Corpus ID: 231846816

A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems

@article{Zadrozny2021ANO,
  title={A Note on Argumentative Topology: Circularity and Syllogisms as Unsolved Problems},
  author={Wlodek Zadrozny},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.03874}
}
In the last couple of years there were a few attempts to apply topological data analysis to text, and in particular to natural language inference. A recent work by Tymochko et al. suggests the possibility of capturing ‘the notion of logical shape in text,’ using ‘topological delay embeddings,’ a technique derived from dynamical systems, applied to word embeddings. In this note we reconstruct their argument and show, using several old and new examples, that the problem of connecting logic… Expand

Figures from this paper

References

SHOWING 1-10 OF 13 REFERENCES
Argumentative Topology: Finding Loop(holes) in Logic
Advances in natural language processing have resulted in increased capabilities with respect to multiple tasks. One of the possible causes of the observed performance gains is the introduction ofExpand
Topological Data Analysis for Discourse Semantics?
TLDR
It is shown that topological information, extracted from the relationships between sentences can be used in inference, namely it can be applied to the very difficult legal entailment given in the COLIEE 2018 data set. Expand
Movie Genre Detection Using Topological Data Analysis
We show that by applying discourse features derived through topological data analysis (TDA), namely homological persistence, we can improve classification results on the task of movie genreExpand
A Novel Method of Extracting Topological Features from Word Embeddings
TLDR
A novel algorithm to extract topological features from word embedding representation of text that can be used for text classification is introduced and may outperform conventional text mining features. Expand
Distributed Representations of Words and Phrases and their Compositionality
TLDR
This paper presents a simple method for finding phrases in text, and shows that learning good vector representations for millions of phrases is possible and describes a simple alternative to the hierarchical softmax called negative sampling. Expand
Topological Signature of 19th Century Novelists: Persistent Homology in Text Mining
TLDR
A novel approach that hires TDA in text processing in order to capture and use the topology of different same-type entities in textual documents to reveal some additive information regarding the document that is not reflected in any other features from conventional text processing methods. Expand
GloVe: Global Vectors for Word Representation
TLDR
A new global logbilinear regression model that combines the advantages of the two major model families in the literature: global matrix factorization and local context window methods and produces a vector space with meaningful substructure. Expand
Topological Data Analysis in Text Classification: Extracting Features with Additive Information
TLDR
This paper examines two different methods of extraction of topological features from text, using as the underlying representations of words the two most popular methods, namely word embeddings and TF-IDF vectors. Expand
Detecting strange attractors in turbulence
...
1
2
...