EACL 2017

Nematus: a Toolkit for Neural Machine Translation

EACL 2017 rsennrich/nematus

We present Nematus, a toolkit for Neural Machine Translation.

MACHINE TRANSLATION

Very Deep Convolutional Networks for Text Classification

EACL 2017 zonetrooper32/VDCNN

The dominant approach for many NLP tasks are recurrent neural networks, in particular LSTMs, and convolutional neural networks.

TEXT CLASSIFICATION

Using the Output Embedding to Improve Language Models

EACL 2017 lium-lst/nmtpy

We study the topmost weight matrix of neural network language models.

EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis

EACL 2017 JULIELab/EmoBank

We describe EmoBank, a corpus of 10k English sentences balancing multiple genres, which we annotated with dimensional emotion metadata in the Valence-Arousal-Dominance (VAD) representation format.

EMOTION RECOGNITION SENTIMENT ANALYSIS

Neural Architectures for Fine-grained Entity Type Classification

EACL 2017 shimaokasonse/NFGEC

In this work, we investigate several neural network architectures for fine-grained entity type classification.

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

EACL 2017 keisks/jfleg

We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for developing and evaluating grammatical error correction (GEC).

GRAMMATICAL ERROR CORRECTION

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

EACL 2017 rajarshd/ChainsofReasoning

Our goal is to combine the rich multistep inference of symbolic logical reasoning with the generalization capabilities of neural networks.