e.g., 训练CQR时,假定optimal decontextualized queries是manually rewritten queries 作者根据现有的模型弊端,提出E2E的contextualized query embeddings (CQE)框架,有4方面的贡献: 用bi-encoder,将query reformulation和dense passage retrieval两个任务整合到conversational search中,并为模型训练构造pseudo-relevance label的...
Contextualized Embeddings are embeddings such as in Transformers. Contextualized Embeddings are able to generate different vector representations for the different meanings a single word can have (this is called polysemy). For example the word "bank" has a lot of different meanings (such as financial...
We propose a new model, Contextualized Embeddings for Query Expansion (CEQE), that utilizes query-focused contextualized embedding vectors. We study the behavior of contextual representations generated for query expansion in ad-hoc document retrieval. We conduct our experiments on probabilistic retrieval ...
Unsupervised Domain Adaptation of Contextualized Embeddings forSequence LabelingXiaochuang Han and Jacob EisensteinGeorgia Institute of Technology ∗xiaochuang.han@gmail.com, me@jacob-eisenstein.comAbstractContextualized word embeddings such asELMo and BERT provide a foundation forstrong performance across a ...
(LDA) to represent the candidate phrases and the document. We introduce a scoring mechanism for the phrases using the information obtained from contextualized embeddings and the topic vectors. The salient phrases are extracted using a ranking algorithm on an undirected graph constructed for the given...
The pretraining of BERT on a very large training corpus generates contextualized embeddings that can boost the performance of models trained on smaller datasets. Inspired by BERT, we propose Med-BERT, which adapts the BERT framework originally developed for the text domain to the structured EHR ...
向量数据库简介 | ChatGPT word embeddings | 语义查询 AI产品狙击手 AI小学生,全栈中学生,互联网老兵 此前分享的ChatGPT编程相关文章和视频中,在做语义查询相关功能时用到了chroma和pinecone这些向量数据库,但并没有进一步阐述向量数据库是怎么回事,这里简单了解下。 视频主要阐述了以下几点: - 为什么需要向量… ...
Static word embeddings that represent words by a single vector cannot capture the variability of word meaning in different linguistic and extralinguistic contexts. Building on prior work on contextualized and dynamic word embeddings, we introduce dynamic contextualized word embeddings that represent words ...
The pre-training of BERT on a very large training corpus generates contextualized embeddings that can boost the performance of models trained on smaller datasets. We propose Med-BERT, which adapts the BERT framework for pre-training contextualized embedding models on structured diagnosis data from 28...
参考链接 论文链接:https://arxiv.org/pdf/1802.05365v2.pdf 代码链接:https://github.com/allenai/bilm-tf 一、模型架构:ELMo: Embeddings from Language Models 与最广泛使用的词嵌入不同,ELMo词嵌入是整个输入句子的函数。这个函数就像是一个神经网络内部状态的线性函数,该网络是一个带有字符卷积...html...