Comparison of Syntactic Parsers on Biomedical Texts

08/17/2020
by   Maria Biryukov, et al.
0

Syntactic parsing is an important step in the automated text analysis which aims at information extraction. Quality of the syntactic parsing determines to a large extent the recall and precision of the text mining results. In this paper we evaluate the performance of several popular syntactic parsers in application to the biomedical text mining.

READ FULL TEXT
research
08/11/2018

From POS tagging to dependency parsing for biomedical event extraction

Given the importance of relation or event extraction from biomedical res...
research
05/15/2023

Comparing Variation in Tokenizer Outputs Using a Series of Problematic and Challenging Biomedical Sentences

Background Objective: Biomedical text data are increasingly availabl...
research
06/12/2019

A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications

We present a simple text mining method that is easy to implement, requir...
research
04/17/2019

Neural Constituency Parsing of Speech Transcripts

This paper studies the performance of a neural self-attentive parser on ...
research
10/06/2020

Towards Coalgebras in Stylometry

The syntactic behaviour of texts can highly vary depending on their cont...
research
10/11/2016

Keystroke dynamics as signal for shallow syntactic parsing

Keystroke dynamics have been extensively used in psycholinguistic and wr...
research
03/15/2019

Content Differences in Syntactic and Semantic Representations

Syntactic analysis plays an important role in semantic parsing, but the ...

Please sign up or login with your details

Forgot password? Click here to reset