EMNLP 2017
Massive Exploration of Neural Machine Translation Architectures
Neural Machine Translation (NMT) has shown remarkable progress over the past few years with production systems now being deployed to end-users.
ParlAI: A Dialog Research Software Platform
EMNLP 2017
• facebookresearch/ParlAI
• 
We introduce ParlAI (pronounced "par-lay"), an open-source software platform for dialog research implemented in Python, available at http://parl. ai.
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
EMNLP 2017
• facebookresearch/InferSent
•
Many modern NLP systems rely on word embeddings, previously trained in an unsupervised manner on large corpora, as base features.
CROSS-LINGUAL NATURAL LANGUAGE INFERENCE SEMANTIC TEXTUAL SIMILARITY TRANSFER LEARNING WORD EMBEDDINGS
NeuroNER: an easy-to-use program for named-entity recognition based on neural networks
EMNLP 2017
• Franck-Dernoncourt/NeuroNER
• 
Named-entity recognition (NER) aims at identifying entities of interest in a text.
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
EMNLP 2017
• bfelbo/deepmoji
•
NLP tasks are often limited by scarcity of manually annotated data.
SOTA for Sarcasm Detection on SCv1 (using extra training data)
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
EMNLP 2017
• UKPLab/emnlp2017-bilstm-cnn-crf
•
In this paper we show that reporting a single performance score is insufficient to compare non-deterministic approaches.
Recurrent Attention Network on Memory for Aspect Sentiment Analysis
EMNLP 2017
• songyouwei/ABSA-PyTorch
•
We propose a novel framework based on neural networks to identify the sentiment of opinion targets in a comment/review.
#18 best model for
Aspect-Based Sentiment Analysis
on SemEval 2014 Task 4 Sub Task 2
End-to-end Neural Coreference Resolution
EMNLP 2017
• kentonl/e2e-coref
•
We introduce the first end-to-end coreference resolution model and show that it significantly outperforms all previous work without using a syntactic parser or hand-engineered mention detector.
#11 best model for
Coreference Resolution
on OntoNotes
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
We study the problem of learning to reason in large scale knowledge graphs (KGs).
KNOWLEDGE GRAPH EMBEDDING KNOWLEDGE GRAPH EMBEDDINGS KNOWLEDGE GRAPHS
Context-Aware Representations for Knowledge Base Relation Extraction
EMNLP 2017
• UKPLab/emnlp2017-relation-extraction
•
We demonstrate that for sentence-level relation extraction it is beneficial to consider other relations in the sentential context while predicting the target relation.