Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Abhilasha Ravichander"'
Autor:
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Eduard Hovy, Hinrich Schütze, Yoav Goldberg
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 9, Pp 1012-1031 (2021)
AbstractConsistency of a model—that is, the invariance of its behavior under meaning-preserving alternations in its input—is a highly desirable property in natural language processing. In this paper we study the question: Are Pretrained Language
Externí odkaz:
https://doaj.org/article/c20cd42e8e454ec39e1cb1d0b076a64a
Autor:
Ziqi Wang, Joel R. Reidenberg, Daniel Smullen, Abhilasha Ravichander, Peter Story, N. Cameron Russell, Sebastian Zimmeck, Norman Sadeh
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2019, Iss 3, Pp 66-86 (2019)
The app economy is largely reliant on data collection as its primary revenue model. To comply with legal requirements, app developers are often obligated to notify users of their privacy practices in privacy policies. However, prior research has sugg
Autor:
Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H Hovy
Recently, models have been shown to predict the effects of unexpected situations, e.g., would cloudy skies help or hinder plant growth? Given a context, the goal of such situational reasoning is to elicit the consequences of a new situation (st) that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5223a358d0ce8e09978dff242b3746c6
http://arxiv.org/abs/2104.00814
http://arxiv.org/abs/2104.00814
Publikováno v:
ACL/IJCNLP (1)
Privacy plays a crucial role in preserving democratic ideals and personal autonomy. The dominant legal approach to privacy in many jurisdictions is the “Notice and Choice” paradigm, where privacy policies are the primary instrument used to convey
Autor:
Eduard Hovy, Yoav Goldberg, Yanai Elazar, Hinrich Schütze, Abhilasha Ravichander, Nora Kassner, Shauli Ravfogel
Publikováno v:
Transactions of the Association for Computational Linguistics
Consistency of a model -- that is, the invariance of its behavior under meaning-preserving alternations in its input -- is a highly desirable property in natural language processing. In this paper we study the question: Are Pretrained Language Models
Autor:
Alan W. Black, Siddharth Dalmia, Eduard Hovy, Florian Metze, Abhilasha Ravichander, Maria Ryskina
Publikováno v:
EACL
When Question-Answering (QA) systems are deployed in the real world, users query them through a variety of interfaces, such as speaking to voice assistants, typing questions into a search engine, or even translating questions to languages supported b
Publikováno v:
EACL
Although neural models have achieved impressive results on several NLP benchmarks, little is understood about the mechanisms they use to perform language tasks. Thus, much recent attention has been devoted to analyzing the sentence representations le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c7d192e6f02a9d2ff8c4002f0fde739
http://arxiv.org/abs/2005.00719
http://arxiv.org/abs/2005.00719
Autor:
Abhilasha Ravichander, Muthu Kumar Chandrasekaran, Anita de Waard, Michal Shmueli-Scheuer, Guy Feigenblat, Eduard Hovy
Publikováno v:
SDP@EMNLP
We present the results of three Shared Tasks held at the Scholarly Document Processing Workshop at EMNLP2020: CL-SciSumm, LaySumm and LongSumm. We report on each of the tasks, which received 18 submissions in total, with some submissions addressing t
Publikováno v:
EMNLP/IJCNLP (1)
Privacy policies are long and complex documents that are difficult for users to read and understand, and yet, they have legal effects on how user data is collected, managed and used. Ideally, we would like to empower users to inform themselves about
Publikováno v:
ACL (1)
Word embeddings are now pervasive across NLP subfields as the de-facto method of forming text representataions. In this work, we show that existing embedding models are inadequate at constructing representations that capture salient aspects of mathem