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RmrsDesign
- parsing/underspecification
- generation
- integration with shallow systems
- shallow inference/IE
- inference
- syntax, composition
- multilingual harmonization
- transfer
- anaphora
- cross-linguistic similarity
- paraphrase
- robustness, underspecifiability
- predicate names
- stability, documentation (core phenomena)
- abstract predicates
- decomposition
- near-equivalences
- clean IE
- sense mapping
- `real' documentation
- naming conventions for unknown word predicates
- proper names
When we remove pronoun_q_rel, we run into the problem that the tree gets smaller, and the labels of the pronoun relation have to get identified with something. This was troubling for quite a while until we convinced ourselves that modified pronouns are always pseudopartitives.
Pronouns don't ever get quantifiers, and share their labels with the verbal projection they combine with ("You who brought laptops probably have the right idea." "You with laptops must leave now."). Modified pronouns ("You who brought laptops") involve a pseudopartitive construction which introduces both a new variable and a quantifier for that variable.
Proper names can go without quantifiers, but might get them when they are overt ("Every Kim I've met"). "John in Paris" doesn't need a quantifier.
In languages with pro-drop (of various kinds), dropped arguments often fill the role of unstressed pronouns in a language like English (used for reference to discourse entities currently in focus). But dropped arguments can also have other uses (e.g., like indefinite null instantiation in English). The question is what would break if we didn't put in any ep for these dropped arguments.
Raises questions about the notion of characteristic variables/eps: Every ep has an ARG0 and every non-u index is the ARG0 of exactly one ep (with special exceptions). The rmrs matching code uses this notion, and drops those variables that can't be grounded in an ep for which they are the characteristic variable. The notion of characteristic variable is also relevant to dependency extraction code and potentially to filtering lexical edges based on information from other lexical edges in the gender.
In terms of the model theory, both sleep(e,u) and sleep(e,x) are fine, but the lack of any characteristic ep affects the complexity of tasks such as deciding the mutual satisfiability of two rmrs.
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