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Hi there,
I have this idea for a peer-to-peer network construction technique and a lookup function that would enhance content-addressing by mapping data to high-dimensional vectors instead of purel…
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**Title of the talk**
Introduction to word embeddings
**Description**
In this talk, we will cover the following:-
- Statistical methods of converting text into a numeric representation.
- …
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Thanks for this projects it looks very promising.
I'm trying to understand the purpose of semantic space. What is it? How is it built?
Thanks!
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Proposal for a significant change in inner workings of pattern matcher and related subsystems.
Proposal: introduce a special binary true/false value on all atoms.
Why?
* Using a binary 0/1 valu…
linas updated
4 years ago
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**Title**
[Neuroquery](https://neuroquery.saclay.inria.fr/query?text=familiar+face+recognition): mapping text to brain regions.
**Presentor and Affiliation**
Jérôme Dockès, INRIA (@jeromedock…
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In your paper "Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics", you said "BREDS also tries to identify the passive voice using part-of-speech (PoS) tags ,..., i…
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According to the paper: Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics, it looks like only positive seeds are used in algorithm. Would you mind explaining more …
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arXiv论文跟踪
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Currently, pandas implements `expect_column_values_to_be_unique` as a `column_map_expectation`, but as observed in #290, it should be a `column_aggregate_expectation` since uniqueness isn't a per-row …