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Oleg Rokhlenko
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2020 – today
- 2024
- [c50]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. LREC/COLING 2024: 6017-6023 - [c49]Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi:
Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation. ECIR (4) 2024: 59-67 - [c48]Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. ECIR (2) 2024: 415-432 - [c47]Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi:
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. NAACL (Industry Track) 2024: 437-446 - [c46]Nikhita Vedula
, Oleg Rokhlenko
Question Suggestion for Conversational Shopping Assistants Using Product Metadata. SIGIR 2024: 2960-2964 - [i20]Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. CoRR abs/2401.09775 (2024) - [i19]Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi:
Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation. CoRR abs/2401.09785 (2024) - [i18]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. CoRR abs/2404.02422 (2024) - [i17]Besnik Fetahu, Nachshon Cohen, Elad Haramaty, Liane Lewin-Eytan, Oleg Rokhlenko, Shervin Malmasi:
Identifying Shopping Intent in Product QA for Proactive Recommendations. CoRR abs/2404.06017 (2024) - [i16]Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi:
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. CoRR abs/2404.06659 (2024) - [i15]Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi:
Question Suggestion for Conversational Shopping Assistants Using Product Metadata. CoRR abs/2405.01738 (2024) - 2023
- [c45]Pedro Faustini
Answering Unanswered Questions through Semantic Reformulations in Spoken QA. ACL (industry) 2023: 729-743 - [c44]Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. ACL (industry) 2023: 763-771 - [c43]Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Faithful Low-Resource Data-to-Text Generation through Cycle Training. ACL (1) 2023: 2847-2867 - [c42]Tuan Manh Lai, Giuseppe Castellucci, Saar Kuzi, Heng Ji, Oleg Rokhlenko:
External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems. EACL 2023: 3615-3629 - [c41]Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein:
Augmenting Graph Convolutional Networks with Textual Data for Recommendations. ECIR (2) 2023: 664-675 - [c40]Besnik Fetahu, Pedro Faustini
Follow-on Question Suggestion via Voice Hints for Voice Assistants. EMNLP (Findings) 2023: 310-325 - [c39]Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. EMNLP (Industry Track) 2023: 663-674 - [c38]Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi:
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. EMNLP (Findings) 2023: 2027-2051 - [c37]Pedro Faustini
Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. INTERSPEECH 2023: 3427-3431 - [c36]Shervin Malmasi
The 6th Workshop on e-eommerce and NLP (ECNLP 6). KDD 2023: 5872-5873 - [c35]Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). SemEval@ACL 2023: 2247-2265 - [c34]Nikhita Vedula
Disentangling User Conversations with Voice Assistants for Online Shopping. SIGIR 2023: 1939-1943 - [c33]Nikhita Vedula
Generating Explainable Product Comparisons for Online Shopping. WSDM 2023: 949-957 - [i14]Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. CoRR abs/2302.11074 (2023) - [i13]Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). CoRR abs/2305.06586 (2023) - [i12]Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Faithful Low-Resource Data-to-Text Generation through Cycle Training. CoRR abs/2305.14793 (2023) - [i11]Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Answering Unanswered Questions through Semantic Reformulations in Spoken QA. CoRR abs/2305.17393 (2023) - [i10]Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. CoRR abs/2306.03411 (2023) - [i9]Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi:
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. CoRR abs/2310.13213 (2023) - [i8]Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. CoRR abs/2310.16361 (2023) - [i7]Besnik Fetahu, Pedro Faustini, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Follow-on Question Suggestion via Voice Hints for Voice Assistants. CoRR abs/2310.17034 (2023) - [i6]Simone Filice, Jason Ingyu Choi, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko:
Evaluation Metrics of Language Generation Models for Synthetic Traffic Generation Tasks. CoRR abs/2311.12534 (2023) - 2022
- [j6]Alexandre Salle
CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation. Inf. Retr. J. 25(2): 209-238 (2022) - [c32]Sergey Volokhin, Marcus D. Collins, Oleg Rokhlenko, Eugene Agichtein:
Generating and Validating Contextually Relevant Justifications for Conversational Recommendation. CHIIR 2022: 284-289 - [c31]Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus D. Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein:
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings. COLING 2022: 3514-3529 - [c30]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition. COLING 2022: 3798-3809 - [c29]Nikhita Vedula, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko:
What Matters for Shoppers: Investigating Key Attributes for Online Product Comparison. ECIR (2) 2022: 231-239 - [c28]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. EMNLP (Industry Track) 2022: 357-370 - [c27]Besnik Fetahu, Akash Veeragouni, Oleg Rokhlenko, Shervin Malmasi:
Distilling Multilingual Transformers into CNNs for Scalable Intent Classification. EMNLP (Industry Track) 2022: 429-439 - [c26]Alex Estes, Nikhita Vedula, Marcus D. Collins, Matt Cecil, Oleg Rokhlenko:
Fact Checking Machine Generated Text with Dependency Trees. EMNLP (Industry Track) 2022: 458-466 - [c25]Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi:
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. EMNLP 2022: 11875-11886 - [c24]Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. KDD 2022: 3137-3145 - [c23]Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. NAACL-HLT 2022: 2777-2790 - [c22]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). SemEval@NAACL 2022: 1412-1437 - [c21]Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
CycleNER: An Unsupervised Training Approach for Named Entity Recognition. WWW 2022: 2916-2924 - [i5]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition. CoRR abs/2208.14536 (2022) - [i4]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
Alexa, Let's Work Together: Introducing the First Alexa Prize TaskBot Challenge on Conversational Task Assistance. CoRR abs/2209.06321 (2022) - [i3]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. CoRR abs/2210.15777 (2022) - 2021
- [c20]Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko:
Continual Learning for Named Entity Recognition. AAAI 2021: 13570-13577 - [c19]Simone Filice, Giuseppe Castellucci, Marcus D. Collins, Eugene Agichtein, Oleg Rokhlenko:
VoiSeR: A New Benchmark for Voice-Based Search Refinement. EACL 2021: 2321-2329 - [c18]Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein:
Studying the Effectiveness of Conversational Search Refinement Through User Simulation. ECIR (1) 2021: 587-602 - [c17]Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input. NAACL-HLT 2021: 1499-1512 - [c16]Sergey Volokhin, Joyce C. Ho, Oleg Rokhlenko, Eugene Agichtein:
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational Interactions. NAACL-HLT 2021: 3091-3096 - [c15]Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. SIGIR 2021: 1677-1681 - 2020
- [c14]Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko:
Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. SIGIR 2020: 699-708 - [e1]Oluwaseyi Feyisetan, Sepideh Ghanavati, Oleg Rokhlenko, Patricia Thaine:
Proceedings of the PrivateNLP 2020: Workshop on Privacy in Natural Language Processing - Colocated with WSDM 2020, Houston, USA, Feb 7, 2020. CEUR Workshop Proceedings 2573, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2018
- [c13]Nut Limsopatham, Oleg Rokhlenko, David Carmel:
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper. SCAI@EMNLP 2018: 40-45 - 2017
- [i2]Li Zhou, Kevin Small, Oleg Rokhlenko, Charles Elkan:
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient. CoRR abs/1712.02838 (2017) - 2016
- [c12]Dan Pelleg, Oleg Rokhlenko, Idan Szpektor, Eugene Agichtein, Ido Guy:
When the Crowd is Not Enough: Improving User Experience with Social Media through Automatic Quality Analysis. CSCW 2016: 1078-1088 - [c11]Adi Omari, David Carmel, Oleg Rokhlenko, Idan Szpektor:
Novelty based Ranking of Human Answers for Community Questions. SIGIR 2016: 215-224 - 2015
- [c10]Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Shay Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh:
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design. WWW 2015: 45-54 - 2014
- [i1]Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Shay Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh:
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design. CoRR abs/1406.2431 (2014) - 2013
- [c9]Oleg Rokhlenko, Idan Szpektor:
Generating Synthetic Comparable Questions for News Articles. ACL (1) 2013: 742-751 - [c8]Oleg Rokhlenko, Nadav Golbandi, Ronny Lempel, Limor Leibovich:
Engagement-based user attention distribution on web article pages. HT 2013: 196-201 - 2012
- [c7]Gideon Dror, Dan Pelleg, Oleg Rokhlenko, Idan Szpektor:
Churn prediction in new users of Yahoo! answers. WWW (Companion Volume) 2012: 829-834
2000 – 2009
- 2009
- [c6]Eli Arbel, Cindy Eisner, Oleg Rokhlenko:
Resurrecting infeasible clock-gating functions. DAC 2009: 160-165 - [c5]Eli Arbel, Oleg Rokhlenko, Karen Yorav:
SAT-based synthesis of clock gating functions using 3-valued abstraction. FMCAD 2009: 198-204 - [c4]Oleg Rokhlenko, Ydo Wexler:
Embedded self-adaptation to escape from local optima. GEC Summit 2009: 489-496 - 2008
- [j5]Ron Y. Pinter, Oleg Rokhlenko, Dekel Tsur
Approximate labelled subtree homeomorphism. J. Discrete Algorithms 6(3): 480-496 (2008) - [j4]Antoni Lozano
Seeded Tree Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 5(4): 503-513 (2008) - 2007
- [b1]Oleg Rokhlenko:
Algorithms for labeled graph matching with applications to systems biology. Technion - Israel Institute of Technology, Israel, 2007 - [j3]Oleg Rokhlenko, Ydo Wexler, Zohar Yakhini
Similarities and differences of gene expression in yeast stress conditions. Bioinform. 23(2): 184-190 (2007) - [j2]Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter:
Constraint-based functional similarity of metabolic genes: going beyond network topology. Bioinform. 23(16): 2139-2146 (2007) - [c3]Antoni Lozano
Seeded Tree Alignment and Planar Tanglegram Layout. WABI 2007: 98-110 - 2006
- [c2]Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter:
Flux-Based vs. Topology-Based Similarity of Metabolic Genes. WABI 2006: 274-285 - 2005
- [j1]Ron Y. Pinter, Oleg Rokhlenko, Esti Yeger Lotem
Alignment of metabolic pathways. Bioinform. 21(16): 3401-3408 (2005) - 2004
- [c1]Ron Y. Pinter, Oleg Rokhlenko, Dekel Tsur, Michal Ziv-Ukelson:
Approximate Labelled Subtree Homeomorphism. CPM 2004: 59-73
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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