Paper generation

5 papers with code • 4 benchmarks • 5 datasets

Generating scientific paper texts, such as abstracts.

Most implemented papers

Paper Abstract Writing through Editing Mechanism

EagleW/ACL_titles_abstracts_dataset ACL 2018

We present a paper abstract writing system based on an attentive neural sequence-to-sequence model that can take a title as input and automatically generate an abstract.

PaperRobot: Incremental Draft Generation of Scientific Ideas

EagleW/PaperRobot ACL 2019

We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background knowledge graphs (KGs); (2) creating new ideas by predicting links from the background KGs, by combining graph attention and contextual text attention; (3) incrementally writing some key elements of a new paper based on memory-attention networks: from the input title along with predicted related entities to generate a paper abstract, from the abstract to generate conclusion and future work, and finally from future work to generate a title for a follow-on paper.

Neural Academic Paper Generation

inzva/fake-academic-paper-generation 2 Dec 2019

In this work, we tackle the problem of structured text generation, specifically academic paper generation in $\LaTeX{}$, inspired by the surprisingly good results of basic character-level language models.

Reinforcement Learning Guided Multi-Objective Exam Paper Generation

researcher-tiger/moepg 2 Mar 2023

To reduce the repetitive and complex work of instructors, exam paper generation (EPG) technique has become a salient topic in the intelligent education field, which targets at generating high-quality exam paper automatically according to instructor-specified assessment criteria.

Vietnamese Poem Generation & The Prospect Of Cross-Language Poem-To-Poem Translation

Anshler/poem_generator 2 Jan 2024

Poetry generation has been a challenging task in the field of Natural Language Processing, as it requires the model to understand the nuances of language, sentiment, and style.