WS 2018

AllenNLP: A Deep Semantic Natural Language Processing Platform

WS 2018 allenai/allennlp

This paper describes AllenNLP, a platform for research on deep learning methods in natural language understanding.

READING COMPREHENSION SEMANTIC ROLE LABELING

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

WS 2018 PaddlePaddle/models

Experiments show that human performance is well above current state-of-the-art baseline systems, leaving plenty of room for the community to make improvements.

MACHINE READING COMPREHENSION

Zero-Shot Dialog Generation with Cross-Domain Latent Actions

WS 2018 snakeztc/NeuralDialog-ZSDG

This paper introduces zero-shot dialog generation (ZSDG), as a step towards neural dialog systems that can instantly generalize to new situations with minimal data.

DIALOGUE GENERATION GOAL-ORIENTED DIALOG

Robust and Scalable Differentiable Neural Computer for Question Answering

WS 2018 joergfranke/ADNC

Deep learning models are often not easily adaptable to new tasks and require task-specific adjustments.

QUESTION ANSWERING

Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline

WS 2018 kawine/usif

We propose a random walk model that is robust to this confound, where the probability of word generation is inversely related to the angular distance between the word and sentence embeddings.

SENTENCE EMBEDDINGS TEXT GENERATION TRANSFER LEARNING WORD EMBEDDINGS

Low-rank passthrough neural networks

WS 2018 Avmb/lowrank-gru

Various common deep learning architectures, such as LSTMs, GRUs, Resnets and Highway Networks, employ state passthrough connections that support training with high feed-forward depth or recurrence over many time steps.

LANGUAGE MODELLING

PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks

WS 2018 jind11/PubMed-PICO-Detection

Successful evidence-based medicine (EBM) applications rely on answering clinical questions by analyzing large medical literature databases.

DECISION MAKING

Jointly Embedding Entities and Text with Distant Supervision

WS 2018 OSU-slatelab/JET

Learning representations for knowledge base entities and concepts is becoming increasingly important for NLP applications.

Discourse Coherence in the Wild: A Dataset, Evaluation and Methods

WS 2018 aylai/GCDC-corpus

To date there has been very little work on assessing discourse coherence methods on real-world data.