-
# 🚀 Feature request
An extractive summarization pipeline similar to the one for abstractive summarization.
A central place for researchers to upload new models for others to use, without having…
-
How difficult would it be to turn your code into a word-level model? That is, to select the best words to include in the summary, instead of at the sentence level. This task would be extremely useful …
-
-
### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Automated Legal Document Summarizer
:red_circle: **Aim** : Create a model that can read and summarize…
-
## 一言でいうと
BERT(#959)を使った抽出型(Extractive)要約の研究。BERTはトークン単位で特徴を出力するが、抽出型では文単位の予測となる。このため文境界を識別するためのSegment Embeddingを入力し、境界開始のトークン表現を文表現として使用+文同士の関係を認識する層を追加し予測している
![image](https://user-images.git…
-
## 論文リンク
https://arxiv.org/abs/1909.03186
## 公開日(yyyy/mm/dd)
2019/09/07
## 概要
文章要約タスクにおいて、重要な文を抽出するステップとそれを基に抽象的な文章を生成するステップに別れた複合的な手法を用いた。
この複合的な手法自体が全く新しいというものではないが、前者のステップに二つの Bi-directio…
-
# Currently working on...
## UI implementation for viewing sources in chat
- [x] Extracting sources from RAG chain
- [x] Adding sources to the UI (references drop down menu inspiration: https://…
-
## ざっくり言うと
- documentから重要なsentenceを選ぶタスクにBERTを適用 ---> SOTA
- 文書要約タスクに合わせてBERTのモデルに変更を加えている
- extractive summarization
#### キーワード
- NLP
- document summarization
- extractive summarization
- Tra…
-
As a user, I would like to be informed about the summarization effectiveness of my chosen LLM endpoint.
I would like to be able to evaluate an endpoint against a known, tested framework, to evaluat…
-
After reading the documentation, it looks like the Extractive Summarization components only score sentences. While this is how the vast majority of extractive summarization papers work, some extractiv…