Parth Gupta
| Experience | Publications | Code | Contact |
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I work in the area of machine learning and information retrieval. Currently, I am Applied Science Manager with Amazon Search headquartered in Palo Alto. Our team works on cold-start and product discovery challenges in Ranking.
Feel free to reach out if you want to collaborate! |
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Research Interests
Information retrieval, machine learning, text mining, statistical natural language processing, deep-learning, data scienceUpdates
- Oct, 2022: Paper accepted at CIKM 2022 on Bayesian methods to address sold-start in Product Search (details)
- Mar, 2022: Paper accepted at SIGIR 2022 on role of clicks in ranking and unbiased learning to rank
- Jun, 2021: Paper accepted at CIKM 2021 on seasonal relevance in Produc Search
- Jan, 2020: Poster paper accepted at WWW 2020 on cold-start in Search
- July, 2019: Attended SIGIR 2019 in Paris
- July 2019: Organised 2nd Edition of Search Workshop at Amazon ML Conference 2019 in Seattle
- May, 2019: Attended WWW 2019 in San Francisco
- November, 2018: Have moved to Amazon Search Science and AI team (A9) in Palo Alto.
- June, 2018: Invited to co-chair Demo track at CODS-COMAD 2019.
- March, 2018: Gave an invited talk at IIT Kharagpur on Machine Learning at Amazon
- March, 2018: Gave a couple of Guest Lectures in Machine Learning course at IIT Kharagpur (details)
- Feb, 2018: Short paper accepted at WWW 2018
- Jan, 2018: Attended CODS-COMAD Conference in Goa
- Nov, 2017: Gave a talk on Deep Learning at GHCI 2017. (Details)
- Sept, 2017: Gave a tutorial on distributed training using MXNet at Amazon India AI Summit in Bangalore.
- March, 2017: Joined Core ML team at Amazon as ML Scientist to take on cutting-edge ML research
- Jan, 2017: Successfully defended PhD thesis
- Dec, 2016: Paper accepted at ECIR 2017 titled "Learning to classify inappropriate query-completions"
- Dec, 2016: Paper accepted at Information Processing & Management titled "Continuous space models for CLIR"
- Dec 07, 2016: Tutorial on "Deep Learning for Information Retrieval" at FIRE 2016, Kolkata, India
- Nov 03, 2016: Visited Search team of Wikimedia Foundation, San Francisco, USA
- Nov 02, 2016: Talk at Bay Area NLP Meetup @ Galvanize, San Francisco, USA
- Oct 28-30, 2016: Participating in GSoC Mentor Summit at Google (Mountain View), USA
- Set 22, 2016: PhD thesis submitted
- June, 2016: Patent based on work at Microsoft Bing (London) has been filed at USPTO
Experience
- Applied Science Manager at Amazon.com, Palo Alto (Jul 2020 - present)
- Amazon Search (A9) Team
- Applied Scientist at Amazon.com, Palo Alto (Nov 2018 - Jun 2020)
- Amazon Search (A9) Team
- Applied Scientist at Amazon.com, Bangalore (Mar 2017 - Oct 2018)
- Core ML Team
- Faculty Associate at IIIT, Vadodara (Dec 2015 - Feb 2017)
- Artificial Intelligence, Computer Science
- Applied Scientist (visitor) at Bing, Microsoft London (May-Sept 2015)
- Bing query formulation (Host: Nicola Cancedda)
- Visting Researcher at Microsoft Research, India (June - Sept 2014)
- Machine Translation for Code-mixed Text (Host: Monojit Chaudhury)
- Visiting Researcher at Institute of Infocomm Research (I
2 R), Singapore (Jan - Aug 2013) - Deep Learning for Natural Language Processing (Host: Rafael E. Banchs)
- Visiting Researcher at FBK Trento, Italy (Sept-Oct 2012)
- Graph-based Semi-Supervised Learning for Entity Linking (Host: Claudio Giuliano)
- Mentor at Google Summer of Codes (April-Aug, 2012-16) [info]
- Demo track at CODS-COMAD 2019, Kolkata, India.
- Shared task on Mixed Script Information Retrieval at FIRE 2015, Gandhinagar, India.
- International Workshop on Embeddings and Semantics, Alicante, Spain.
- Shared task on Translitrerated Search at FIRE 2014, Bangalore, India.
- CL!NSS track at FIRE 2013, New Delhi, India.
- PAN Lab at CLEF 2013, Valencia, Spain.
- CL!NSS track at FIRE 2012, Kolkata, India.
- PAN Lab at CLEF 2012, Rome, Italy.
- Cross-view Embeddings for Information Retrieval [pdf]
Parth Gupta
Doctoral Thesis, UPV (Valencia, Spain)
- Learning to Rank - Using Bayesian Networks [pdf]
Parth Gupta
Master's Thesis, DA-IICT (Gandhinagar, India) - Continuous space models for CLIR [pdf]
Parth Gupta, Rafael E. Banchs and Paolo Rosso
Information Processing & Management, 2016 (Impact Factor: 1.397) - Cross-language plagiarism detection over continuous-space-and knowledge graph-based representations of language
Parth Gupta, Marc Franco-Salvador, Paolo Rosso and Rafael E. Banchs
Knowledge-Based Systems, 2016 (Impact Factor: 3.325) - A deep source-context feature for lexical selection in statistical machine translation
Parth Gupta, Marta R. Costa-Jussà, Rafael E. Banchs and Paolo Rosso
Pattern Recognition Letters, 2016 (Impact Factor: 1.586) - Squeezing bottlenecks: exploring the limits of autoencoder semantic representation capabilities
Parth Gupta, Rafael E. Banchs and Paolo Rosso
Neurocomputing, 2016 (Impact Factor: 2.005) - Methods for Cross-Language Plagiarism Detection [code]
Alberto Barrón-Cedeño∗, Parth Gupta∗ and Paolo Rosso (∗ Equal contribution)
Knowledge-Based Systems Vol. 50, 2013 (Impact Factor: 4.104) - Treating Cold Start in Product Search by Priors[pdf]
Parth Gupta, Tommaso Dreossi, Jan Bakus, Yu-hsiang Lin and Vamsi Salaka
Proceedings of WWW 2020 (Teipei, Taiwan) - Retrieving Information from Multiple Sources[pdf]
Anurag Roy, Kripabandhu Ghosh, Moumita Basu, Parth Gupta and Saptarshi Ghosh
Proceedings of WWW 2018 (Lyon, France) - Learning to classify inappropriate query-completions [pdf]
Parth Gupta and Jose Santos
Proceedings of ECIR 2017 (Scotland, UK) - Query Expansion for Mixed-script Information Retrieval [pdf][code] [demo]
Parth Gupta, Kalika Bali, Rafael Banchs, Monojit Choudhury and Paolo Rosso
Proceedings of SIGIR 2014 (Gold Coast, Australia) - Enrichment of Bilingual Dictionary through News Stream Data [data-code]
Ajay Dubey, Parth Gupta, Vasudev Varma and Paolo Rosso
Proceedings of LREC 2014 (Reykjavík, Iceland) - Cross-Language Plagiarism Detection using a Multilingual Semantic Network [pdf]
Marc Franco Salvador, Parth Gupta and Paolo Rosso
Proceedings of ECIR 2013 (Moscow, Russia) - Expected Divergence based Feature Selection for Learning to Rank [pdf] [poster][code]
Parth Gupta and Paolo Rosso
Proceedings of COLING 2012 (Mumbai, India) - Cross-language High Similarity Search using a Conceptual Thesaurus [pdf] [slides]
Parth Gupta, Alberto Barrón-Cedeño and Paolo Rosso
Proceedings of CLEF 2012 (Rome, Italy) - Detection of Paraphrastic Cases of Mono-lingual and Cross-lingual Plagiarism [pdf]
Parth Gupta, Khushboo Singhal, Prasenjit Majumder and Paolo Rosso
Proceedings of ICON 2011 (Chennai, India) - Text Reuse with ACL: (Upward) Trends [pdf] [slides]
Parth Gupta and Paolo Rosso
Workshop on Rediscovering 50 Years of Discoveries, ACL 2012 (Jeju, South Korea) - Multiword Named Entities Extraction from Cross-Language Text Re-use [pdf] [slides]
Parth Gupta, Khushboo Singhal and Paolo Rosso
CREDISLAS Workshop, LREC 2012 (Istanbul, Turkey) - Mapping Hindi-English Text Re-use Document Pairs [pdf] [slides]
Parth Gupta and Khushboo Singhal
Notebook Papers of Forum for Information Retrieval Evaluation, FIRE 2011 (Mumbai, India) - External & Intrinsic Plagiarism Detection: VSM & Discourse Markers based Approach [pdf]
Sameer Rao, Parth Gupta, Khushboo Singhal, and Prasenjit Majumder
Notebook Papers of CLEF 2011 LABs and Workshops, CLEF 2011 (Amsterdam, The Netherlands) - External Plagiarism Detection: N-Gram Approach using Named Entity Recognizer [pdf]
Parth Gupta, Sameer Rao, and Prasenjit Majumder
Notebook Papers of CLEF 2010 LABs and Workshops, CLEF 2010 (Padua, Italy) - jDNN: Deep learning tookkit (under development and very less documented) with CUDA support. [java]
- Mixed-script Equivalents: The code used in "Query Expansion for Multi-script Information Retrieval" with trained models. [java]
- Xapian: Large scale search engine library - an open source project with commercial support. I implemented the learning to rank module xapian-letor which also was extended as GSoC project in 2012. [c++]
- FS-ED for Letor: Expected divergence based feature selection module. The feature selection works really well (statistically significant) if used with ranking algirithm based on large margin classifiers e.g. RankSVM. [java]
- Terrier Wrapper: A wrapper on top of Terrier 3.5 to perform variaous operations from collecting term/document statistics, using stemmer off-the-shelf, creating term-document matrix etc. More details available on the code page. [java]
- Replicated SoftMax (RSM): Implementation for modelling RSM type Restricted Boltzmann Machine (RBM) (email for the copy). [octave]
- Cross-language PD: Detailed fragment identification algorithm presented in Knoledge-Based Systems paper. [java]
- IR Evaluation Framework: IR evaluation framework with measures like MAP, NDCG@k, MRR, Recall etc. [perl]
Organisation
Not actively updatedPublications
Not updated since 2020, please see Google Scholar for the updated list.Thesis
Journals
Conferences
Workshops
Modeling of terms across scripts through autoencoders [pdf]
Parth Gupta
SIGIR 2014 Doctoral Consortium (Gold Coast, Australia)
English-to-Hindi system description for WMT 2014: Deep Source-Context Features for Moses
Parth Gupta, Marta Costa-jussà Ruiz, Rafael E. Banchs, Paolo Rosso
The 9th ACL WMT workshop on Statistical Machine Translation, ACL 2014 (Baltimore, USA)
On Dimensionality Reduction Techniques for Cross-Language Information Retrieval [pdf]
Parth Gupta
Future Directions in Information Access Symposium (FDIA) in Conjunction with European Summer School in Information Retrieval (ESSIR), FDIA@ESSIR, 2013 (Granada, Spain)