Factoid Question Answering with Distant Supervision [PDF]
Automatic question answering (QA), which can greatly facilitate the access to information, is an important task in artificial intelligence. Recent years have witnessed the development of QA methods based on deep learning.
Hongzhi Zhang +5 more
doaj +5 more sources
Distant supervision for medical concept normalization. [PDF]
We consider the task of Medical Concept Normalization (MCN) which aims to map informal medical phrases such as "loosing weight" to formal medical concepts, such as "Weight loss". Deep learning models have shown high performance across various MCN datasets containing small number of target concepts along with adequate number of training examples per ...
Pattisapu N +4 more
europepmc +3 more sources
Chemical-induced disease relation extraction via attention-based distant supervision [PDF]
Background Automatically understanding chemical-disease relations (CDRs) is crucial in various areas of biomedical research and health care. Supervised machine learning provides a feasible solution to automatically extract relations between biomedical ...
Jinghang Gu +3 more
doaj +2 more sources
Distant Supervision for Entity Linking [PDF]
Entity linking is an indispensable operation of populating knowledge repositories for information extraction. It studies on aligning a textual entity mention to its corresponding disambiguated entry in a knowledge repository.
Fan, Miao +2 more
core +2 more sources
FGSI: distant supervision for relation extraction method based on fine-grained semantic information [PDF]
Relation extraction is one of the important steps in building a knowledge graph. Its main objective is to extract semantic relationships from identified entity pairs in sentences, playing a crucial role in semantic understanding and knowledge graph ...
Chenghong Sun +5 more
doaj +2 more sources
Distant Supervision for Extractive Question Summarization [PDF]
Questions are often lengthy and difficult to understand because they tend to contain peripheral information. Previous work relies on costly human-annotated data or question-title pairs. In this work, we propose a distant supervision framework that can train a question summarizer without annotation costs or question-title pairs, where sentences are ...
Ishigaki T +4 more
europepmc +3 more sources
Information Extraction Using Distant Supervision and Semantic Similarities
Information extraction is one of the main research tasks in natural language processing and text mining that extracts useful information from unstructured sentences. Information extraction techniques include named entity recognition, relation extraction,
PARK, Y., KANG, S., SEO, J.
doaj +3 more sources
Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts [PDF]
In recent years, relation extraction on unstructured texts has become an important task in medical research. However, relation extraction requires a large amount of labeled corpus, manually annotating sequences is time consuming and expensive. Therefore,
Qi Ye +4 more
doaj +2 more sources
PELESent: Cross-domain polarity classification using distant supervision [PDF]
The enormous amount of texts published daily by Internet users has fostered the development of methods to analyze this content in several natural language processing areas, such as sentiment analysis.
Bertaglia, Thales F. C. +5 more
core +2 more sources
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT [PDF]
Motivation Protein-protein interactions (PPIs) are critical to normal cellular function and are related to many disease pathways. A range of protein functions are mediated and regulated by protein interactions through post-translational modifications ...
Aparna Elangovan +4 more
doaj +2 more sources

