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.

VISUAL QUESTION ANSWERING

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

Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning

EMNLP 2017 awslabs/sockeye

The performance of Neural Machine Translation (NMT) models relies heavily on the availability of sufficient amounts of parallel data, and an efficient and effective way of leveraging the vastly available amounts of monolingual data has yet to be found.

LANGUAGE MODELLING MACHINE TRANSLATION MULTI-TASK LEARNING

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