[SING] 08 July 2021 09:00-10:00am: He He [NYU] / Guarding Against Spurious Correlations in Natural Language Understanding

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Pan, Liangming

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Jul 6, 2021, 12:32:32 AM7/6/21
to si...@wing.comp.nus.edu.sg
Dear Singapore NLP interest groups: 

Here is the information for the 7-th talk of the WING-NUS NLP Seminar, a series of invited talks over this summer made by current rising stars in NLP.  The seminar website is at https://wing-nus.github.io/nlp-seminar/. Please join us at the Zoom address if you're interested.  The talk and slides may be made available on the website but please do join us to avoid disappointment.

The talk is open to all, so feel free to circulate to others you might think are interested. 

WING-NUS NLP Seminar 2021 - Talk 7
   
Title: Guarding Against Spurious Correlations in Natural Language Understanding
Speaker: He He
Assistant Professor
New York University

Date/Time: 08 July 2021, Thursday, 09:00 AM to 10:00 AM
Venue: Join Zoom Meeting
http://bit.ly/knmnyn-zoom-nus
ZOOM Room ID: 770 447 8736, PIN: 3244
Chaired by: A/P Min-Yen Kan, School of Computing
(ka...@comp.nus.edu.sg)
   
ABSTRACT:
While we have made great progress in natural language understanding, transferring the success from benchmark datasets to real applications has not always been smooth. Notably, models sometimes make mistakes that are confusing and unexpected to humans. In this talk, I will discuss shortcuts in NLP tasks and present our recent works on guarding against spurious correlations in natural language understanding tasks (e.g. textual entailment and paraphrase identification) from the perspectives of both robust learning algorithms and better data coverage. Motivated by the observation that our data often contains a small amount of "unbiased" examples that do not exhibit spurious correlations, we present new learning algorithms that better exploit these minority examples. On the other hand, we may want to directly augment such "unbiased" examples. While recent works along this line are promising, we show several pitfalls in the data augmentation approach.

BIO-DATA:
He He is an assistant professor in the Center for Data Science and Courant Institute at New York University. Before joining NYU, she spent a year at Amazon Web Services and was a postdoc at Stanford University. She received her PhD from University of Maryland, College Park. She is broadly interested in machine learning and natural language processing. Her current research interests include text generation, dialogue systems, and robust language understanding. 


Please contact me if you have any questions. Contact info: 

Liangming Pan
Web Information Retrieval / Natural Language Processing Group (WING)
National University of Singapore

Thanks very much. Looking forward to your participation.

Thanks, 
Liangming


Liangming Pan (潘亮铭)

Web Information Retrieval / Natural Language Processing Group (WING)
National University of Singapore

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