Dependency-Based Construction of Semantic Space Models
Traditionally, vector-based semantic space models use word co-occurrence counts from large corpora to represent lexical meaning. In this article we present a novel framework for...
Publications
4 shownDon’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
We introduce “extreme summarization”, a new single-document summarization task which does not favor extractive strategies and calls for an abstractive modeling approach. The ide...
Text Summarization with Pretrained Encoders
Yang Liu, Mirella Lapata. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language P...
Composition in Distributional Models of Semantics
Abstract Vector‐based models of word meaning have become increasingly popular in cognitive science. The appeal of these models lies in their ability to represent meaning simply ...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 4,323
- Institution
- University of Edinburgh
External Links
Identifiers
- ORCID
- 0000-0002-2107-1516
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.