EMNLP 2017
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.
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.
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)
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.
#19 best model for
Aspect-Based Sentiment Analysis
on SemEval 2014 Task 4 Sub Task 2
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.
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.