• No results found

Query focused Multi Document Summarization: Combining a Topic Model with Graph based Semi supervised Learning

N/A
N/A
Protected

Academic year: 2020

Share "Query focused Multi Document Summarization: Combining a Topic Model with Graph based Semi supervised Learning"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 2: Graphical model for S-LDA
Figure 7: ROUGE score via (1)(2) topic number and (3)(4) parameter a on TAC2008.
Table 2: Performance comparison with baselines

References

Related documents

Nevertheless, the expression results in TH-positive neurons in the LC in the adult brain showed that the regulatory regions allowing expression of the MAOA gene in these cells,

On that basis it seems a significant finding that increased CO 2 tension in the ambient water evokes a breathing response, whereas hypoxic water has no effect on the

Importance of 360-Degrees Appraisal Tool in Organizational Performance Management The employees were asked to state the importance of 360-degrees as an appraisal tool in

A distribution’s frequence function is always considered to be the probabilistic measure that determines the number of events that occur within a cell or “interval” for a

In this paper, we prove two theorems which provide conditions under which a lin- ear functional di ff erential equation has a unique absolutely continuous solution passing through

CT: Computed tomography; DILI: Drug induced liver injury; DVT: Deep vein thrombosis; NHPs: Natural Health Products; WD: Wilson ’ s

In the bridging process of liturgy, new perspectives should be created for people with colonised and decolonised attributes so that they can experience something of the compassion

From Structural analysis, Total deformation for material no.2 Finally the results for conventional material forged steel, optimized metal matrix composite material and