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Post questions here for this week's oritenting readings: Veitch, Victor, Dhanya Sridhar & David M. Blei. 2020. “Adapting Text Embeddings for Causal Inference.” Proceedings of the 36th Conference on Un…
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I'm seeking some advice on managing BERTopic models for efficient topic clustering.
I've utilised BERTopic to cluster approximately 13,000 data which is three months data, resulting in around 130 …
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`ERROR: Exception in ASGI application
.......
research_result = await researcher.conduct_research()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/philipp/Library/…
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Some coordination between building the UI and the NLQ service might be handy.
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## Summary:
Message passing and feature aggregation are effective techniques for improving the quality of topic clusters in a graph-based topic modeling system. Message passing involves propagating …
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# Title
> Evolution of word Embedding in NLP
## Description
> Modeling natural language is a really complex problem because natural language doesn’t follow any mathematical construct.
It is ver…
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Hu et al. (2019)'s paper is summarised in #35 . Their code is [here](https://github.com/iris2hu/diachronic-sense-modeling).
@kasparvonbeelen started implementing their method in #18
Currently n…
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**Description**
There are some sus. behaviors observed from I vector, correlation distances are not matching and meaningful mathematical interval is too small (0.2-0.3). What is the reason behind thi…
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[Class `ProteinEmbedding`](https://github.com/scikit-bio/scikit-bio/blob/545c9859635a5b8514bd9fd599475717c533f108/skbio/embedding/_protein.py#L29-L121) implements a data structure for the storage of p…
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[The paper format]
Paper title:
Author list:
Paper link:
Code link:
[The dataset format]
Dataset title:
Dataset link:
Paper link [optional]: