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ORCIDEmine Yilmaz
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- affiliation: University College London, London, UK
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2020 – today
- 2024
[c131]Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor
, Sahan Bulathwela:
A Toolbox for Modelling Engagement with Educational Videos. AAAI 2024: 23128-23136- [c130]Fares Fawzi, Sarang Balan, Mutlu Cukurova, Emine Yilmaz, Sahan Bulathwela:
Towards Human-Like Educational Question Generation with Small Language Models. AIED Companion (1) 2024: 295-303 - [c129]Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz:
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. EACL (Findings) 2024: 1266-1277 - [c128]Xi Wang, Procheta Sen, Ruizhe Li, Emine Yilmaz:
Simulated Task Oriented Dialogues for Developing Versatile Conversational Agents. ECIR (1) 2024: 157-172 - [c127]Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz:
KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) 2024: 398-402 - [c126]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. SIGIR 2024: 2647-2651 - [c125]Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, Emine Yilmaz:
LLM4Eval: Large Language Model for Evaluation in IR. SIGIR 2024: 3040-3043 - [i55]Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela:
A Toolbox for Modelling Engagement with Educational Videos. CoRR abs/2401.05424 (2024) - [i54]Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu:
Benchmarking LLMs via Uncertainty Quantification. CoRR abs/2401.12794 (2024) - [i53]Hossein A. Rahmani, Xi Wang, Mohammad Aliannejadi, Mohammadmehdi Naghiaei, Emine Yilmaz:
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness. CoRR abs/2402.01934 (2024) - [i52]Hossein A. Rahmani, Nick Craswell, Emine Yilmaz, Bhaskar Mitra, Daniel Campos:
Synthetic Test Collections for Retrieval Evaluation. CoRR abs/2405.07767 (2024) - [i51]Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani:
Instruction Tuning With Loss Over Instructions. CoRR abs/2405.14394 (2024) - [i50]Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz:
Understanding the Role of User Profile in the Personalization of Large Language Models. CoRR abs/2406.17803 (2024) - [i49]Xi Wang, Procheta Sen, Ruizhe Li, Emine Yilmaz:
Adaptive Retrieval-Augmented Generation for Conversational Systems. CoRR abs/2407.21712 (2024) - 2023
- [c124]Hamze Muse, Sahan Bulathwela, Emine Yilmaz:
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract). AAAI 2023: 16288-16289 - [c123]Procheta Sen, Xi Wang, Ruiqing Xu, Emine Yilmaz:
Task2KB: A Public Task-Oriented Knowledge Base. AAAI 2023: 16482-16484 - [c122]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. ACL (1) 2023: 2079-2091 - [c121]Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani:
A Survey on Asking Clarification Questions Datasets in Conversational Systems. ACL (1) 2023: 2698-2716 - [c120]Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao:
Rethinking Semi-supervised Learning with Language Models. ACL (Findings) 2023: 5614-5634 - [c119]Fanghua Ye, Zhiyuan Hu, Emine Yilmaz:
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process. ACL (1) 2023: 8875-8889 - [c118]Sahan Bulathwela, Hamze Muse, Emine Yilmaz:
Scalable Educational Question Generation with Pre-trained Language Models. AIED 2023: 327-339 - [c117]Jordan Massiah, Emine Yilmaz, Yunlong Jiao, Gabriella Kazai:
On the Reliability of User Feedback for Evaluating the Quality of Conversational Agents. CIKM 2023: 4185-4189 - [c116]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. EMNLP (Findings) 2023: 3609-3622 - [c115]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. EMNLP (Findings) 2023: 5985-6006 - [c114]Debasis Ganguly, Emine Yilmaz:
Query-specific Variable Depth Pooling via Query Performance Prediction. SIGIR 2023: 2303-2307 - [i48]Procheta Sen, Xi Wang, Ruiqing Xu, Emine Yilmaz:
Task2KB: A Public Task-Oriented Knowledge Base. CoRR abs/2302.00654 (2023) - [i47]Debasis Ganguly, Emine Yilmaz:
Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort. CoRR abs/2304.11752 (2023) - [i46]Sahan Bulathwela, Hamze Muse, Emine Yilmaz:
Scalable Educational Question Generation with Pre-trained Language Models. CoRR abs/2305.07871 (2023) - [i45]Fanghua Ye, Zhiyuan Hu, Emine Yilmaz:
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process. CoRR abs/2305.12594 (2023) - [i44]Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao:
Rethinking Semi-supervised Learning with Language Models. CoRR abs/2305.13002 (2023) - [i43]Yue Feng, Hossein A. Rahmani, Aldo Lipani, Emine Yilmaz:
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues. CoRR abs/2305.13690 (2023) - [i42]Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz, Aldo Lipani:
A Survey on Asking Clarification Questions Datasets in Conversational Systems. CoRR abs/2305.15933 (2023) - [i41]Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai:
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. CoRR abs/2305.16798 (2023) - [i40]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. CoRR abs/2310.09716 (2023) - [i39]Xi Wang, Hossein A. Rahmani, Jiqun Liu, Emine Yilmaz:
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. CoRR abs/2310.16738 (2023) - 2022
- [j25]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40(2): 21:1-21:5 (2022) - [j24]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40(3): 42:1-42:5 (2022) - [c113]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. ACL (1) 2022: 115-126 - [c112]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. ACL (Findings) 2022: 2719-2731 - [c111]María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz:
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? CHIIR 2022: 90-101 - [c110]Gareth J. F. Jones, Procheta Sen, Debasis Ganguly, Emine Yilmaz:
Workshop on Proactive and Agent-Supported Information Retrieval (PASIR). CIKM 2022: 5167-5168 - [c109]Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. EDM 2022 - [c108]Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz:
MetaASSIST: Robust Dialogue State Tracking with Meta Learning. EMNLP 2022: 1157-1169 - [c107]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. ICLR 2022 - [c106]Emine Yilmaz:
From Search Queries to Conversations in the Design of Information Retrieval and Access Systems. ICTIR 2022: 1 - [c105]Xiao Fu, Emine Yilmaz, Aldo Lipani:
Evaluating the Cranfield Paradigm for Conversational Search Systems. ICTIR 2022: 275-280 - [c104]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. SIGDIAL 2022: 351-360 - [c103]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Fostering Coopetition While Plugging Leaks: The Design and Implementation of the MS MARCO Leaderboards. SIGIR 2022: 2939-2948 - [c102]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin, Ellen M. Voorhees, Ian Soboroff:
Overview of the TREC 2022 Deep Learning Track. TREC 2022 - [c101]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. UMAP (Adjunct Publication) 2022: 85-89 - [c100]Jarana Manotumruksa, Jeffrey Dalton, Edgar Meij, Emine Yilmaz:
Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants. WWW 2022: 2006-2014 - [i38]María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz:
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? CoRR abs/2201.03408 (2022) - [i37]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. CoRR abs/2202.13024 (2022) - [i36]Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, Emine Yilmaz:
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. CoRR abs/2204.06677 (2022) - [i35]Peter Hayes, Mingtian Zhang, Raza Habib, Jordan Burgess, Emine Yilmaz, David Barber:
Integrated Weak Learning. CoRR abs/2206.09496 (2022) - [i34]Rikaz Rameez, Hossein A. Rahmani, Emine Yilmaz:
ViralBERT: A User Focused BERT-Based Approach to Virality Prediction. CoRR abs/2206.10298 (2022) - [i33]Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments. CoRR abs/2207.01504 (2022) - [i32]Giorgio Giannone, Serhii Havrylov, Jordan Massiah, Emine Yilmaz, Yunlong Jiao:
Just Mix Once: Worst-group Generalization by Group Interpolation. CoRR abs/2210.12195 (2022) - [i31]Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz:
MetaASSIST: Robust Dialogue State Tracking with Meta Learning. CoRR abs/2210.12397 (2022) - [i30]Hamze Muse, Sahan Bulathwela, Emine Yilmaz:
Pre-Training With Scientific Text Improves Educational Question Generation. CoRR abs/2212.03869 (2022) - 2021
- [j23]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells:
Guest editorial: special issue on ECIR 2020. Inf. Retr. J. 24(1): 1-2 (2021) - [j22]Gizem Gezici, Aldo Lipani, Yücel Saygin, Emine Yilmaz:
Evaluation metrics for measuring bias in search engine results. Inf. Retr. J. 24(2): 85-113 (2021) - [j21]Aldo Lipani, Ben Carterette, Emine Yilmaz:
How Am I Doing?: Evaluating Conversational Search Systems Offline. ACM Trans. Inf. Syst. 39(4): 51:1-51:22 (2021) - [c99]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Investigating and Mitigating Biases in Crowdsourced Data. CSCW Companion 2021: 331-334 - [c98]Qiang Zhang, Jonathan Cook, Emine Yilmaz:
Detecting and Forecasting Misinformation via Temporal and Geometric Propagation Patterns. ECIR (2) 2021: 455-462 - [c97]Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz:
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation. EMNLP (Findings) 2021: 1674-1683 - [c96]María Pérez-Ortiz, Claire Dormann, Yvonne Rogers, Sahan Bulathwela, Stefan Kreitmayer, Emine Yilmaz, Richard Noss, John Shawe-Taylor:
X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI. IUI Companion 2021: 70-74 - [c95]Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz:
Variational Continual Bayesian Meta-Learning. NeurIPS 2021: 24556-24568 - [c94]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. SIGIR 2021: 1566-1576 - [c93]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. SIGIR 2021: 2283-2287 - [c92]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. SIGIR 2021: 2369-2375 - [c91]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
Overview of the TREC 2021 Deep Learning Track. TREC 2021 - [c90]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. WWW 2021: 1065-1075 - [c89]Qiang Zhang, Aldo Lipani, Emine Yilmaz:
Learning Neural Point Processes with Latent Graphs. WWW 2021: 1495-1505 - [c88]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. WWW 2021: 1598-1608 - [i29]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. CoRR abs/2101.09374 (2021) - [i28]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 deep learning track. CoRR abs/2102.07662 (2021) - [i27]Jimmy Lin, Daniel Campos, Nick Craswell, Bhaskar Mitra, Emine Yilmaz:
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard. CoRR abs/2102.12887 (2021) - [i26]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. CoRR abs/2104.00773 (2021) - [i25]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees, Ian Soboroff:
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime. CoRR abs/2104.09399 (2021) - [i24]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Jimmy Lin:
MS MARCO: Benchmarking Ranking Models in the Large-Data Regime. CoRR abs/2105.04021 (2021) - [i23]Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz:
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR abs/2108.03805 (2021) - [i22]Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. CoRR abs/2108.05152 (2021) - [i21]Sahan Bulathwela, María Pérez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor:
PEEK: A Large Dataset of Learner Engagement with Educational Videos. CoRR abs/2109.03154 (2021) - [i20]Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber:
Sample Efficient Model Evaluation. CoRR abs/2109.12043 (2021) - [i19]Fangyu Liu, Yunlong Jiao, Jordan Massiah, Emine Yilmaz, Serhii Havrylov:
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations. CoRR abs/2109.13059 (2021) - [i18]Aldo Lipani, Florina Piroi, Emine Yilmaz:
Towards More Accountable Search Engines: Online Evaluation of Representation Bias. CoRR abs/2110.08835 (2021) - [i17]Danula Hettiachchi, Mark Sanderson, Jorge Gonçalves, Simo Hosio, Gabriella Kazai, Matthew Lease, Mike Schaekermann, Emine Yilmaz:
Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data. CoRR abs/2111.14322 (2021) - [i16]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems. CoRR abs/2112.04368 (2021) - 2020
- [j20]Andrew Burnie, Emine Yilmaz, Tomaso Aste:
Analysing Social Media Forums to Discover Potential Causes of Phasic Shifts in Cryptocurrency Price Series. Frontiers Blockchain 3: 1 (2020) - [j19]Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
Special issue on learning from user interactions. Inf. Retr. J. 23(6): 525-527 (2020) - [j18]Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz:
Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). SIGIR Forum 54(1): 5:1-5:11 (2020) - [c87]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. AAAI 2020: 565-573 - [c86]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract). AAAI 2020: 13759-13760 - [c85]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. CIKM 2020: 2983-2989 - [c84]Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor:
Predicting Engagement in Video Lectures. EDM 2020 - [c83]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling. EMNLP (Findings) 2020: 2566-2575 - [c82]Qiang Zhang, Aldo Lipani, Ömer Kirnap, Emine Yilmaz:
Self-Attentive Hawkes Process. ICML 2020: 11183-11193 - [c81]Jarana Manotumruksa, Emine Yilmaz:
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation. SIGIR 2020: 2045-2048 - [c80]Jarana Manotumruksa, Jeff Dalton, Edgar Meij, Emine Yilmaz:
CrossBERT: A Triplet Neural Architecture for Ranking Entity Properties. SIGIR 2020: 2049-2052 - [c79]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. SIGIR 2020: 2101-2104 - [c78]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos:
Overview of the TREC 2020 Deep Learning Track. TREC 2020 - [c77]Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz:
SUM'20: State-based User Modelling. WSDM 2020: 899-900 - [e9]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12035, Springer 2020, ISBN 978-3-030-45438-8 [contents] - [e8]Joemon M. Jose, Emine Yilmaz, João Magalhães, Pablo Castells, Nicola Ferro, Mário J. Silva, Flávio Martins:
Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12036, Springer 2020, ISBN 978-3-030-45441-8 [contents] - [i15]Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees:
Overview of the TREC 2019 deep learning track. CoRR abs/2003.07820 (2020) - [i14]Emine Yilmaz, Nick Craswell, Bhaskar Mitra, Daniel Campos:
On the Reliability of Test Collections for Evaluating Systems of Different Types. CoRR abs/2004.13486 (2020) - [i13]Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor:
Predicting Engagement in Video Lectures. CoRR abs/2006.00592 (2020) - [i12]Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz:
Outlier Resilient Collaborative Web Service QoS Prediction. CoRR abs/2006.01287 (2020) - [i11]Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck:
ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Search. CoRR abs/2006.05324 (2020) - [i10]Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor:
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement. CoRR abs/2011.02273 (2020)
2010 – 2019
- 2019
- [j17]Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima:
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. SIGIR Forum 53(2): 20-43 (2019) - [j16]Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas:
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE Trans. Knowl. Data Eng. 31(2): 257-272 (2019) - [c76]Sebastin Santy, Wazeer Zulfikar, Rishabh Mehrotra, Emine Yilmaz:
Towards Task Understanding in Visual Settings. AAAI 2019: 10027-10028 - [c75]Aldo Lipani, Ben Carterette, Emine Yilmaz:
From a User Model for Query Sessions to Session Rank Biased Precision (sRBP). ICTIR 2019: 109-116 - [c74]Andrew Burnie, Emine Yilmaz:
An Analysis of the Change in Discussions on Social Media with Bitcoin Price. SIGIR 2019: 889-892 - [c73]Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz:
From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW 2019: 2323-2332 - [c72]Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz:
Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW 2019: 2333-2343 - [i9]Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz:
Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks. CoRR abs/1907.03693 (2019) - [i8]