29 citations
4 papers
Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection
Hsiu-Wei Yang, Abhinav Agrawal
Accurate Named Entity Recognition (NER) is crucial for various information retrieval tasks in industry. However, despite significant progress in traditional NER methods, the extrac…
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication
Liye Fu, Benjamin Newman, Maurice Jakesch +1
Traditionally, writing assistance systems have focused on short or even single-word suggestions. Recently, large language models like GPT-3 have made it possible to generate signif…
Named Entity Recognition in the Legal Domain using a Pointer Generator Network
Stavroula Skylaki, Ali Oskooei, Omar Bari +2
Named Entity Recognition (NER) is the task of identifying and classifying named entities in unstructured text. In the legal domain, named entities of interest may include the case…
Data Sets: Word Embeddings Learned from Tweets and General Data
Quanzhi Li, Sameena Shah, Xiaomo Liu +1
A word embedding is a low-dimensional, dense and real- valued vector representation of a word. Word embeddings have been used in many NLP tasks. They are usually gener- ated from a…