Presentation is loading. Please wait.

Presentation is loading. Please wait.

Curriculum Project for Information Extraction. Task definitions Task 1: Entity detection and recognition Task 2: Relation detection and recognition Both.

Similar presentations


Presentation on theme: "Curriculum Project for Information Extraction. Task definitions Task 1: Entity detection and recognition Task 2: Relation detection and recognition Both."— Presentation transcript:

1 Curriculum Project for Information Extraction

2 Task definitions Task 1: Entity detection and recognition Task 2: Relation detection and recognition Both of the tasks are based on ACE projects.

3 Task definitions (EDR) Task 1: Entity detection and recognition The Entity Detection and Recognition task (EDR) requires that certain specified types of entities that are mentioned in the source language data be detected and that selected information about these entities be recognized and merged into a unified representation for each detected entity.

4 Task definitions (EDR) Subtypes in the table are for reference only

5 Task definitions (RDR) Task 2: Relation detection and recognition The Relation Detection and Recognition task (RDR) requires that certain specified types of relations that are mentioned in the source language data be detected and that selected information about these relations be recognized and merged into a unified representation for each detected relation.

6 Task definitions (RDR) A relation is a relation between two entities, which are called the relation arguments. Some relations are symmetric, meaning that the ordering of the two entities does not matter (e.g., “partner”). But for asymmetric relations the order does matter (e.g., “subsidiary”) and for these relations the entity arguments must be assigned the correct argument role.

7 Task definitions (RDR) (Subtypes in the table are for reference only)

8 Task definitions ACE website: http://www.nist.gov/speech/tests/ace/ http://projects.ldc.upenn.edu/ace/ For more details: Curriculum Project for Information Extraction.doc

9 Team organization A student can accomplish the task alone. But we encourage students to organize their teams towards a common goal.

10 Team organization A team has its name and leader. The team can be formed with 2-4 members. Since task 2 is based on task1, teams working on task 2 will get a higher score and must be composed of at least 3 members. The leader must be responsible for the work arrangement and project quality.

11 Team organization The member selection should meet the combination validity (that is, the remainders of their student numbers' last two digits divided by the number of members of the team must be different). Each member should focus on different tasks and study the corresponding topics intensively.

12 Document Registration Form 1)Team name: 2)Team members: Leader: Student No. Email: Member1: Student No. Email: Member2: Student No. Email: Member3: Student No. Email: 3)Tasks: (EDR/RDR) 4)Language: (Chinese/English) 5)Implementation Schedule:

13 Document Mid-term Research Report 1) Preliminary research 2) Preliminary system architecture 3) Preliminary system implementation method 4) Conclusion & references Project Report 1) System architecture 2) System implementation method 3) Contributions 4) Conclusion & references 5) Everything else worth mentioning

14 Document DocumentDeadline Registration formSep.19 Mid-term research reportOct.18 Project report, presentation, and source code16 th week

15 Demo Workshop The workshop will be held in the 17 th week. You will be required to make a presentation to show us what you have done and we will evaluate your project.

16 Evaluation Total (70%)  Presentation (9%)  Implementation (40%) Performance(22%) Algorithm (11%) Interface (4%) Stability(3%)  Source Code (7%)  Document (14%)

17 Assignments Deliver assignments to: sjtu_ie@yahoo.com.cn Files should be named as: student number+name+(X).pdf X is the serial number of the assignment.

18 An Example Final project report by team1 last year

19 Thank you!


Download ppt "Curriculum Project for Information Extraction. Task definitions Task 1: Entity detection and recognition Task 2: Relation detection and recognition Both."

Similar presentations


Ads by Google