IJCNLP 2017

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

IJCNLP 2017 brightmart/text_classification

Convolutional Neural Networks (CNNs) have recently achieved remarkably strong performance on the practically important task of sentence classification (kim 2014, kalchbrenner 2014, johnson 2014).

SENTENCE CLASSIFICATION

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts

IJCNLP 2017 beamandrew/medical-data

First, the majority of datasets for sequential short-text classification (i. e., classification of short texts that appear in sequences) are small: we hope that releasing a new large dataset will help develop more accurate algorithms for this task.

SENTENCE CLASSIFICATION

End-to-End Task-Completion Neural Dialogue Systems

IJCNLP 2017 MiuLab/TC-Bot

One of the major drawbacks of modularized task-completion dialogue systems is that each module is trained individually, which presents several challenges.

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

IJCNLP 2017 snakeztc/NeuralDialog-LAED

We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects.

Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF

IJCNLP 2017 yanshao9798/tagger

We present a character-based model for joint segmentation and POS tagging for Chinese.

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

IJCNLP 2017 EdinburghNLP/code-docstring-corpus

Automated documentation of programming source code and automated code generation from natural language are challenging tasks of both practical and scientific interest.

CODE GENERATION DATA AUGMENTATION MACHINE TRANSLATION

Multilingual Hierarchical Attention Networks for Document Classification

IJCNLP 2017 idiap/mhan

Hierarchical attention networks have recently achieved remarkable performance for document classification in a given language.

DOCUMENT CLASSIFICATION MULTI-TASK LEARNING

Dataset for a Neural Natural Language Interface for Databases (NNLIDB)

IJCNLP 2017 johnthebrave/nlidb-datasets

Progress in natural language interfaces to databases (NLIDB) has been slow mainly due to linguistic issues (such as language ambiguity) and domain portability.

Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings

IJCNLP 2017 kanekomasahiro/grammatical-error-detection

In this study, we improve grammatical error detection by learning word embeddings that consider grammaticality and error patterns.

GRAMMATICAL ERROR DETECTION LEARNING WORD EMBEDDINGS

A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse

IJCNLP 2017 soskek/dynamic_neural_text_model

This study addresses the problem of identifying the meaning of unknown words or entities in a discourse with respect to the word embedding approaches used in neural language models.

LANGUAGE MODELLING WORD EMBEDDINGS