lexical note hlt · adv-nlp

Overview

Overview

  1. Midterm exam (13th february)
  2. Submissions
    • Feature-based implementation
    • Transformer-based implementation
  3. Graded individual take-home exam

Literature

Resits

  • If you pass both assignments, but fail the exam, you can resit the exam.
  • If you resit assignment 1 OR assignment 2, submit the missed assignment (capped grade at 6/10) at take home exam deadline.
  • If you fail the midterm, you resit on March 6th.

Fail criteria:

  • If you fail assignment 1 and assignment 2, you fail the course.
  • If you fail the same assignment/exam twice, you fail the course.

Attendence

Mandatory attendance. You can miss up to 2 lectures.

Midterm

  1. Basics of SRL
  2. Differences between PropBank vs Universal PropBank
  3. Basics of dependency and constituency parsing
  4. Essentials of ML

SRL

NLP task, closely related with Linguistic Analysis. Integral part of Machine Understanding.

SRL involves detecting events (predicates) and their participants (arguments).

SRL is informed by syntax, verb alternations,

Beth Levin’s verb classes https://www.bol.com/nl/nl/p/english-verb-classes-and-alternations/1001004000643535/

The Case for Case

Case in Dutch is naamval.

Surface-marked cases.

What if cases exist whether or not you see them? What can we do with this? What he defined is that each NP associated with an event/verb could be assigned a semantic role. He give a set of roles to make sense of languaeg and disambiguate.

If you have some way of generalizing over what language can do and what is possible.

Alternations

Collative: (aim) at something. For example, ‘to shoot at X’.

SRL and NLP/Lexical Resources

PropBank

Developed to build a task for NLP. Kind of based on Dowty’s Proto roles. Consistent enough for generalizations but relatively course-grained. Around 20 roles.

Problems with PropBank

  • All arguments have notes.

Universal PropBank: FrameNet (Charles Fillmore):