Recent reading list

Citation Related

* Measuring the Evolution of a Scientific Field through Citation Frames

a large scale of corpus of citation functions. 134,127 citations over 20,000 papers from nearly 40 years of work. https://github.com/davidjurgens/citation-function
differences in a paper's citation framing have a significant impact on future scientific uptake. Six classes:Background, Motivation, Uses, Extension, Comparison/Contrast, Future

* GRAPH ATTENTION NETWORKS

* metapath2vec: Scalable Representation Learning for Heterogeneous Networks

Data: AMiner Computer Science (CS) dataset , the Database and Infor- mation Systems (DBIS) dataset https://ericdongyx.github.io/metapath2vec/m2v.html

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

DeepWalk: Online Learning of Social Representations

Distributed representations of words and phrases and their compositionality

Efficient Estimation of Word Representations in Vector Space

Text Generatation

* Challenges in Data-to-Document Generation

* Operations Guided Neural Networks for High Fidelity Data-to-Text Generation

* Data-to-Text Generation with Content Selection and Planning

* Survey of the state of the art in natural language generation: core tasks, applications and evaluation (2018)

* Neural symbolic machines: learning semantic parsers on freebase with weak supervision (2017)

* what to talk about and how? selective generation using lstms with coarse-to-fine alignment (2016)

* Choosing words in computer-generated weather forecasts (2005)

* Story Generation from Sequence of Independent Short Descriptions

* LearningNeuralTemplatesforTextGeneration

* http://nlp.seas.harvard.edu/papers/

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

Hierarchical photo-scene encoder for album storytelling

[Generative Adversarial Network for Abstrative Summarization]

[A Deep Reinforcement Learning for Summarization]

Reading Comprehension

* A Survey of Question Answering for Math and Science Problem

Question Generation and Analysis

* automatic question generation using relative pronouns and adverbs

* [What Makes Reading Comprehension Questions easier]

* Systematic Error Analysis of the Stanford Question Answering Dataset

* Comparative Analysis of Neural QA models on SQuAD

* Difficulty Controllable Question Generation for Reading Comprehension