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EMNLP - 2018
Total Papers:- 1046
Total Papers accross all years:- 12236
Total Citations :- 470
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Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System
Barbara Rychalska |
Dominika Basaj |
Anna Wróblewska |
Przemyslaw Biecek |
Interpretable Textual Neuron Representations for NLP
Nina Poerner |
Benjamin Roth |
Hinrich Schütze |
Language Models Learn POS First
Naomi Saphra |
Adam Lopez |
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
Nicolas Garneau |
Jean-Samuel Leboeuf |
Luc Lamontagne |
Probing sentence embeddings for structure-dependent tense
Geoff Bacon |
Terry Regier |
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak |
Aparajita Haldar |
Rachel Rudinger |
J. Edward Hu |
Ellie Pavlick |
Aaron Steven White |
Benjamin Van Durme |
Interpretable Word Embedding Contextualization
Kyoung-Rok Jang |
Sung-Hyon Myaeng |
Sang-Bum Kim |
State Gradients for RNN Memory Analysis
Lyan Verwimp |
Hugo Van hamme |
Vincent Renkens |
Patrick Wambacq |
Extracting Syntactic Trees from Transformer Encoder Self-Attentions
David Mareček |
Rudolf Rosa |
Portable, layer-wise task performance monitoring for NLP models
Tom Lippincott |
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Wang |
Amanpreet Singh |
Julian Michael |
Felix Hill |
Omer Levy |
Samuel Bowman |
Explicitly modeling case improves neural dependency parsing
Clara Vania |
Adam Lopez |
Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis
Kelly Zhang |
Samuel Bowman |
Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model
Steven Derby |
Paul Miller |
Brian Murphy |
Barry Devereux |
Interpretable Structure Induction via Sparse Attention
Ben Peters |
Vlad Niculae |
André F. T. Martins |
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