I Know What You Want: Semantic Learning for Text Comprehension

09/08/2018
by   Zhuosheng Zhang, et al.
0

Who did what to whom is a major focus in natural language understanding, which is right the aim of semantic role labeling (SRL). Although SRL is naturally essential to text comprehension tasks, it is surprisingly ignored in previous work. This paper thus makes the first attempt to let SRL enhance text comprehension and inference through specifying verbal arguments and their corresponding semantic roles. In terms of deep learning models, our embeddings are enhanced by semantic role labels for more fine-grained semantics. We show that the salient labels can be conveniently added to existing models and significantly improve deep learning models in challenging text comprehension tasks. Extensive experiments on benchmark machine reading comprehension and inference datasets verify that the proposed semantic learning helps our system reach new state-of-the-art.

READ FULL TEXT
research
01/01/2023

Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension

Machine Reading Comprehension has become one of the most advanced and po...
research
09/05/2019

Semantics-aware BERT for Language Understanding

The latest work on language representations carefully integrates context...
research
11/06/2016

Words or Characters? Fine-grained Gating for Reading Comprehension

Previous work combines word-level and character-level representations us...
research
09/14/2021

An MRC Framework for Semantic Role Labeling

Semantic Role Labeling (SRL) aims at recognizing the predicate-argument ...
research
05/11/2016

Machine Comprehension Based on Learning to Rank

Machine comprehension plays an essential role in NLP and has been widely...
research
03/29/2016

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

Understanding unstructured text is a major goal within natural language ...
research
09/09/2019

Picture What you Read

Visualization refers to our ability to create an image in our head based...

Please sign up or login with your details

Forgot password? Click here to reset