• No results found

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

N/A
N/A
Info
Download
Protected

Academic year: 2020

Share "Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning"

Copied!
11
0
0

Loading.... (view fulltext now)

Download now ( 11 Page )

Full text

Loading

Figure

Figure 1: Our deep reinforcement learning frame-work aims at dynamically recognizing false posi-tive samples, and moving them from the positiveset to the negative set during distant supervision.
Figure 2: The proposed policy-based reinforcement learning framework. The agent tries to remove thewrong-labeled sentences from the distantly-supervised positive dataset P ori
Table 2:Comparison of F1 scores amongthree cases:the relation classifier is trainedwiththeoriginaldataset,theredistributeddataset generated by the pre-trained agent, andthe redistributed dataset generated by our RLagentrespectively.Thenameofrelationtypes are abbreviated: /peo/per/pob represents/people/person/place of birth
Table 3: Comparison of AUC values between pre-vious studies and our RL method, and the p-valueof t-test.
+2

References

Download now ( PDF - 11 Page - 446.33 KB )

Related documents

Status of LLRRA-21 and Simulation of Apollo Behavior

The typical observations of the strength of the returns address the behavior during quasi-equilibrium conditions; that is, the changes in the solar illumination and thus the

Is Fiscal Policy Alone Enough for Growth ? A Simulation Analysis for Bolivia

It is in this context that this study examines the impact of fiscal policy on output, consumption, investment and foreign trade using a dynamic stochastic general equilibrium DSGE

Spring 2016 Addendum To the CSUSM Catalog

Spring 2016 Catalog Addendum 36 CSUSM The Core (17 units) – Certificate of Advanced Study in Core Business Knowledge.. The Core is a multi-disciplinary graduate 600-level set

Developing Writing Skill Through Journals

This research was aimed at developing the use of journals can develop the ability of the eleventh grade students at SMA Negeri 1 Sojol in writing Recount text. It was

Exploring factors that prevent non-compliance with Basic Conditions of Employment Act; Sectoral Determination 9 : the case of Sunflower retail store, Western Cape

The purpose of this interview is to get your view regarding the reasons that result to non – compliance state of compliance with the conditions of employment in this company and

Trajectories to community engagement: understanding older people’s experiences of engagement with online and local communities

Our research suggests that a better understanding of the four catalysts identified (family, roles, loss, spaces and places) and older people’s digital trajectories will

Master s STI GDWP. Authors: Mark Baggett, Jim Horwath, Submitted: June 6, 2010

During analysis of threats associated with integration of a new technology like the iPhone, the team uncovered default settings in our Microsoft Exchange ActiveSync environment

ESUKOM: Smartphone Security for Enterprise

The ESUKOM approach fo- cuses on the integration of available and widely deployed security measures (both commercial and open source) based upon the Trusted Computing Group’s