jinxi Xu,et al. Cross-lingual Information Retrieval Using Hidden Markov Models , 2000, EMNLP.
[177] David A. Hull. Using Structured Queries for Disambiguation in Cross-Language Information Retrieval , 1997 .
[178] R. Rosenthal. The file drawer problem and tolerance for null results , 1979 .
[179] Stephen E. Robertson,et al. Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval , 1994, SIGIR '94.
[180] Richard M. Schwartz,et al. Score normalization and system combination for improved keyword spotting , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[181] Craig MacDonald,et al. Tackling Biased Baselines in the Risk-Sensitive Evaluation of Retrieval Systems , 2014, ECIR.
[182] Wenpu Xing,et al. Weighted PageRank algorithm , 2004, Proceedings. Second Annual Conference on Communication Networks and Services Research, 2004..
[183] Zhong Zhou,et al. Tweet2Vec: Character-Based Distributed Representations for Social Media , 2016, ACL.
[184] Christopher D. Manning,et al. Baselines and Bigrams: Simple, Good Sentiment and Topic Classification , 2012, ACL.
[185] W. Bruce Croft,et al. Evaluation of an inference network-based retrieval model , 1991, TOIS.
[186] Walid Magdy,et al. Hyperlink-extended pseudo relevance feedback for improved microblog retrieval , 2014, SoMeRA@SIGIR.
[187] Eugene Agichtein,et al. Overview of the TREC 2016 LiveQA Track , 2016, TREC.
[188] Hermann Ney,et al. A Systematic Comparison of Various Statistical Alignment Models , 2003, CL.
[189] Claudia Niederée,et al. Multihop Attention Networks for Question Answer Matching , 2018, SIGIR.
[190] Alessandro Moschitti,et al. Learning Adaptable Patterns for Passage Reranking , 2013, CoNLL.
[191] Tetsuya Sakai,et al. How to Run an Evaluation Task - With a Primary Focus on Ad Hoc Information Retrieval , 2019, Information Retrieval Evaluation in a Changing World.
[192] Samhaa R. El-Beltagy,et al. AraVec: A set of Arabic Word Embedding Models for use in Arabic NLP , 2017, ACLING.
[193] Tiejun Huang,et al. A ranking SVM based fusion model for cross-media meta-search engine , 2010, Journal of Zhejiang University SCIENCE C.
[194] W. Bruce Croft,et al. Embedding-based Query Language Models , 2016, ICTIR.
[195] Michael R. Lyu,et al. Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks , 2012, AAAI.
[196] Jennifer Chu-Carroll,et al. Building Watson: An Overview of the DeepQA Project , 2010, AI Mag..
[197] Karen Spärck Jones. A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.
[198] Zhoujun Li,et al. Sequential Match Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots , 2016, ArXiv.
[199] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[200] David E. Losada,et al. Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation , 2016, SAC.
[201] Md. Mustafizur Rahman,et al. Neural information retrieval: at the end of the early years , 2017, Information Retrieval Journal.
[202] Jun Wang,et al. Portfolio theory of information retrieval , 2009, SIGIR.
[203] Zhidong Deng,et al. Densely Connected CNN with Multi-scale Feature Attention for Text Classification , 2018, IJCAI.
[204] Panagiotis G. Ipeirotis,et al. Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics , 2010, IEEE Transactions on Knowledge and Data Engineering.
[205] Donna K. Harman,et al. The TREC Test Collections , 2005 .
[206] Talel Abdessalem,et al. POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences , 2015, RecSys.
[207] Edel Garcia. Latent Semantic Indexing (LSI) A Fast Track Tutorial , 2006 .
[208] Haoran Xie,et al. Weighted N-grams CNN for Text Classification , 2019, AIRS.
[209] Lei Guo,et al. Location perspective-based neighborhood-aware POI recommendation in location-based social networks , 2019, Soft Comput..
[210] Jason J. Jung,et al. Exploiting geotagged resources to spatial ranking by extending HITS algorithm , 2015, Comput. Sci. Inf. Syst..
[211] Justin Zobel,et al. Writing for Computer Science , 2014, Springer London.
[212] Joemon M. Jose,et al. Joint Geo-Spatial Preference and Pairwise Ranking for Point-of-Interest Recommendation , 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).
[213] Nadir Durrani,et al. Farasa: A Fast and Furious Segmenter for Arabic , 2016, NAACL.
[214] Yueting Zhuang,et al. Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning , 2017, AAAI.
[215] Guoyin Wang,et al. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms , 2018, ACL.
[216] Jian-Yun Nie,et al. Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval , 2018, SIGIR.
[217] David A. Hull. Using statistical testing in the evaluation of retrieval experiments , 1993, SIGIR.
[218] Yelong Shen,et al. Learning semantic representations using convolutional neural networks for web search , 2014, WWW.
[219] Mao Ye,et al. Exploiting geographical influence for collaborative point-of-interest recommendation , 2011, SIGIR.
[220] Daben Liu,et al. Speech and language technologies for audio indexing and retrieval , 2000, Proceedings of the IEEE.
[221] Xiang Ji,et al. MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching , 2019, SIGIR.
[222] Bhaskar Mitra,et al. An Introduction to Neural Information Retrieval , 2018, Found. Trends Inf. Retr..
[223] Nelson Morgan,et al. The TAO of ATWV: Probing the mysteries of keyword search performance , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[224] Tao Qin,et al. LETOR: A benchmark collection for research on learning to rank for information retrieval , 2010, Information Retrieval.
[225] Chin-Yew Lin,et al. ROUGE: A Package for Automatic Evaluation of Summaries , 2004, ACL 2004.
[226] Mohsen Afsharchi,et al. Category-Aware Location Embedding for Point-of-Interest Recommendation , 2019, ICTIR.
[227] Fan Yang,et al. Automatic detection of rumor on Sina Weibo , 2012, MDS '12.
[228] James P. Callan,et al. Learning to Reweight Terms with Distributed Representations , 2015, SIGIR.
[229] Heiko Paulheim,et al. One Knowledge Graph to Rule Them All? Analyzing the Differences Between DBpedia, YAGO, Wikidata & co , 2017, KI.
[230] Soo-Min Kim,et al. Automatically Assessing Review Helpfulness , 2006, EMNLP.
[231] Kam-Fai Wong,et al. Ranking model selection and fusion for effective microblog search , 2014, SoMeRA@SIGIR.
[232] Xiaodong Cui,et al. DEVELOPING KEYWORD SEARCH UNDER THE IARPA BABEL PROGRAM , 2013 .
[233] Thierson Couto,et al. Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank , 2016, CIKM.
[234] Jason Weston,et al. Natural Language Processing (Almost) from Scratch , 2011, J. Mach. Learn. Res..
[235] Yi Chang,et al. Adversarial Sampling and Training for Semi-Supervised Information Retrieval , 2018, WWW.
[236] Ellen M. Voorhees,et al. The Philosophy of Information Retrieval Evaluation , 2001, CLEF.
[237] R. H. Knapp,et al. A PSYCHOLOGY OF RUMOR , 1944 .
[238] Qiang Chen,et al. Exploiting Explicit and Implicit Feedback for Personalized Ranking , 2016 .
[239] Iadh Ounis,et al. Incorporating term dependency in the dfr framework , 2007, SIGIR.
[240] Bowen Zhou,et al. Applying deep learning to answer selection: A study and an open task , 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
[241] Nick Craswell,et al. Query Expansion with Locally-Trained Word Embeddings , 2016, ACL.
[242] Ye Zhang,et al. A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification , 2015, IJCNLP.
[243] Xueqi Cheng,et al. DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval , 2017, CIKM.
[244] Meeyoung Cha,et al. Modeling Bursty Temporal Pattern of Rumors , 2014, ICWSM.
[245] Gerard de Melo,et al. A Position-Aware Deep Model for Relevance Matching in Information Retrieval , 2017, ArXiv.
[246] Larry P. Heck,et al. Learning deep structured semantic models for web search using clickthrough data , 2013, CIKM.
[247] Mu-Hsuan Huang,et al. The influence of document presentation order and number of documents judged on users' judgments of relevance , 2004, J. Assoc. Inf. Sci. Technol..
[248] Yonghui Wu,et al. Exploring the Limits of Language Modeling , 2016, ArXiv.
[249] Hoang Long Nguyen,et al. Privacy-Aware Framework for Matching Online Social Identities in Multiple Social Networking Services , 2015, Cybern. Syst..
[250] Claire Cardie,et al. Annotating Expressions of Opinions and Emotions in Language , 2005, Lang. Resour. Evaluation.
[251] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[252] Jeffrey Pomerantz,et al. Evaluating and predicting answer quality in community QA , 2010, SIGIR.
[253] Haoyu Zhang,et al. LSTM-based Deep Learning Models for Answer Ranking , 2016, 2016 IEEE First International Conference on Data Science in Cyberspace (DSC).
[254] Richard Sproat,et al. Lattice-Based Search for Spoken Utterance Retrieval , 2004, NAACL.
[255] W. Bruce Croft,et al. Learning concept importance using a weighted dependence model , 2010, WSDM '10.
[256] Noriko Kando,et al. Using graded-relevance metrics for evaluating community QA answer selection , 2011, WSDM '11.
[257] W. Redmond,et al. Accounting for Stability of Retrieval Algorithms using Risk-Reward Curves , 2009 .
[258] James Allan,et al. When will information retrieval be "good enough"? , 2005, SIGIR '05.
[259] Jianqiang Wang,et al. Matching Meaning for Cross-Language Information Retrieval , 2012, Inf. Process. Manag..
[260] Jun Zhou,et al. Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators , 2018, NAACL.
[261] Timothy W. Finin,et al. Delta TFIDF: An Improved Feature Space for Sentiment Analysis , 2009, ICWSM.
[262] Holger Schwenk,et al. Supervised Learning of Universal Sentence Representations from Natural Language Inference Data , 2017, EMNLP.
[263] Alton Yeow-Kuan Chua,et al. A predictive framework for retrieving the best answer , 2008, SAC '08.
[264] Ari Pirkola,et al. The effects of query structure and dictionary setups in dictionary-based cross-language information retrieval , 1998, SIGIR '98.
[265] Eduard H. Hovy,et al. End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF , 2016, ACL.
[266] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[267] Xueqi Cheng,et al. A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations , 2015, AAAI.
[268] Stephen E. Robertson,et al. Okapi at TREC-7: Automatic Ad Hoc, Filtering, VLC and Interactive , 1998, TREC.
[269] Yang Deng,et al. Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs , 2018, SIGIR.
[270] Youngjoong Ko,et al. Combining lexical and statistical translation evidence for cross‐language information retrieval , 2015, J. Assoc. Inf. Sci. Technol..
[271] Oren Kurland,et al. Query Expansion Using Word Embeddings , 2016, CIKM.
[272] Lin-Shan Lee,et al. Voice-based information retrieval — how far are we from the text-based information retrieval ? , 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.
[273] Jaime G. Carbonell,et al. Rank learning for factoid question answering with linguistic and semantic constraints , 2010, CIKM.
[274] Fabio Crestani,et al. User Model Enrichment for Venue Recommendation , 2016, AIRS.
[275] Craig MacDonald,et al. Risk-Sensitive Evaluation and Learning to Rank using Multiple Baselines , 2016, SIGIR.
[276] Michael Eisenberg,et al. Order effects: A study of the possible influence of presentation order on user judgments of document relevance , 1988, J. Am. Soc. Inf. Sci..
[277] Heiko Paulheim,et al. Detection of Relation Assertion Errors in Knowledge Graphs , 2017, K-CAP.
[278] W. Bruce Croft,et al. A Hybrid Embedding Approach to Noisy Answer Passage Retrieval , 2018, ECIR.
[279] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[280] Sanjeev Khudanpur,et al. Using proxies for OOV keywords in the keyword search task , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.