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WS - 2019
Total Papers:- 1977
Total Papers accross all years:- 21866
Total Citations :- 6
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Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Ian Porada |
Kaheer Suleman |
Jackie Chi Kit Cheung |
How Pre-trained Word Representations Capture Commonsense Physical Comparisons
Pranav Goel |
Shi Feng |
Jordan Boyd-Graber |
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
Cherry Colin |
Durrett Greg |
Foster George |
Haffari Reza |
Khadivi Shahram |
Peng Nanyun |
Ren Xiang |
Swayamdipta Swabha |
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
Varun Kumar |
Hadrien Glaude |
Cyprien de Lichy |
Wlliam Campbell |
A Comparative Analysis of Unsupervised Language Adaptation Methods
Gil Rocha |
Henrique Lopes Cardoso |
A logical-based corpus for cross-lingual evaluation
Felipe Salvatore |
Marcelo Finger |
Roberto Hirata Jr |
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models
Jeroen Van Hautte |
Guy Emerson |
Marek Rei |
Bag-of-Words Transfer: Non-Contextual Techniques for Multi-Task Learning
Seth Ebner |
Felicity Wang |
Benjamin Van Durme |
BERT is Not an Interlingua and the Bias of Tokenization
Jasdeep Singh |
Bryan McCann |
Richard Socher |
Caiming Xiong |
Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining
Xiaoman Pan |
Thamme Gowda |
Heng Ji |
Jonathan May |
Scott Miller |
Deep Bidirectional Transformers for Relation Extraction without Supervision
Yannis Papanikolaou |
Ian Roberts |
Andrea Pierleoni |
Domain Adaptation with BERT-based Domain Classification and Data Selection
Xiaofei Ma |
Peng Xu |
Zhiguo Wang |
Ramesh Nallapati |
Bing Xiang |
Empirical Evaluation of Active Learning Techniques for Neural MT
Xiangkai Zeng |
Sarthak Garg |
Rajen Chatterjee |
Udhyakumar Nallasamy |
Matthias Paulik |
Fast Domain Adaptation of Semantic Parsers via Paraphrase Attention
Avik Ray |
Yilin Shen |
Hongxia Jin |
Few-Shot and Zero-Shot Learning for Historical Text Normalization
Marcel Bollmann |
Natalia Korchagina |
Anders Søgaard |
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