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- BERT (Binary ERlang Term) serialization library for PHP
A BERT (Binary ERlang Term) serialization library for PHP based on Tom Preston-Werner's Ruby implementation It can encode PHP objects into BERT format and decode BERT binaries into PHP objects See the BERT specification at bert-rpc org
- bert-php README. md at master · dhotson bert-php - GitHub
BERT (Binary ERlang Term) serialization library for PHP - bert-php README md at master · dhotson bert-php
- 知乎-基于Bert的语义检索框架 - 知乎 - 知乎专栏
知乎这篇文字的方法其实就是采用基于 Bert 的深度语义匹配模型，方式生成query和doc的embedding。 serving的时候通过 k-nearest-neighbor 的方式。 特别是对于尾部查询，这种方式大大提高了检索质量。 现有的搜索引擎一般分为三个模块 ，query 理解模块，召回模块，以及排序模块。 一般而言query理解模块包含分词，纠错，改写，重要性分析，联想等。 其实笔者认为query理解模块至少在搜索引擎中占1 2的工作量。 召回模块一般而言有两种方案一种是基于关键字检索的 bm25， tf-idf 方式，另一种就是基于向量的检索方式。 排序模块，搜索引擎一般采用 LTR 的方式进行文档最后的排序。
- BERT (language model) - Wikipedia
Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google [1][2] It learns to represent text as a sequence of vectors using self-supervised learning It uses the encoder-only transformer architecture
- Using BERT and BART for Query Suggestion - ceur-ws. org
We show that pre-trained transformer networks exhibit a very good performance for query suggestion on a large corpus of search logs, that they are more robust to noise, and have better understanding of complex queries
- BERT Model - NLP - GeeksforGeeks
BERT (Bidirectional Encoder Representations from Transformers) leverages a transformer-based neural network to understand and generate human-like language BERT employs an encoder-only architecture In the original Transformer architecture, there are both encoder and decoder modules
- php - How to pass an array within a query string? - Stack . . .
You can use http_build_query to generate a URL-encoded querystring from an array in PHP Whilst the resulting querystring will be expanded, you can decide on a unique separator you want as a parameter to the http_build_query method, so when it comes to decoding, you can check what separator was used
- BERT and SEARCH: How BERT is used to improve searching?
Search Engine will be able to understand the hidden meaning or context of the query searched by user Hence, any user can search in a way which he she feels natural or the way in which he she will ask verbally BERT will look around for each work to get the inner or hidden meaning of the query text BERT in action Example 1
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