Oleg Rokhlenko

According to our database, Oleg Rokhlenko authored at least 60 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Question Suggestion for Conversational Shopping Assistants Using Product Metadata.

Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces.

Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Identifying Shopping Intent in Product QA for Proactive Recommendations.

Besnik Fetahu, Nachshon Cohen, Elad Haramaty, Liane Lewin-Eytan, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the Advances on Graph-Based Approaches in Information Retrieval, 2024

Controllable Decontextualization of Yes/No Question and Answers into Factual Statements.

Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the Advances in Information Retrieval, 2024

Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation.

Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the Advances in Information Retrieval, 2024

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data.

Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi

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

2023

Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks.

Simone Filice, Jason Ingyu Choi, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko

CoRR, 2023

Generating Explainable Product Comparisons for Online Shopping.

Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko

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

Disentangling User Conversations with Voice Assistants for Online Shopping.

Nikhita Vedula, Marcus D. Collins, Oleg Rokhlenko

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

SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2).

Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

The 6th Workshop on e-eommerce and NLP (ECNLP 6).

Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi

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

Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants.

Pedro Faustini, Besnik Fetahu, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Follow-on Question Suggestion via Voice Hints for Voice Assistants.

Besnik Fetahu, Pedro Faustini, Anjie Fang, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi

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

InstructPTS: Instruction-Tuning LLMs for Product Title Summarization.

Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi

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

MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition.

Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi

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

Augmenting Graph Convolutional Networks with Textual Data for Recommendations.

Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein

Proceedings of the Advances in Information Retrieval, 2023

External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems.

Tuan Manh Lai, Giuseppe Castellucci, Saar Kuzi, Heng Ji, Oleg Rokhlenko

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Faithful Low-Resource Data-to-Text Generation through Cycle Training.

Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko

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

Answering Unanswered Questions through Semantic Reformulations in Spoken QA.

Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search.

Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation.

Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein

Inf. Retr. J., 2022

Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance.

Anna Gottardi, Osman Ipek, Giuseppe Castellucci, Shui Hu, Lavina Vaz, Yao Lu, Anju Khatri, Anjali Chadha, Desheng Zhang, Sattvik Sahai, Prerna Dwivedi, Hangjie Shi, Lucy Hu, Andy Huang, Luke Dai, Bofei Yang, Varun Somani, Pankaj Rajan, Ron Rezac, Michael Johnston, Savanna Stiff, Leslie Ball, David Carmel, Yang Liu, Dilek Hakkani-Tur, Oleg Rokhlenko, Kate Bland, Eugene Agichtein, Reza Ghanadan, Yoelle Maarek

CoRR, 2022

CycleNER: An Unsupervised Training Approach for Named Entity Recognition.

Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

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

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER).

Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition.

Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

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

Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks.

Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko

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

CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting.

Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi

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

Distilling Multilingual Transformers into CNNs for Scalable Intent Classification.

Besnik Fetahu, Akash Veeragouni, Oleg Rokhlenko, Shervin Malmasi

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

Fact Checking Machine Generated Text with Dependency Trees.

Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko

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

Reinforced Question Rewriting for Conversational Question Answering.

Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

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

What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison.

Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko

Proceedings of the Advances in Information Retrieval, 2022

MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition.

Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko

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

Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings.

Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus D. Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein

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

Generating and Validating Contextually Relevant Justifications for Conversational Recommendation.

Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021

Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries.

Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

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

You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions.

Sergey Volokhin, Joyce C. Ho, Oleg Rokhlenko, Eugene Agichtein

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

GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input.

Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

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

Studying the Effectiveness of Conversational Search Refinement Through User Simulation.

Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein

Proceedings of the Advances in Information Retrieval, 2021

VoiSeR: A New Benchmark for Voice-Based Search Refinement.

Simone Filice, Giuseppe Castellucci, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Continual Learning for Named Entity Recognition.

Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko

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

2020

Using Phoneme Representations to Build Predictive Models Robust to ASR Errors.

Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko

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

2018

Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper.

Nut Limsopatham, Oleg Rokhlenko, David Carmel

Proceedings of the 2nd International Workshop on Search-Oriented Conversational AI, 2018

2017

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient.

Li Zhou, Kevin Small, Oleg Rokhlenko, Charles Elkan

CoRR, 2017

2016

Novelty based Ranking of Human Answers for Community Questions.

Adi Omari, David Carmel, Oleg Rokhlenko, Idan Szpektor

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

When the Crowd is Not Enough: Improving User Experience with Social Media through Automatic Quality Analysis.

Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Eugene Agichtein, Ido Guy

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

2015

Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design.

Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Shay Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh

Proceedings of the 24th International Conference on World Wide Web, 2015

2013

Engagement-based user attention distribution on web article pages.

Oleg Rokhlenko, Nadav Golbandi, Ronny Lempel, Limor Leibovich

Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

Generating Synthetic Comparable Questions for News Articles.

Oleg Rokhlenko, Idan Szpektor

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Churn prediction in new users of Yahoo! answers.

Gideon Dror, Dan Pelleg, Oleg Rokhlenko, Idan Szpektor

Proceedings of the 21st World Wide Web Conference, 2012

2009

Embedded self-adaptation to escape from local optima.

Oleg Rokhlenko, Ydo Wexler

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

SAT-based synthesis of clock gating functions using 3-valued abstraction.

Eli Arbel, Oleg Rokhlenko, Karen Yorav

Proceedings of 9th International Conference on Formal Methods in Computer-Aided Design, 2009

Resurrecting infeasible clock-gating functions.

Eli Arbel, Cindy Eisner, Oleg Rokhlenko

Proceedings of the 46th Design Automation Conference, 2009

2008

Seeded Tree Alignment.

Antoni Lozano, Ron Y. Pinter, Oleg Rokhlenko, Gabriel Valiente, Michal Ziv-Ukelson

IEEE ACM Trans. Comput. Biol. Bioinform., 2008

Approximate labelled subtree homeomorphism.

Ron Y. Pinter, Oleg Rokhlenko, Dekel Tsur, Michal Ziv-Ukelson

J. Discrete Algorithms, 2008

2007

Algorithms for labeled graph matching with applications to systems biology.

Oleg Rokhlenko

PhD thesis, 2007

Similarities and differences of gene expression in yeast stress conditions.

Oleg Rokhlenko, Ydo Wexler, Zohar Yakhini

Bioinform., 2007

Constraint-based functional similarity of metabolic genes: going beyond network topology.

Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter

Bioinform., 2007

Seeded Tree Alignment and Planar Tanglegram Layout.

Antoni Lozano, Ron Y. Pinter, Oleg Rokhlenko, Gabriel Valiente, Michal Ziv-Ukelson

Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007

2006

Flux-Based <i>vs.</i> Topology-Based Similarity of Metabolic Genes.

Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter

Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006

2005

Alignment of metabolic pathways.

Ron Y. Pinter, Oleg Rokhlenko, Esti Yeger Lotem, Michal Ziv-Ukelson

Bioinform., 2005