EMNLP 2016

Sequence-to-Sequence Learning as Beam-Search Optimization

EMNLP 2016 pytorch/fairseq

In this work, we introduce a model and beam-search training scheme, based on the work of Daume III and Marcu (2005), that extends seq2seq to learn global sequence scores.

LANGUAGE MODELLING MACHINE TRANSLATION TEXT GENERATION

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

EMNLP 2016 nicholaslocascio/deep-regex

This paper explores the task of translating natural language queries into regular expressions which embody their meaning.

Deep Reinforcement Learning for Mention-Ranking Coreference Models

EMNLP 2016 clarkkev/deep-coref

Coreference resolution systems are typically trained with heuristic loss functions that require careful tuning.

COREFERENCE RESOLUTION

Structured prediction models for RNN based sequence labeling in clinical text

EMNLP 2016 abhyudaynj/LSTM-CRF-models

In this work we experimented with various CRF based structured learning models with Recurrent Neural Networks.

NAMED ENTITY RECOGNITION (NER) STRUCTURED PREDICTION

Transfer Learning for Low-Resource Neural Machine Translation

EMNLP 2016 isi-nlp/Zoph_RNN

Ensembling and unknown word replacement add another 2 Bleu which brings the NMT performance on low-resource machine translation close to a strong syntax based machine translation (SBMT) system, exceeding its performance on one language pair.

LOW-RESOURCE NEURAL MACHINE TRANSLATION TRANSFER LEARNING