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2020 – today
- 2022
[j13]Leila Tavakoli, Hamed Zamani, Falk Scholer, William Bruce Croft, Mark Sanderson:
Analyzing clarification in asynchronous information-seeking conversations. J. Assoc. Inf. Sci. Technol. 73(3): 449-471 (2022)- [i38]Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski:
Conversational Information Seeking. CoRR abs/2201.08808 (2022) - [i37]Hansi Zeng, Hamed Zamani, Vishwa Vinay:
Curriculum Learning for Dense Retrieval Distillation. CoRR abs/2204.13679 (2022) - [i36]Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky:
Retrieval-Enhanced Machine Learning. CoRR abs/2205.01230 (2022) - [i35]Leila Tavakoli, Johanne R. Trippas, Hamed Zamani, Falk Scholer, Mark Sanderson:
MIMICS-Duo: Offline & Online Evaluation of Search Clarification. CoRR abs/2206.04417 (2022) - 2021
- [j12]Mohammad Aliannejadi
, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants. ACM Trans. Inf. Syst. 39(3): 29:1-29:30 (2021) - [j11]Claudia Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang:
Conversational Search and Recommendation: Introduction to the Special Issue. ACM Trans. Inf. Syst. 39(4): 38:1-38:6 (2021) - [j10]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
A flexible framework for evaluating user and item fairness in recommender systems. User Model. User Adapt. Interact. 31(3): 457-511 (2021) - [c60]Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz:
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CHIIR 2021: 5-14 - [c59]Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CIKM 2021: 16-26 - [c58]Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Learning Multiple Intent Representations for Search Queries. CIKM 2021: 669-679 - [c57]Somin Wadhwa, Hamed Zamani:
Towards System-Initiative Conversational Information Seeking. DESIRES 2021: 102-116 - [c56]Hamed Zamani:
Session details: Session 2B - Conversational Search. ICTIR 2021 - [c55]Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani:
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. NeurIPS Datasets and Benchmarks 2021 - [c54]Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR 2021: 1349-1358 - [c53]Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette:
Current Challenges and Future Directions in Podcast Information Access. SIGIR 2021: 1554-1565 - [c52]Yashar Deldjoo, Johanne R. Trippas, Hamed Zamani:
Towards Multi-Modal Conversational Information Seeking. SIGIR 2021: 1577-1587 - [c51]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR 2021: 1697-1702 - [c50]Prafull Prakash, Julian Killingback, Hamed Zamani:
Learning Robust Dense Retrieval Models from Incomplete Relevance Labels. SIGIR 2021: 1728-1732 - [c49]Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller:
Passage Retrieval for Outside-Knowledge Visual Question Answering. SIGIR 2021: 1753-1757 - [c48]Binsheng Liu, Hamed Zamani, Xiaolu Lu, J. Shane Culpepper:
Generalizing Discriminative Retrieval Models using Generative Tasks. WWW 2021: 3745-3756 - [i34]Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants. CoRR abs/2101.03394 (2021) - [i33]Jaime Arguello, Adam Ferguson, Emery Fine, Bhaskar Mitra, Hamed Zamani, Fernando Diaz:
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification. CoRR abs/2101.07124 (2021) - [i32]Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani:
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. CoRR abs/2103.12906 (2021) - [i31]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR abs/2104.09393 (2021) - [i30]Chen Qu, Hamed Zamani, Liu Yang, W. Bruce Croft, Erik G. Learned-Miller:
Passage Retrieval for Outside-Knowledge Visual Question Answering. CoRR abs/2105.03938 (2021) - [i29]Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury:
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR abs/2105.09816 (2021) - [i28]Rosie Jones, Hamed Zamani, Markus Schedl, Ching-Wei Chen, Sravana Reddy, Ann Clifton, Jussi Karlgren, Helia Hashemi, Aasish Pappu, Zahra Nazari, Longqi Yang, Oguz Semerci, Hugues Bouchard, Ben Carterette:
Current Challenges and Future Directions in Podcast Information Access. CoRR abs/2106.09227 (2021) - [i27]Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani, Evangelos Kanoulas, Paul Thomas, Nick Craswell:
Analysing Mixed Initiatives and Search Strategies during Conversational Search. CoRR abs/2109.05955 (2021) - [i26]Neha Nayak Kennard, Tim O'Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, Hamed Zamani, Andrew McCallum:
A Dataset for Discourse Structure in Peer Review Discussions. CoRR abs/2110.08520 (2021) - [i25]Razieh Rahimi, Youngwoo Kim, Hamed Zamani, James Allan:
Explaining Documents' Relevance to Search Queries. CoRR abs/2111.01314 (2021) - 2020
- [j9]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6): 102067 (2020) - [c47]Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell:
MIMICS: A Large-Scale Data Collection for Search Clarification. CIKM 2020: 3189-3196 - [c46]Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani, W. Bruce Croft:
ANTIQUE: A Non-factoid Question Answering Benchmark. ECIR (2) 2020: 166-173 - [c45]Ali Montazeralghaem, Hamed Zamani, James Allan:
A Reinforcement Learning Framework for Relevance Feedback. SIGIR 2020: 59-68 - [c44]Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. SIGIR 2020: 1131-1140 - [c43]Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. SIGIR 2020: 1181-1190 - [c42]Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft:
Recipe Retrieval with Visual Query of Ingredients. SIGIR 2020: 1565-1568 - [c41]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR 2020: 2021-2024 - [c40]Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. SIGIR 2020: 2193-2196 - [c39]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC 2020 - [c38]Hamed Zamani, W. Bruce Croft:
Learning a Joint Search and Recommendation Model from User-Item Interactions. WSDM 2020: 717-725 - [c37]Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck:
Generating Clarifying Questions for Information Retrieval. WWW 2020: 418-428 - [i24]Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani:
Common Conversational Community Prototype: Scholarly Conversational Assistant. CoRR abs/2001.06910 (2020) - [i23]Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury:
Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR abs/2005.04908 (2020) - [i22]Hamed Zamani, Bhaskar Mitra, Everest Chen, Gord Lueck, Fernando Diaz, Paul N. Bennett, Nick Craswell, Susan T. Dumais:
Analyzing and Learning from User Interactions for Search Clarification. CoRR abs/2006.00166 (2020) - [i21]Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. CoRR abs/2006.07548 (2020) - [i20]Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell:
MIMICS: A Large-Scale Data Collection for Search Clarification. CoRR abs/2006.10174 (2020) - [i19]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR abs/2007.10434 (2020) - [i18]Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell:
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. CoRR abs/2011.07368 (2020)
2010 – 2019
- 2019
- [j8]Hamed Zamani:
Neural models for information retrieval without labeled data. SIGIR Forum 53(2): 104-105 (2019) - [j7]Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen:
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. ACM Trans. Intell. Syst. Technol. 10(5): 57:1-57:21 (2019) - [c36]Rajarshi Das, Ameya Godbole, Dilip Kavarthapu, Zhiyu Gong, Abhishek Singhal, Mo Yu, Xiaoxiao Guo, Tian Gao, Hamed Zamani, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. MRQA@EMNLP 2019: 113-118 - [c35]Helia Hashemi, Hamed Zamani, W. Bruce Croft:
Performance Prediction for Non-Factoid Question Answering. ICTIR 2019: 55-58 - [c34]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín Kouki, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. RMSE@RecSys 2019 - [c33]Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. SIGIR 2019: 475-484 - [c32]Mohammad Naseri, Hamed Zamani:
Analyzing and Predicting News Popularity in an Instant Messaging Service. SIGIR 2019: 1053-1056 - [i17]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. CoRR abs/1903.06902 (2019) - [i16]Harshith Padigela, Hamed Zamani, W. Bruce Croft:
Investigating the Successes and Failures of BERT for Passage Re-Ranking. CoRR abs/1905.01758 (2019) - [i15]Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani, W. Bruce Croft:
ANTIQUE: A Non-Factoid Question Answering Benchmark. CoRR abs/1905.08957 (2019) - [i14]Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations. CoRR abs/1907.06554 (2019) - [i13]Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani, Alejandro Bellogín, Tommaso Di Noia:
Recommender Systems Fairness Evaluation via Generalized Cross Entropy. CoRR abs/1908.06708 (2019) - [i12]Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, Andrew McCallum:
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering. CoRR abs/1909.07598 (2019) - [i11]Hamed Zamani, Nick Craswell:
Macaw: An Extensible Conversational Information Seeking Platform. CoRR abs/1912.08904 (2019) - 2018
- [j6]Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi:
Current challenges and visions in music recommender systems research. Int. J. Multim. Inf. Retr. 7(2): 95-116 (2018) - [j5]Shayan A. Tabrizi, Azadeh Shakery, Hamed Zamani, Mohammad Ali Tavallaei:
PERSON: Personalized information retrieval evaluation based on citation networks. Inf. Process. Manag. 54(4): 630-656 (2018) - [j4]Hamed Zamani, Azadeh Shakery:
A language model-based framework for multi-publisher content-based recommender systems. Inf. Retr. J. 21(5): 369-409 (2018) - [c31]Hamed Zamani, Mostafa Dehghani, W. Bruce Croft, Erik G. Learned-Miller, Jaap Kamps:
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. CIKM 2018: 497-506 - [c30]Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
In Situ and Context-Aware Target Apps Selection for Unified Mobile Search. CIKM 2018: 1383-1392 - [c29]Hamed Zamani, W. Bruce Croft:
Joint Modeling and Optimization of Search and Recommendation. DESIRES 2018: 36-41 - [c28]Mahsa S. Shahshahani, Faegheh Hasibi, Hamed Zamani, Azadeh Shakery:
Towards a Unified Supervised Approach for Ranking Triples of Type-Like Relations. ECIR 2018: 707-714 - [c27]Hamed Zamani, W. Bruce Croft:
On the Theory of Weak Supervision for Information Retrieval. ICTIR 2018: 147-154 - [c26]Ching-Wei Chen, Paul Lamere, Markus Schedl, Hamed Zamani:
Recsys challenge 2018: automatic music playlist continuation. RecSys 2018: 527-528 - [c25]Hamed Zamani, W. Bruce Croft, J. Shane Culpepper:
Neural Query Performance Prediction using Weak Supervision from Multiple Signals. SIGIR 2018: 105-114 - [c24]Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices. SIGIR 2018: 215-224 - [c23]Daniel Cohen, John Foley, Hamed Zamani, James Allan, W. Bruce Croft:
Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. SIGIR 2018: 1017-1020 - [c22]Hamed R. Bonab, Hamed Zamani, Erik G. Learned-Miller, James Allan:
Citation Worthiness of Sentences in Scientific Reports. SIGIR 2018: 1061-1064 - [c21]Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Theoretical Analysis of Interdependent Constraints in Pseudo-Relevance Feedback. SIGIR 2018: 1249-1252 - [c20]Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell:
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. SIGIR 2018: 1439-1440 - [c19]Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. WSDM 2018: 700-708 - [i10]Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices. CoRR abs/1805.02211 (2018) - [i9]Hamed Zamani, W. Bruce Croft:
Towards Theoretical Understanding of Weak Supervision for Information Retrieval. CoRR abs/1806.04815 (2018) - [i8]Hamed Zamani, W. Bruce Croft:
Joint Modeling and Optimization of Search and Recommendation. CoRR abs/1807.05631 (2018) - [i7]Hamed Zamani, Markus Schedl, Paul Lamere, Ching-Wei Chen:
An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation. CoRR abs/1810.01520 (2018) - 2017
- [j3]Javid Dadashkarimi, Azadeh Shakery, Heshaam Faili, Hamed Zamani:
An expectation-maximization algorithm for query translation based on pseudo-relevant documents. Inf. Process. Manag. 53(2): 371-387 (2017) - [j2]Mohammad Aliannejadi, Maram Hasanain, Jiaxin Mao, Jaspreet Singh, Johanne R. Trippas, Hamed Zamani, Laura Dietz:
ACM SIGIR Student Liaison Program. SIGIR Forum 51(3): 42-45 (2017) - [c18]Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Iterative Estimation of Document Relevance Score for Pseudo-Relevance Feedback. ECIR 2017: 676-683 - [c17]Hossein Rahmatizadeh Zagheli, Hamed Zamani, Azadeh Shakery:
A Semantic-Aware Profile Updating Model for Text Recommendation. RecSys 2017: 316-320 - [c16]Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. SIGIR 2017: 65-74 - [c15]Hamed Zamani, W. Bruce Croft:
Relevance-based Word Embedding. SIGIR 2017: 505-514 - [c14]Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Term Proximity Constraints for Pseudo-Relevance Feedback. SIGIR 2017: 1085-1088 - [c13]Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Hamed Zamani:
Word Embedding Causes Topic Shifting; Exploit Global Context! SIGIR 2017: 1105-1108 - [c12]Mozhdeh Ariannezhad, Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic. SIGIR 2017: 1201-1204 - [c11]Qingyao Ai, Hamed Zamani, Stephen M. Harding, Shahrzad Naseri, James Allan, W. Bruce Croft:
UMass at TREC 2017 Common Core Track. TREC 2017 - [c10]Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang:
Situational Context for Ranking in Personal Search. WWW 2017: 1531-1540 - [i6]Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, W. Bruce Croft:
Neural Ranking Models with Weak Supervision. CoRR abs/1704.08803 (2017) - [i5]Hamed Zamani, W. Bruce Croft:
Relevance-based Word Embedding. CoRR abs/1705.03556 (2017) - [i4]Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, W. Bruce Croft:
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation. CoRR abs/1707.05409 (2017) - [i3]Markus Schedl, Hamed Zamani, Ching-Wei Chen, Yashar Deldjoo, Mehdi Elahi:
Current Challenges and Visions in Music Recommender Systems Research. CoRR abs/1710.03208 (2017) - [i2]Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. CoRR abs/1711.09174 (2017) - 2016
- [j1]Hamed Zamani, Heshaam Faili, Azadeh Shakery:
Sentence alignment using local and global information. Comput. Speech Lang. 39: 88-107 (2016) - [c9]Hamed Zamani, Javid Dadashkarimi, Azadeh Shakery, W. Bruce Croft:
Pseudo-Relevance Feedback Based on Matrix Factorization. CIKM 2016: 1483-1492 - [c8]Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Cross Domain User Engagement Evaluation. ECIR 2016: 754-760 - [c7]Hamed Zamani, W. Bruce Croft:
Estimating Embedding Vectors for Queries. ICTIR 2016: 123-132 - [c6]Hamed Zamani, W. Bruce Croft:
Embedding-based Query Language Models. ICTIR 2016: 147-156 - [c5]Ali Montazeralghaem, Hamed Zamani, Azadeh Shakery:
Axiomatic Analysis for Improving the Log-Logistic Feedback Model. SIGIR 2016: 765-768 - 2015
- [c4]José G. C. de Souza, Hamed Zamani, Matteo Negri, Marco Turchi, Daniele Falavigna:
Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances. HLT-NAACL 2015: 714-724 - [c3]Hamed Zamani, Pooya Moradi, Azadeh Shakery:
Adaptive User Engagement Evaluation via Multi-task Learning. SIGIR 2015: 1011-1014 - [i1]Hamed Zamani, Azadeh Shakery, Pooya Moradi:
Regression and Learning to Rank Aggregation for User Engagement Evaluation. CoRR abs/1501.07467 (2015) - 2014
- [c2]Hamed Zamani, Hossein Nasr Esfahani, Pariya Babaie, Samira Abnar, Mostafa Dehghani, Azadeh Shakery:
Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set. CLEF 2014: 128-140 - [c1]Samira Abnar, Mostafa Dehghani, Hamed Zamani, Azadeh Shakery:
Expanded N-Grams for Semantic Text Alignment Notebook for PAN at CLEF 2014. CLEF (Working Notes) 2014: 928-938
Coauthor Index
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