---
title: Occurrence Statistics Of Entities on the Web
layout: page
permalink: "/projects/occurrencestats/"
---

### Objective

- To estimate the ratio of Entities in a given text corpus using maximum mean discrepancy.

- Used existing named entity disambiguators for feature extraction and libsvm for benchmarking and comparison.

- Although the experiments I performed showed that SVMs performed better than MMD for ratio estimation of entities, the seminar lead to a useful survey report of the problem of named entity disambiguation techniques and MMD.

### Results/Report

- The survey report is available on [arxiv](https://arxiv.org/abs/1605.04359).

- Results from the experiments are available [here](https://madaan.github.io/res/papers/mmdentity.pdf).



---
title: Occurrence Statistics Of Entities on the Web
layout: page
permalink: "/projects/occurrencestats/"
---

### Objective

- To estimate the ratio of Entities in a given text corpus using maximum mean discrepancy.

- Used existing named entity disambiguators for feature extraction and libsvm for benchmarking and comparison.

- Although in the experiments I did, SVM performed better than MMD for ratio estimation of entities, the seminar lead to a useful survey report of the problem of named entity disambiguation techniques and MMD.

### Results/Report

- The survey report is available on [arxiv](https://arxiv.org/abs/1605.04359).

- Results from the experiments are available [here](https://madaan.github.io/res/papers/mmdentity.pdf).

- [Project presentation](https://madaan.github.io/res/presentations/entity_statistics_aman_madaan_presentation.pdf)


Add presentation to the occ stats
Add presentation to the occ stats
