Learning Universal Representations from Word to Sentence

10 September 2020

Papers citing "Learning Universal Representations from Word to Sentence"

10 / 10 papers shown

Title
Sentence Analogies: Exploring Linguistic Relationships and Regularities in Sentence Embeddings Xunjie Zhu Gerard de Melo NAI 31 12 0 09 Mar 2020
A Primer in BERTology: What we know about how BERT works Anna Rogers Olga Kovaleva Anna Rumshisky OffRL 94 1,498 0 27 Feb 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 373 6,469 0 26 Sep 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,316 0 27 Aug 2019
FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance Wataru Sakata Tomohide Shibata Ribeka Tanaka Sadao Kurohashi RALM 50 108 0 08 May 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 353 897 0 03 May 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 233 11,565 0 15 Feb 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,497 0 18 Apr 2017
Bag of Tricks for Efficient Text Classification Armand Joulin Edouard Grave Piotr Bojanowski Tomas Mikolov VLM 183 4,632 0 06 Jul 2016
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 326 4,294 0 21 Aug 2015