DeepAI
Log In Sign Up

Bird's Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach

05/06/2021
by   Yifan Hou, et al.
0

NLP has a rich history of representing our prior understanding of language in the form of graphs. Recent work on analyzing contextualized text representations has focused on hand-designed probe models to understand how and to what extent do these representations encode a particular linguistic phenomenon. However, due to the inter-dependence of various phenomena and randomness of training probe models, detecting how these representations encode the rich information in these linguistic graphs remains a challenging problem. In this paper, we propose a new information-theoretic probe, Bird's Eye, which is a fairly simple probe method for detecting if and how these representations encode the information in these linguistic graphs. Instead of using classifier performance, our probe takes an information-theoretic view of probing and estimates the mutual information between the linguistic graph embedded in a continuous space and the contextualized word representations. Furthermore, we also propose an approach to use our probe to investigate localized linguistic information in the linguistic graphs using perturbation analysis. We call this probing setup Worm's Eye. Using these probes, we analyze BERT models on their ability to encode a syntactic and a semantic graph structure, and find that these models encode to some degree both syntactic as well as semantic information; albeit syntactic information to a greater extent.

READ FULL TEXT
04/07/2020

Information-Theoretic Probing for Linguistic Structure

The success of neural networks on a diverse set of NLP tasks has led res...
03/27/2020

Information-Theoretic Probing with Minimum Description Length

To measure how well pretrained representations encode some linguistic pr...
09/15/2020

An information theoretic view on selecting linguistic probes

There is increasing interest in assessing the linguistic knowledge encod...
06/04/2021

Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing

Analysing whether neural language models encode linguistic information h...
10/06/2020

Intrinsic Probing through Dimension Selection

Most modern NLP systems make use of pre-trained contextual representatio...
11/11/2022

The Architectural Bottleneck Principle

In this paper, we seek to measure how much information a component in a ...