2.2k citations
- University of WashingtonUS72 papers
- Carnegie Mellon UniversityUS25 papers
- University of PennsylvaniaUS14 papers
- Bar-Ilan UniversityIL13 papers
- Allen InstituteUS11 papers
- California University of PennsylvaniaUS9 papers
- Stanford UniversityUS8 papers
- Hebrew University of JerusalemIL7 papers
- Microsoft (United States)US7 papers
- University of Illinois Urbana-ChampaignUS6 papers
- Cornell UniversityUS5 papers
- Google (United States)US5 papers
26 papers · 2 filters
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie +1
When answering a question, people often draw upon their rich world knowledge in addition to the particular context. Recent work has focused primarily on answering questions given s…
You May Not Need Attention
Ofir Press, Noah A. Smith
In NMT, how far can we get without attention and without separate encoding and decoding? To answer that question, we introduce a recurrent neural translation model that does not us…
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
Conversational machine comprehension requires the understanding of the conversation history, such as previous question/answer pairs, the document context, and the current question.…
Dissecting Contextual Word Embeddings: Architecture and Representation
Matthew E. Peters, Mark Neumann, Luke Zettlemoyer +1
Contextual word representations derived from pre-trained bidirectional language models (biLMs) have recently been shown to provide significant improvements to the state of the art…
Neural Cross-Lingual Named Entity Recognition with Minimal Resources
Jiateng Xie, Zhilin Yang, Graham Neubig +2
For languages with no annotated resources, unsupervised transfer of natural language processing models such as named-entity recognition (NER) from resource-rich languages would be…
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Todor Mihaylov, Peter Clark, Tushar Khot +1
We present a new kind of question answering dataset, OpenBookQA, modeled after open book exams for assessing human understanding of a subject. The open book that comes with our que…