Alignment of metabolic pathways. - Ron Y. Pinter; Oleg Rokhlenko; Esti Yeger Lotem; Michal Ziv-Ukelson (Bioinform., 2005)

Flux-Based vs. Topology-Based Similarity of Metabolic Genes. - Oleg Rokhlenko; Tomer Shlomi; Roded Sharan; Eytan Ruppin; Ron Y. Pinter (WABI, 2006)

Seeded Tree Alignment and Planar Tanglegram Layout. - Antoni Lozano; Ron Y. Pinter; Oleg Rokhlenko; Gabriel Valiente; Michal Ziv-Ukelson (WABI, 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)

Similarities and differences of gene expression in yeast stress conditions. - Oleg Rokhlenko; Ydo Wexler; Zohar Yakhini (Bioinform., 2007)

Algorithms for labeled graph matching with applications to systems biology. - Oleg Rokhlenko (2007)

Approximate labelled subtree homeomorphism. - Ron Y. Pinter; Oleg Rokhlenko; Dekel Tsur; Michal Ziv-Ukelson (J. Discrete Algorithms, 2008)

Seeded Tree Alignment. - Antoni Lozano; Ron Y. Pinter; Oleg Rokhlenko; Gabriel Valiente; Michal Ziv-Ukelson (IEEE ACM Trans. Comput. Biol. Bioinform., 2008)

Resurrecting infeasible clock-gating functions. - Eli Arbel; Cindy Eisner; Oleg Rokhlenko (DAC, 2009)

SAT-based synthesis of clock gating functions using 3-valued abstraction. - Eli Arbel; Oleg Rokhlenko; Karen Yorav (FMCAD, 2009)

Embedded self-adaptation to escape from local optima. - Oleg Rokhlenko; Ydo Wexler (GEC Summit, 2009)

Churn prediction in new users of Yahoo! answers. - Gideon Dror; Dan Pelleg; Oleg Rokhlenko; Idan Szpektor (WWW (Companion Volume), 2012)

Generating Synthetic Comparable Questions for News Articles. - Oleg Rokhlenko; Idan Szpektor (ACL (1), 2013)

Engagement-based user attention distribution on web article pages. - Oleg Rokhlenko; Nadav Golbandi; Ronny Lempel; Limor Leibovich (HT, 2013)

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 (WWW, 2015)

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 (CSCW, 2016)

Novelty based Ranking of Human Answers for Community Questions. - Adi Omari; David Carmel; Oleg Rokhlenko; Idan Szpektor (SIGIR, 2016)

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient. - Li Zhou 006; Kevin Small; Oleg Rokhlenko; Charles Elkan (CoRR, 2017)

Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper. - Nut Limsopatham; Oleg Rokhlenko; David Carmel (SCAI@EMNLP, 2018)

Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. - Anjie Fang; Simone Filice; Nut Limsopatham; Oleg Rokhlenko (SIGIR, 2020)

Continual Learning for Named Entity Recognition. - Natawut Monaikul; Giuseppe Castellucci; Simone Filice; Oleg Rokhlenko (AAAI, 2021)

VoiSeR: A New Benchmark for Voice-Based Search Refinement. - Simone Filice; Giuseppe Castellucci; Marcus D. Collins; Eugene Agichtein; Oleg Rokhlenko (EACL, 2021)

Studying the Effectiveness of Conversational Search Refinement Through User Simulation. - Alexandre Salle; Shervin Malmasi; Oleg Rokhlenko; Eugene Agichtein (ECIR (1), 2021)

GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input. - Tao Meng; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (NAACL-HLT, 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 (NAACL-HLT, 2021)

Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. - Besnik Fetahu; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (SIGIR, 2021)

Generating and Validating Contextually Relevant Justifications for Conversational Recommendation. - Sergey Volokhin; Marcus D. Collins; Oleg Rokhlenko; Eugene Agichtein (CHIIR, 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 (COLING, 2022)

MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition. - Shervin Malmasi; Anjie Fang; Besnik Fetahu; Sudipta Kar; Oleg Rokhlenko (COLING, 2022)

What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison. - Nikhita Vedula; Marcus D. Collins; Eugene Agichtein; Oleg Rokhlenko (ECIR (2), 2022)

Reinforced Question Rewriting for Conversational Question Answering. - Zhiyu Chen 001; Jie Zhao; Anjie Fang; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2022)

Fact Checking Machine Generated Text with Dependency Trees. - Alex Estes; Nikhita Vedula; Marcus D. Collins; Matt Cecil; Oleg Rokhlenko (EMNLP (Industry Track), 2022)

Distilling Multilingual Transformers into CNNs for Scalable Intent Classification. - Besnik Fetahu; Akash Veeragouni; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2022)

CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. - Andrea Iovine; Anjie Fang; Besnik Fetahu; Jie Zhao; Oleg Rokhlenko; Shervin Malmasi (EMNLP, 2022)

Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. - Sudipta Kar; Giuseppe Castellucci; Simone Filice; Shervin Malmasi; Oleg Rokhlenko (KDD, 2022)

Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. - Besnik Fetahu; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (NAACL-HLT, 2022)

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). - Shervin Malmasi; Anjie Fang; Besnik Fetahu; Sudipta Kar; Oleg Rokhlenko (SemEval@NAACL, 2022)

CycleNER: An Unsupervised Training Approach for Named Entity Recognition. - Andrea Iovine; Anjie Fang; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (WWW, 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; et al. (CoRR, 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)

Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. - Zhiyu Chen 001; Jason Ingyu Choi; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (industry), 2023)

Answering Unanswered Questions through Semantic Reformulations in Spoken QA. - Pedro Faustini; Zhiyu Chen 001; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (industry), 2023)

Faithful Low-Resource Data-to-Text Generation through Cycle Training. - Zhuoer Wang; Marcus D. Collins; Nikhita Vedula; Simone Filice; Shervin Malmasi; Oleg Rokhlenko (ACL (1), 2023)

External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems. - Tuan Manh Lai; Giuseppe Castellucci; Saar Kuzi; Heng Ji; Oleg Rokhlenko (EACL, 2023)

Augmenting Graph Convolutional Networks with Textual Data for Recommendations. - Sergey Volokhin; Marcus D. Collins; Oleg Rokhlenko; Eugene Agichtein (ECIR (2), 2023)

MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. - Besnik Fetahu; Zhiyu Chen 001; Sudipta Kar; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Findings), 2023)

InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. - Besnik Fetahu; Zhiyu Chen 001; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Industry Track), 2023)

Follow-on Question Suggestion via Voice Hints for Voice Assistants. - Besnik Fetahu; Pedro Faustini; Anjie Fang; Giuseppe Castellucci; Oleg Rokhlenko; Shervin Malmasi (EMNLP (Findings), 2023)

Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. - Pedro Faustini; Besnik Fetahu; Giuseppe Castellucci; Anjie Fang; Oleg Rokhlenko; Shervin Malmasi (INTERSPEECH, 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 (KDD, 2023)

SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). - Besnik Fetahu; Sudipta Kar; Zhiyu Chen 001; Oleg Rokhlenko; Shervin Malmasi (SemEval@ACL, 2023)

Disentangling User Conversations with Voice Assistants for Online Shopping. - Nikhita Vedula; Marcus D. Collins; Oleg Rokhlenko (SIGIR, 2023)

Generating Explainable Product Comparisons for Online Shopping. - Nikhita Vedula; Marcus D. Collins; Eugene Agichtein; Oleg Rokhlenko (WSDM, 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)

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. - Parth Patwa; Simone Filice; Zhiyu Chen 001; Giuseppe Castellucci; Oleg Rokhlenko; Shervin Malmasi (LREC/COLING, 2024)

Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation. - Besnik Fetahu; Tejas Mehta; Qun Song 008; Nikhita Vedula; Oleg Rokhlenko; Shervin Malmasi (ECIR (4), 2024)

Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. - Lingbo Mo; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ECIR (2), 2024)

Identifying Shopping Intent in Product QA for Proactive Recommendations. - Besnik Fetahu; Nachshon Cohen; Elad Haramaty; Liane Lewin-Eytan; Oleg Rokhlenko; Shervin Malmasi (IRonGraphs, 2024)

Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. - Nikhita Vedula; Giuseppe Castellucci; Eugene Agichtein; Oleg Rokhlenko; Shervin Malmasi (NAACL (Industry Track), 2024)

Question Suggestion for Conversational Shopping Assistants Using Product Metadata. - Nikhita Vedula; Oleg Rokhlenko; Shervin Malmasi (SIGIR, 2024)

Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branching. - Xiangci Li; Zhiyu Chen 001; Jason Ingyu Choi; Nikhita Vedula; Besnik Fetahu; Oleg Rokhlenko; Shervin Malmasi (ACL (1), 2025)

Align to Structure: Aligning Large Language Models with Structural Information. - Zae Myung Kim; Anand Ramachandran; Farideh Tavazoee; Joo-Kyung Kim; Oleg Rokhlenko; Dongyeop Kang (CoRR, 2025)