WS 2018

Scaling Neural Machine Translation

WS 2018 facebookresearch/fairseq-py

Sequence to sequence learning models still require several days to reach state of the art performance on large benchmark datasets using a single machine.

MACHINE TRANSLATION

A Call for Clarity in Reporting BLEU Scores

WS 2018 mjpost/sacreBLEU

The field of machine translation faces an under-recognized problem because of inconsistency in the reporting of scores from its dominant metric.

MACHINE TRANSLATION TOKENIZATION

Hate Speech Dataset from a White Supremacy Forum

WS 2018 aitor-garcia-p/hate-speech-dataset

Hate speech is commonly defined as any communication that disparages a target group of people based on some characteristic such as race, colour, ethnicity, gender, sexual orientation, nationality, religion, or other characteristic.

HATE SPEECH DETECTION

Findings of the Third Shared Task on Multimodal Machine Translation

WS 2018 multi30k/dataset

In this task a source sentence in English is supplemented by an image and participating systems are required to generate a translation for such a sentence into German, French or Czech.

MULTIMODAL MACHINE TRANSLATION

Prompsit's submission to WMT 2018 Parallel Corpus Filtering shared task

WS 2018 bitextor/bicleaner

This paper describes Prompsit Language Engineering{'}s submissions to the WMT 2018 parallel corpus filtering shared task.

ACTIVE LEARNING LANGUAGE MODELLING MACHINE TRANSLATION

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models

WS 2018 DevSinghSachan/multilingual_nmt

In multilingual neural machine translation, it has been shown that sharing a single translation model between multiple languages can achieve competitive performance, sometimes even leading to performance gains over bilingually trained models.

MACHINE TRANSLATION

A Knowledge-Grounded Multimodal Search-Based Conversational Agent

WS 2018 shubhamagarwal92/mmd

Multimodal search-based dialogue is a challenging new task: It extends visually grounded question answering systems into multi-turn conversations with access to an external database.

QUESTION ANSWERING

Tilde's Machine Translation Systems for WMT 2018

WS 2018 M4t1ss/parallel-corpora-tools

For the WMT 2018 shared task, we submitted seven systems (both constrained and unconstrained) for English-Estonian and Estonian-English translation directions.

MACHINE TRANSLATION

NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification

WS 2018 alexandra-chron/wassa-2018

In this paper we present our approach to tackle the Implicit Emotion Shared Task (IEST) organized as part of WASSA 2018 at EMNLP 2018.

EMOTION CLASSIFICATION SENTIMENT ANALYSIS TRANSFER LEARNING WORD EMBEDDINGS