PhD Seminar • Artificial Intelligence • Error Detection to Improve Grammar Error Correction ModelsExport this event to calendar

Wednesday, October 19, 2022 — 11:00 AM to 12:00 PM EDT

Please note: This PhD seminar will take place online.

Ankit Vadehra, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Pascal Poupart, Olga Vechtomova

The task of Grammar Error Correction (GEC) entails designing a system that is capable of performing text improvement and correcting semantic/syntax inconsistencies in a text span (sentence), while grammar error detection (GED) is used to classify whether a sentence is correct or not.

In this work, I evaluate and explore the utilization of a GED module to assist the task of GEC. The state-of-the-art GEC models are designed using a translation (sequence generation) or edit (classification) based objective. The sequence generation models rely on the use of large amounts of pseudo-data for training while the edit-based models rely on specific transformation labels. I evaluate the performance of GED assisted GEC approach on both edit-based and sequence generation models. To aid our task of comparing performance of different GEC models, I also introduce a GEC specific evaluation metric called “usefulness” that can act as a good estimator of how helpful a GEC model is for the end-user.


To join this PhD seminar on Zoom, please go to https://vectorinstitute.zoom.us/j/85778076236?pwd=bUFqUWJUVjEwZ0hZcHdpd1NOU3ZKQT09.

Location 
Online PhD seminar
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
Event tags 

S M T W T F S
27
28
29
30
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
  1. 2024 (98)
    1. April (21)
    2. March (27)
    3. February (25)
    4. January (25)
  2. 2023 (296)
    1. December (20)
    2. November (28)
    3. October (15)
    4. September (25)
    5. August (30)
    6. July (30)
    7. June (22)
    8. May (23)
    9. April (32)
    10. March (31)
    11. February (18)
    12. January (22)
  3. 2022 (245)
  4. 2021 (210)
  5. 2020 (217)
  6. 2019 (255)
  7. 2018 (217)
  8. 2017 (36)
  9. 2016 (21)
  10. 2015 (36)
  11. 2014 (33)
  12. 2013 (23)
  13. 2012 (4)
  14. 2011 (1)
  15. 2010 (1)
  16. 2009 (1)
  17. 2008 (1)