Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators

10/22/2018
by   Aldrian Obaja Muis, et al.
0

In this paper, we propose a new model that is capable of recognizing overlapping mentions. We introduce a novel notion of mention separators that can be effectively used to capture how mentions overlap with one another. On top of a novel multigraph representation that we introduce, we show that efficient and exact inference can still be performed. We present some theoretical analysis on the differences between our model and a recently proposed model for recognizing overlapping mentions, and discuss the possible implications of the differences. Through extensive empirical analysis on standard datasets, we demonstrate the effectiveness of our approach.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/03/2018

Neural Segmental Hypergraphs for Overlapping Mention Recognition

In this work, we propose a novel segmental hypergraph representation to ...
research
11/02/2021

Overlapping and nonoverlapping models

Consider a directed network with K_r row communities and K_c column comm...
research
07/03/2021

A Data-Driven Method for Recognizing Automated Negotiation Strategies

Understanding an opponent agent helps in negotiating with it. Existing w...
research
03/23/2022

Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation

Given the hyper-spectral imaging unique potentials in grasping the polym...
research
09/03/2019

Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities

In medical documents, it is possible that an entity of interest not only...
research
03/30/2023

ACM with Overlapping Partitions: Implementation and Periodicity Analysis

The Arnold Cat Map (ACM) is a popular chaotic map used in image encrypti...
research
10/19/2018

Learning to Recognize Discontiguous Entities

This paper focuses on the study of recognizing discontiguous entities. M...

Please sign up or login with your details

Forgot password? Click here to reset