Michael Strube

Graph-based Coherence Modeling For Assessing Readability

2015

Readability depends on many factors ranging from shallow features like word length to semantic ones like coherence. We introduce novel graph-based coherence features based on frequent subgraphs and compare their ability to assess the readability …

Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach

2021 · arXiv (Cornell University)

Learning faithful graph representations as sets of vertex embeddings has become a fundamental intermediary step in a wide range of machine learning applications. We propose the systematic use of symmetric spaces in representation learning, a …

Topical Coherence for Graph-based Extractive Summarization

2015

We present an approach for extractive single-document summarization. Our ap-proach is based on a weighted graphical representation of documents obtained by topic modeling. We optimize importance, coherence and non-redundancy simulta-neously using ILP. We compare ROUGE …

BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

2017 · arXiv (Cornell University)

We present BPEmb, a collection of pre-trained subword unit embeddings in 275 languages, based on Byte-Pair Encoding (BPE). In an evaluation using fine-grained entity typing as testbed, BPEmb performs competitively, and for some languages bet- …