Search Results for author: Tanmay Parekh

Found 8 papers, 6 papers with code

Event Detection from Social Media for Epidemic Prediction

1 code implementation2 Apr 2024 Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang

In our work, we pioneer exploiting Event Detection (ED) for better preparedness and early warnings of any upcoming epidemic by developing a framework to extract and analyze epidemic-related events from social media posts.

Event Detection

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction

1 code implementation16 Nov 2023 Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji

In this work, we identify and address evaluation challenges, including inconsistency due to varying data assumptions or preprocessing steps, the insufficiency of current evaluation frameworks that may introduce dataset or data split bias, and the low reproducibility of some previous approaches.

Benchmarking Event Extraction

Contextual Label Projection for Cross-Lingual Structured Prediction

1 code implementation16 Sep 2023 Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng

Label projection, which involves obtaining translated labels and texts jointly, is essential for leveraging machine translation to facilitate cross-lingual transfer in structured prediction tasks.

Event Argument Extraction Machine Translation +6

GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles

1 code implementation25 May 2022 Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng

We utilize this ontology to further introduce GENEVA, a diverse generalizability benchmarking dataset comprising four test suites, aimed at evaluating models' ability to handle limited data and unseen event type generalization.

Benchmarking Event Argument Extraction +1

Politeness Transfer: A Tag and Generate Approach

2 code implementations ACL 2020 Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. black, Shrimai Prabhumoye

This paper introduces a new task of politeness transfer which involves converting non-polite sentences to polite sentences while preserving the meaning.

Sentence Style Transfer +1

Dual Language Models for Code Switched Speech Recognition

no code implementations3 Nov 2017 Saurabh Garg, Tanmay Parekh, Preethi Jyothi

Since code-switching is a blend of two or more different languages, a standard bilingual language model can be improved upon by using structures of the monolingual language models.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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