EMNLP 2017

Massive Exploration of Neural Machine Translation Architectures

EMNLP 2017 google/seq2seq

Neural Machine Translation (NMT) has shown remarkable progress over the past few years with production systems now being deployed to end-users.

MACHINE TRANSLATION

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.

VISUAL QUESTION ANSWERING

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.

COREFERENCE RESOLUTION

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions

EMNLP 2017 iesl/dilated-cnn-ner

Today when many practitioners run basic NLP on the entire web and large-volume traffic, faster methods are paramount to saving time and energy costs.

NAMED ENTITY RECOGNITION STRUCTURED PREDICTION