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Neural Networks
11300 directly classified papers
Papers per year
2002: 2
2003: 3
2006: 11
2007: 13
2008: 16
2009: 16
2010: 23
2011: 27
2012: 30
2013: 55
2014: 69
2015: 145
2016: 408
2017: 695
2018: 1065
2019: 1479
2020: 1348
2021: 1407
2022: 1147
2023: 1123
2024: 1083
2025: 811
2026: 324
Papers
Non-sentential Question Resolution using Sequence to Sequence Learning
COLING 2016
Context-aware Natural Language Generation for Spoken Dialogue Systems
COLING 2016
User Classification with Multiple Textual Perspectives
COLING 2016
Hierarchical Memory Networks for Answer Selection on Unknown Words
COLING 2016
A Character-Aware Encoder for Neural Machine Translation
COLING 2016
Effective LSTMs for Target-Dependent Sentiment Classification
COLING 2016
On the Expressive Power of Deep Learning: A Tensor Analysis
COLT 2016
The Power of Depth for Feedforward Neural Networks
COLT 2016
benefits of depth in neural networks
COLT 2016
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts
COLING 2016
Tweet Sarcasm Detection Using Deep Neural Network
COLING 2016
Attention-Based Convolutional Neural Network for Semantic Relation Extraction
COLING 2016
Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
COLING 2016
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings
COLING 2016
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
COLING 2016
Neural-based Noise Filtering from Word Embeddings
COLING 2016
CNN- and LSTM-based Claim Classification in Online User Comments
COLING 2016
An Empirical Evaluation of various Deep Learning Architectures for Bi-Sequence Classification Tasks
COLING 2016
Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations
COLING 2016
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition
COLING 2016
Modelling Sentence Pairs with Tree-structured Attentive Encoder
COLING 2016
English-Chinese Knowledge Base Translation with Neural Network
COLING 2016
Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling
COLING 2016
A Deep Fusion Model for Domain Adaptation in Phrase-based MT
COLING 2016
What Makes Word-level Neural Machine Translation Hard: A Case Study on English-German Translation
COLING 2016
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