Papers by Sebastin Santy
CoSSAT: Code-Switched Speech Annotation Tool (D19-59)
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| Challenge: | Code-switching is a phenomenon that occurs in multilingual societies where speakers who are fluent in two or more languages switch between these languages in the same conversation or utterance. |
| Approach: | They propose an interface which helps annotators transcribe code-switched speech faster, more easily and more accurately than a traditional interface. |
| Outcome: | The proposed interface can be used by 10 users to transcribe Hindi-English code-switched speech faster, easier and more accurately than a traditional interface. |
NLPositionality: Characterizing Design Biases of Datasets and Models (2023.acl-long)
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| Challenge: | Design biases in NLP systems often stem from creator’s positionality, i.e., views and lived experiences shaped by identity and background. |
| Approach: | They propose a framework for characterizing design biases and quantifying the positionality of NLP datasets and models. |
| Outcome: | The proposed framework characterizes design biases and quantifies alignment with dataset labels and model predictions. |
The State and Fate of Linguistic Diversity and Inclusion in the NLP World (2020.acl-main)
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| Challenge: | a small number of the over 7000 languages of the world are represented in the rapidly evolving language technologies and applications. |
| Approach: | They examine the relationship between types of languages, resources, and their representation in NLP conferences to understand the trajectory that different languages have followed over time. |
| Outcome: | The proposed model will help to bridge the gap between languages and their resources and convince the ACL community to prioritise the resolution of the predicaments highlighted. |
INMT: Interactive Neural Machine Translation Prediction (D19-3)
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| Challenge: | Existing MT systems are only useful for information assimilation, and require substantial manual post processing. |
| Approach: | They propose an Interactive Machine Translation interface that assists human translators with on-the-fly hints and suggestions. |
| Outcome: | The proposed interface makes the end-to-end translation process faster, more efficient and creates high-quality translations. |
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices (2021.findings-acl)
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| Challenge: | Ethical aspects of research in language technologies have received much attention recently . do we observe a rise in formal ethical reviews of NLP studies? |
| Approach: | They conduct a qualitative and quantitative analysis of the ethics of NLP research . they compare the ethical reviews of NLAs to those of related disciplines . |
| Outcome: | The results compare the ACL Anthology to other related disciplines in the field . the results show that there is a heightened awareness of ethical issues that was previously lacking . |
Designing, Evaluating, and Learning from Humans Interacting with NLP Models (2023.emnlp-tutorial)
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| Challenge: | This tutorial will cover how to conduct human-in-the-loop usability evaluations to ensure that models are capable of interacting with humans. |
| Approach: | They will provide a systematic overview of key considerations and effective approaches for studying human-NLP model interactions. |
| Outcome: | This tutorial will cover how to conduct human-in-the-loop usability evaluations to ensure that models are capable of interacting with humans. |
Learnings from Technological Interventions in a Low Resource Language: A Case-Study on Gondi (2020.lrec-1)
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Devansh Mehta, Sebastin Santy, Ramaravind Kommiya Mothilal, Brij Mohan Lal Srivastava, Alok Sharma, Anurag Shukla, Vishnu Prasad, Venkanna U, Amit Sharma, Kalika Bali
| Challenge: | 40% of all the languages in the world face the danger of extinction in the near future . when a language dies out, future generations lose a vital part of the culture that is necessary to completely understand it. |
| Approach: | They propose to use 4 technology-driven methods of data collection to collect data on Gondi, a low-resource vulnerable language spoken by 2.3 million tribal people in south and central India. |
| Outcome: | The proposed methods collected 12,000 translated words and/or sentences and identified more than 650 community members whose help can be solicited for future translation efforts. |