Get the free NiCT at TREC 2010: Related Entity Finding - trec nist

Nice at TREE 2010: Related Entity Finding Young Wu, Choir Horn, Hisashi Kauai Spoken Language Communication Group, MASTER Project National Institute of Information and Communications Technology (Nice)

As a second part we propose the TREE 2010 Entity Ranking module which allows the ranking of a related entity as a function of the length of a related entity. The final module will be used in the related entity finding of the National Singing Day, April 28, 2010. Keywords TREE 2010, NE Extraction, NE Ranking, Related Entity Finding. Introduction The TREE 2010 project began in 2005, a project aimed towards understanding different entity extraction techniques. TREE stands for Tree Extraction, Rotation, and Representation, and is a research project under the umbrella of Project NE. Since September 1, 2005, we held three events. The first event was held between September 1 and September 15 and featured two talks on related entity extraction techniques. On the first day, we had a session of about 30 speakers discussing entity extraction approaches. The second day we held a workshop with about 40 people and two presentations (Na name et al. 2005; Kanji et al. 2005). The third day's event held the opening session on related entity extraction in the form of speaker presentations and a discussion session. The topics covered in each of these three events are well known and well discussed in related entity finding literature. Thus, in this paper we will only focus on one topic, which is related entity finding and ranking by length measures using NE, which was presented at TREE 2010. In this paper we focus on a single algorithm using a two-stage ranking technique called NE Ranking, which we will show is a fast algorithm for discovering related entities. The first stage of the process we are considering is extracting entities (represented as trees) related to a particular entity (represented as nodes), and ranking them as the tree grows or a new node is added to the tree. The second stage is extracting shorter entities from each tree representing a particular entity, and calculating the average value of each of these shorter entities. The third stage is returning a ranking of all the shorter entities of a given entity relative to the original entity. The final process of the NE related entity ranking, the TREE 2010 Entity Ranking module, will also be discussed separately in another paper. As our focus is on the NE algorithm, we will only focus on two aspects of the algorithm: (1) what we call the NE Extraction Technique, which describes how we extract related entities, (2) how we rank related entities by the length of the related entity.

For pdfFiller’s FAQs

How do I complete nict at trec 2010 online?

pdfFiller has made it simple to fill out and eSign nict at trec 2010. The application has capabilities that allow you to modify and rearrange PDF content, add fillable fields, and eSign the document. Begin a free trial to discover all of the features of pdfFiller, the best document editing solution.

How do I edit nict at trec 2010 online?

pdfFiller allows you to edit not only the content of your files, but also the quantity and sequence of the pages. Upload your nict at trec 2010 to the editor and make adjustments in a matter of seconds. Text in PDFs may be blacked out, typed in, and erased using the editor. You may also include photos, sticky notes, and text boxes, among other things.

How can I edit nict at trec 2010 on a smartphone?

You can easily do so with pdfFiller's apps for iOS and Android devices, which can be found at the Apple Store and the Google Play Store, respectively. You can use them to fill out PDFs. We have a website where you can get the app, but you can also get it there. When you install the app, log in, and start editing nict at trec 2010, you can start right away.