NAACL 2019

Pooled Contextualized Embeddings for Named Entity Recognition

NAACL 2019 zalandoresearch/flair

We make all code and pre-trained models available to the research community for use and reproduction.

#6 best model for Named Entity Recognition on CoNLL 2003 (English) (using extra training data)

NAMED ENTITY RECOGNITION

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP

NAACL 2019 zalandoresearch/flair

We present FLAIR, an NLP framework designed to facilitate training and distribution of state-of-the-art sequence labeling, text classification and language models.

TEXT CLASSIFICATION

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

NAACL 2019 facebookresearch/fairseq-py

fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks.

LANGUAGE MODELLING TEXT GENERATION

Star-Transformer

NAACL 2019 fastnlp/fastNLP

Although Transformer has achieved great successes on many NLP tasks, its heavy structure with fully-connected attention connections leads to dependencies on large training data.

NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION

Better Word Embeddings by Disentangling Contextual n-Gram Information

NAACL 2019 epfml/sent2vec

Pre-trained word vectors are ubiquitous in Natural Language Processing applications.

WORD EMBEDDINGS

Consistency by Agreement in Zero-shot Neural Machine Translation

NAACL 2019 google-research/language

Generalization and reliability of multilingual translation often highly depend on the amount of available parallel data for each language pair of interest.

MACHINE TRANSLATION ZERO-SHOT MACHINE TRANSLATION

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

NAACL 2019 neulab/compare-mt

In this paper, we describe compare-mt, a tool for holistic analysis and comparison of the results of systems for language generation tasks such as machine translation.

MACHINE TRANSLATION TEXT GENERATION

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

NAACL 2019 HSLCY/ABSA-BERT-pair

Aspect-based sentiment analysis (ABSA), which aims to identify fine-grained opinion polarity towards a specific aspect, is a challenging subtask of sentiment analysis (SA).

ASPECT-BASED SENTIMENT ANALYSIS NATURAL LANGUAGE INFERENCE QUESTION ANSWERING

Rethinking Complex Neural Network Architectures for Document Classification

NAACL 2019 castorini/hedwig

Neural network models for many NLP tasks have grown increasingly complex in recent years, making training and deployment more difficult.

DOCUMENT CLASSIFICATION LANGUAGE MODELLING