PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Chaturvedi, Snigdha"

Author of the publication

copydeleteadd this publication to your clipboard
A Joint Model for Semantic Sequences: Frames, Entities, Sentiments.

, , and . CoNLL, page 173-183. Association for Computational Linguistics, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Chaturvedi, Snigdha
add a person with the name Chaturvedi, Snigdha
 

Other publications of authors with the same name

Weakly-Supervised Opinion Summarization by Leveraging External Information., and . CoRR, (2019)Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences, , , , and . Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), page 252--262. (New Orleans, Louisana, USA, 1--6 June 2018 2018)Inferring Interpersonal Relations in Narrative Summaries., , and . AAAI, page 2807-2813. AAAI Press, (2016)Ask, and Shall You Receive? Understanding Desire Fulfillment in Natural Language Text., , and . AAAI, page 2697-2703. AAAI Press, (2016)Inferring Interpersonal Relations in Narrative Summaries., , and . CoRR, (2015)Discriminatively Enhanced Topic Models., , and . ICDM, page 985-990. IEEE Computer Society, (2013)Adversarial Scrubbing of Demographic Information for Text Classification., , , , , and . EMNLP (1), page 550-562. Association for Computational Linguistics, (2021)Is Everything in Order? A Simple Way to Order Sentences., , and . EMNLP (1), page 10769-10779. Association for Computational Linguistics, (2021)Story Comprehension for Predicting What Happens Next., , and . EMNLP, page 1603-1614. Association for Computational Linguistics, (2017)Estimating accuracy for text classification tasks on large unlabeled data., , , and . CIKM, page 889-898. ACM, (2010)