1 code implementation • ACL 2022 • Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang
Named Entity Recognition (NER) in Few-Shot setting is imperative for entity tagging in low resource domains.
Ranked #9 on
Few-shot NER
on Few-NERD (INTRA)
(using extra training data)
1 code implementation • 15 Apr 2021 • Shashank Sonkar, Arzoo Katiyar, Richard G. Baraniuk
Knowledge graphs link entities through relations to provide a structured representation of real world facts.
Ranked #12 on
Link Prediction
on FB15k-237
1 code implementation • EMNLP 2020 • Yi Yang, Arzoo Katiyar
We present a simple few-shot named entity recognition (NER) system based on nearest neighbor learning and structured inference.
1 code implementation • ICLR 2021 • Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Q. Weinberger, Yoav Artzi
We empirically test the impact of these factors, and identify alternative practices that resolve the commonly observed instability of the process.
no code implementations • WS 2019 • Rishi Bommasani, Arzoo Katiyar, Claire Cardie
We apply our approach to the second-order structured prediction task studied in the 2016/2017 Belief and Sentiment analysis evaluations (BeSt): given a document and its entities, relations, and events (including metadata and mentions), determine the sentiment of each entity towards every relation and event in the document.
no code implementations • NAACL 2018 • Arzoo Katiyar, Claire Cardie
We propose a novel recurrent neural network-based approach to simultaneously handle nested named entity recognition and nested entity mention detection.
no code implementations • ACL 2017 • Arzoo Katiyar, Claire Cardie
We also compare our model with an end-to-end tree-based LSTM model (SPTree) by Miwa and Bansal (2016) and show that our model performs within 1{\%} on entity mentions and 2{\%} on relations.
Ranked #9 on
Relation Extraction
on ACE 2004