Stanislav Peshterliev

According to our database, Stanislav Peshterliev authored at least 13 papers between 2013 and 2023.

Collaborative distances:

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

2023

Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite.

Xiao Yang, Ahmed K. Mohamed, Shashank Jain, Stanislav Peshterliev, Debojeet Chatterjee, Hanwen Zha, Nikita Bhalla, Gagan Aneja, Pranab Mohanty

CoRR, 2023

2022

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Robustly Optimized and Distilled Training for Natural Language Understanding.

Haytham ElFadeel, Stan Peshterliev

CoRR, 2021

Conversational Answer Generation and Factuality for Reading Comprehension Question-Answering.

Stan Peshterliev, Barlas Oguz, Debojeet Chatterjee, Hakan Inan, Vikas Bhardwaj

CoRR, 2021

Decoupled Transformer for Scalable Inference in Open-domain Question Answering.

Haytham ElFadeel, Stanislav Peshterliev

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.

Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih

CoRR, 2020

Self-Attention Gazetteer Embeddings for Named-Entity Recognition.

Stanislav Peshterliev, Christophe Dupuy, Imre Kiss

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition.

Stanislav Peshterliev, Alexander Hsieh, Imre Kiss

CoRR, 2019

Active Learning for New Domains in Natural Language Understanding.

Stanislav Peshterliev, John Kearney, Abhyuday Jagannatha, Imre Kiss, Spyros Matsoukas

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Statistical Model Compression for Small-Footprint Natural Language Understanding.

Grant P. Strimel, Kanthashree Mysore Sathyendra, Stanislav Peshterliev

Proceedings of the Interspeech 2018, 2018

2013

Web Credibility: Features Exploration and Credibility Prediction.

Alexandra Olteanu, Stanislav Peshterliev, Xin Liu, Karl Aberer

Proceedings of the Advances in Information Retrieval, 2013