Nikesh Garera

53 papers A* 2A 2B 5C 2Misc 1Journal 18Unranked 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
"This Suits You the Best": Query Focused Comparative Explainable Summarization.
CoRR
Arnav Attri, Anuj Attri, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Nikesh Garera
2025 — conf
LLMs as Architects and Critics for Multi-Source Opinion Summarization.
IJCNLP-AACL (Findings)
Anuj Attri, Arnav Attri, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya
2025 J jnl
LLMs as Architects and Critics for Multi-Source Opinion Summarization.
CoRR
Anuj Attri, Arnav Attri, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Nikesh Garera
2025 — conf
Why We Feel What We Feel: Joint Detection of Emotions and Their Opinion Triggers in E-commerce.
EMNLP (Findings)
Arnav Attri, Anuj Attri, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya
2025 J jnl
Why We Feel What We Feel: Joint Detection of Emotions and Their Opinion Triggers in E-commerce.
CoRR
Arnav Attri, Anuj Attri, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Nikesh Garera
2024 J jnl
A Teacher Is Worth A Million Instructions.
CoRR
Nikhil Kothari, Ravindra Nayak, Shreyas Shetty, Amey Patil, Nikesh Garera
2024 J jnl
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM.
CoRR
Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Tejpalsingh Siledar, Swaroop Nath, Pushpak Bhattacharyya, Swaprava Nath, Suman Banerjee, Amey Patil, Muthusamy Chelliah, Sudhanshu Shekhar Singh, Nikesh Garera
2024 J jnl
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization.
CoRR
Swaroop Nath, Tejpalsingh Siledar, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Harshad Khadilkar, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera
2024 — conf
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation.
ACL (1)
Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera
2024 J jnl
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation.
CoRR
Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera
2024 — conf
Product Description and QA Assisted Self-Supervised Opinion Summarization.
NAACL-HLT (Findings)
Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Swaprava Nath, Pushpak Bhattacharyya
2024 J jnl
Product Description and QA Assisted Self-Supervised Opinion Summarization.
CoRR
Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera, Swaprava Nath, Pushpak Bhattacharyya
2023 — conf
Building Accurate Low Latency ASR for Streaming Voice Search in E-commerce.
ACL (industry)
Abhinav Goyal, Nikesh Garera
2023 J jnl
Building Accurate Low Latency ASR for Streaming Voice Search.
CoRR
Abhinav Goyal, Nikesh Garera
2023 J jnl
Code-Mixed Text to Speech Synthesis under Low-Resource Constraints.
CoRR
Raviraj Joshi, Nikesh Garera
2023 — conf
Code-Mixed Text-to-Speech Synthesis Under Low-Resource Constraints.
SPECOM (2)
Raviraj Joshi, Nikesh Garera
2023 — conf
Domain-specific transformer models for query translation.
ACL (industry)
Mandar Kulkarni, Nikesh Garera, Anusua Trivedi
2023 — conf
Label efficient semi-supervised conversational intent classification.
ACL (industry)
Mandar Kulkarni, Kyung Kim, Nikesh Garera, Anusua Trivedi
2023 C conf
Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning.
PACLIC
Raviraj Joshi, Nikesh Garera
2023 J jnl
Rapid Speaker Adaptation in Low Resource Text to Speech Systems using Synthetic Data and Transfer learning.
CoRR
Raviraj Joshi, Nikesh Garera
2023 — conf
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards.
EMNLP (Findings)
Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah
2023 J jnl
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards.
CoRR
Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah
2023 — conf
Synthesize, if you do not have: Effective Synthetic Dataset Creation Strategies for Self-Supervised Opinion Summarization in E-commerce.
EMNLP (Findings)
Tejpalsingh Siledar, Suman Banerjee, Amey Patil, Sudhanshu Singh, Muthusamy Chelliah, Nikesh Garera, Pushpak Bhattacharyya
2022 — conf
Deploying Unified BERT Moderation Model for E-Commerce Reviews.
EMNLP (Industry Track)
Ravindra Nayak, Nikesh Garera
2022 — conf
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English.
EMNLP (Industry Track)
Abhinav Goyal, Anupam Singh, Nikesh Garera
2022 J jnl
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English.
CoRR
Abhinav Goyal, Anupam Singh, Nikesh Garera
2022 — conf
Investigating Effectiveness of Multi-Encoder for Conversational Neural Machine Translation.
WMT
Baban Gain, Ramakrishna Appicharla, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal, Muthusamy Chelliah
2022 — conf
Large-scale Machine Translation for Indian Languages in E-commerce under Low Resource Constraints.
EMNLP (Industry Track)
Amey Patil, Nikesh Garera
2022 Misc conf
Low Resource Chat Translation: A Benchmark for Hindi-English Language Pair.
AMTA
Baban Gain, Ramakrishna Appicharla, Asif Ekbal, Muthusamy Chelliah, Soumya Chennabasavraj, Nikesh Garera
2022 C conf
Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation.
EAMT
Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
2022 — conf
ReviewMT: Sentiment Preserved E-Commerce Review Translation System.
COMAD/CODS
Kamal Kumar Gupta, Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
2022 J jnl
Study of Encoder-Decoder Architectures for Code-Mix Search Query Translation.
CoRR
Mandar Kulkarni, Soumya Chennabasavaraj, Nikesh Garera
2022 J jnl
Vernacular Search Query Translation with Unsupervised Domain Adaptation.
CoRR
Mandar Kulkarni, Nikesh Garera
2021 J jnl
Answer Generation for Questions With Multiple Information Sources in E-Commerce.
CoRR
Anand A. Rajasekar, Nikesh Garera
2021 — conf
Product Review Translation using Phrase Replacement and Attention Guided Noise Augmentation.
MTSummit (1)
Kamal Kumar Gupta, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
2021 — conf
Sentiment Preservation in Review Translation using Curriculum-based Re-inforcement Framework.
MTSummit (1)
Divya Kumari, Soumya Chennabasavaraj, Nikesh Garera, Asif Ekbal
2013 J jnl
Entity Extraction, Linking, Classification, and Tagging for Social Media: A Wikipedia-Based Approach.
Proc. VLDB Endow.
Rohit Kumar, Digvijay S. Lamba, Nikesh Garera, Mitul Tiwari, Xiaoyong Chai, Sanjib Das, Sri Subramaniam, Anand Rajaraman, Venky Harinarayan, AnHai Doan
2013 J jnl
Social Media Analytics: The Kosmix Story.
IEEE Data Eng. Bull.
Xiaoyong Chai, Omkar Deshpande, Nikesh Garera, Rohit Kumar, Wang Lam, Digvijay S. Lamba, Lu Liu, Mitul Tiwari, Michel Tourn, Zoheb Vacheri, STS Prasad, Sri Subramaniam, Venky Harinarayan, Anand Rajaraman, Adel Ardalan, Sanjib Das, Paul Suganthan G. C., AnHai Doan
2009 — conf
Arabic Cross-Document Coreference Resolution.
ACL/IJCNLP (2)
Asad B. Sayeed, Tamer Elsayed, Nikesh Garera, David Alexander, Tan Xu, Douglas W. Oard, David Yarowsky, Christine D. Piatko
2009 — conf
Cross-Document Coreference Resolution: A Key Technology for Learning by Reading.
AAAI Spring Symposium: Learning by Reading and Learning to Read
James Mayfield, David Alexander, Bonnie J. Dorr, Jason Eisner, Tamer Elsayed, Tim Finin, Clayton Fink, Marjorie Freedman, Nikesh Garera, Paul McNamee, Saif M. Mohammad, Douglas W. Oard, Christine D. Piatko, Asad B. Sayeed, Zareen Syed, Ralph M. Weischedel, Tan Xu, David Yarowsky
2009 — conf
HLTCOE Approaches to Knowledge Base Population at TAC 2009.
TAC
Paul McNamee, Mark Dredze, Adam Gerber, Nikesh Garera, Tim Finin, James Mayfield, Christine D. Piatko, Delip Rao, David Yarowsky, Markus Dreyer
2009 B conf
Improving Translation Lexicon Induction from Monolingual Corpora via Dependency Contexts and Part-of-Speech Equivalences.
CoNLL
Nikesh Garera, Chris Callison-Burch, David Yarowsky
2009 — conf
Modeling Latent Biographic Attributes in Conversational Genres.
ACL/IJCNLP
Nikesh Garera, David Yarowsky
2009 A conf
Structural, Transitive and Latent Models for Biographic Fact Extraction.
EACL
Nikesh Garera, David Yarowsky
2008 B conf
Minimally Supervised Multilingual Taxonomy and Translation Lexicon Induction.
IJCNLP
Nikesh Garera, David Yarowsky
2008 B conf
Translating Compounds by Learning Component Gloss Translation Models via Multiple Languages.
IJCNLP
Nikesh Garera, David Yarowsky
2007 — conf
JHU1 : An Unsupervised Approach to Person Name Disambiguation using Web Snippets.
SemEval@ACL
Delip Rao, Nikesh Garera, David Yarowsky
2007 A* conf
Learning from the Report-writing Behavior of Individuals.
IJCAI
Mohit Kumar, Nikesh Garera, Alexander I. Rudnicky
2007 A conf
The role of documents vs. queries in extracting class attributes from text.
CIKM
Marius Pasca, Benjamin Van Durme, Nikesh Garera
2006 B conf
A Briefing Tool that Learns Individual Report-Writing Behavior.
ICTAI
Mohit Kumar, Nikesh Garera, Alexander I. Rudnicky
2006 A* conf
Learning algorithms for online principal-agent problems (and selling goods online).
ICML
Vincent Conitzer, Nikesh Garera
2006 B conf
Resolving and Generating Definite Anaphora by Modeling Hypernymy using Unlabeled Corpora.
CoNLL
Nikesh Garera, David Yarowsky
2005 — conf
Briefing Assistant: Learning Human Summarization Behavior over Time.
AAAI Spring Symposium: Persistent Assistants: Living and Working with AI
Nikesh Garera, Alexander I. Rudnicky