4 |
A surprisal--duration trade-off across and within the world's languages ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
What About the Precedent: An Information-Theoretic Analysis of Common Law ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
What About the Precedent: An Information-Theoretic Analysis of Common Law
|
|
|
|
In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Synthetic Textual Features for the Large-Scale Detection of Basic-level Categories in English and Mandarin ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Proceedings of the 17th European Chapter of the Association for Computational Linguistics ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Metaphor Detection Using Context and Concreteness
|
|
|
|
In: Proceedings of the Second Workshop on Figurative Language Processing (2020)
|
|
BASE
|
|
Show details
|
|
10 |
Variable typing: Assigning meaning to variables in mathematical text
|
|
Stathopoulos, YA; Baker, Simon; Rei, Marek; Teufel, Simone. - : Association for Computational Linguistics, 2018. : https://aclanthology.org/volumes/N18-1/, 2018. : NAACL HLT 2018 - 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference, 2018
|
|
Abstract:
Information about the meaning of mathematical variables in text is useful in NLP/IR tasks such as symbol disambiguation, topic modeling and mathematical information retrieval (MIR). We introduce variable typing, the task of assigning one mathematical type (multi-word technical terms referring to mathematical concepts) to each variable in a sentence of mathematical text. As part of this work, we also introduce a new annotated data set composed of 33,524 data points extracted from scientific documents published on arXiv. Our intrinsic evaluation demonstrates that our data set is sufficient to successfully train and evaluate current classifiers from three different model architectures. The best performing model is evaluated on an extrinsic task: MIR, by producing a typed formula index. Our results show that the best performing MIR models make use of our typed index, compared to a formula index only containing raw symbols, thereby demonstrating the usefulness of variable typing.
|
|
URL: https://www.repository.cam.ac.uk/handle/1810/283479 https://doi.org/10.17863/CAM.30845
|
|
BASE
|
|
Hide details
|
|
12 |
Unsupervised Timeline Generation for Wikipedia History Articles ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Improving argument overlap for proposition-based summarisation ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Predicting the impact of scientific concepts using full‐text features
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Unsupervised Timeline Generation for Wikipedia History Articles
|
|
Bauer, Sandro; Teufel, Simone. - : Association for Computational Linguistics, 2016. : https://aclanthology.org/volumes/D16-1/, 2016. : Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
|
|
BASE
|
|
Show details
|
|
16 |
Improving argument overlap for proposition-based summarisation
|
|
Fang, Y; Teufel, Simone. - : Association for Computational Linguistics, 2016. : http://aclanthology.info/papers/P16-2078/improving-argument-overlap-for-proposition-based-summarisation, 2016. : 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers, 2016
|
|
BASE
|
|
Show details
|
|
17 |
Identifying Problem Statements in Scientific Text
|
|
Heffernan, Kevin; Teufel, Simone. - : University of Potsdam, 2016. : http://www.ling.uni-potsdam.de/comma2016/, 2016. : Workshop on Foundations of the Language of Argumentation (in conjunction with COMMA), 2016
|
|
BASE
|
|
Show details
|
|
18 |
A Proposition-based Abstractive Summarizer
|
|
Fang, Y; Zhu, H; Muszynska, E. - : International Committee on Computational Linguistics, 2016. : https://aclanthology.org/volumes/C16-1/, 2016. : Proceedings of COLING 2016, 2016
|
|
BASE
|
|
Show details
|
|
20 |
MEAD - A Platform for Multidocument Multilingual Text Summarization
|
|
|
|
BASE
|
|
Show details
|
|
|
|