LexsemMapping

Some thoughts on mapping MRSs to Wordnet sense (mainly illustrated with the ERG and PWN). Examples use a variant of the indexed MRS to save space.

Single Words

In straight forward cases like this, each open class predicate maps to a wordnet sense.

The cat_{cat_n1} ate_{eat_v1} a dog_{dog_n1}.
e3:
 _1:_the_q⟨0:3⟩[BV x6]
 x6:_cat_n_1⟨4:7⟩[]
 e3:_eat_v_1⟨8:11⟩[ARG1 x6, ARG2 x9]
 _2:_a_q⟨12:13⟩[BV x9]
 x9:_dog_n_1⟨14:18⟩[]

Mapping the predicates to lemmas gives us directly:

x6:_cat_n_1 = cat_n1
e3:_eat_v_1 = eat_v1
x9:_dog_n_1 = dog_n1

Note that quantifiers are sometimes in wordnet, sometimes not:

Each_{each_a1} cat_{cat_n1} ate_{eat_v1} a dog_{dog_n1}.
e3:
 _1:_each_q⟨0:4⟩[BV x5]
 x5:_cat_n_1⟨5:8⟩[]
 e3:_eat_v_1⟨9:12⟩[ARG1 x5, ARG2 x9]
 _2:_a_q⟨13:14⟩[BV x9]
 x9:_dog_n_1⟨15:19⟩[]

Here we also have:

_1:_each_q = each_a1

(with a non matching pos a <> q)

Proper Nouns

For proper nouns (and numbers and a few others), the predicate is an abstraction like named_rel, and the value is in the CARG:

Bast_{Bast_n1} ate_{eat_v1} a dog_{dog_n1}.
e3:
 _1:proper_q⟨0:4⟩[BV x6]
 x6:named⟨0:4⟩("Bast")[]
 e3:_eat_v_1⟨5:8⟩[ARG1 x6, ARG2 x9]
 _2:_a_q⟨9:10⟩[BV x9]
 x9:_dog_n_1⟨11:15⟩[]

We want:

x6:named = Bast_1

Decomposed nouns

Some words are given complex semantics:

A cat_{cat_n1} ate_{eat_v1} here_{here_a1}
e3:
 _1:_a_q⟨0:1⟩[BV x6]
 x6:_cat_n_1⟨2:5⟩[]
 e3:_eat_v_1⟨6:9⟩[ARG1 x6]
 e10:loc_nonsp⟨10:15⟩[ARG1 e3, ARG2 x11]
 x11:place_n⟨10:15⟩[]
 _2:def_implicit_q⟨10:15⟩[BV x11]
 e16:_here_a_1⟨10:15⟩[ARG1 x11]

here is given semantics equivalent to "in this place". Ideally, we would like a mapping such as:

e10:loc_nonsp = here_a1
x11:place_n = here_n1

with "e16:_here_a_1" unmapped. "in this place" = here_a1 and "this place" = hear_n1

There are not so many of these, it should be possible to do them with exception handling

Multiple Words

Sometimes both the ERG and PWN treat a MWE as a single concept, and then it is easy.

The cat_{cat_n1} gobbled_{gobble up_v1} a dog_{dog_n1} up_{gobble up_v1}.
e3:
 _1:_the_q⟨0:3⟩[BV x6]
 x6:_cat_n_1⟨4:7⟩[]
 e3:_gobble_v_up⟨8:15⟩[ARG1 x6, ARG2 x9]
 _2:_a_q⟨16:17⟩[BV x9]
 x9:_dog_n_1⟨18:21⟩[]

The character mapping is a bit less direct, but thfinal mapping should be just:

x6:_cat_n_1 = cat_n1
e3:_gobble_v_up = gobble_up_v1
x9:_dog_n_1 = dog_n1

PROBLEM sometimes they will disagree. Postpone mapping for now.

Compositional Compound Nouns

The cat_{cat_n1} ate_{eat_v1} a guard_{guard_n1&guard_dog_n1} dog_{dog_n1&guard_dog_n1}.
e3:
 _1:_the_q⟨0:3⟩[BV x6]
 x6:_cat_n_1⟨4:7⟩[]
 e3:_eat_v_1⟨8:11⟩[ARG1 x6, ARG2 x9]
 _2:_a_q⟨12:13⟩[BV x9]
 e15:compound⟨14:23⟩[ARG1 x9, ARG2 x14]
 _3:udef_q⟨14:19⟩[BV x14]
 x14:_guard_n_1⟨14:19⟩[]
 x9:_dog_n_1⟨20:23⟩[]

NTU WN tags both the single and MWE in this case, SemCor maps only the MWE I think we want:

x6:_cat_n_1 = cat_n1
e3:_eat_v_1 = eat_v1
x9:_dog_n_1 = guard_dog_n1
x14:_guard_n_1 = guard_n1

A guard dog is a dog, which has something to do with a guard, so everything works in the end.

One could think of something like:

x6:_cat_n_1 = cat_n1
e3:_eat_v_1 = eat_v1
x9:_dog_n_1 = dog_n1
x14:_guard_n_1 = guard_n1
e15:compound = guard_dog_n1

But this isn't quite right (works better for A&B}.

Non Compositional Compound Nouns

The cat_{cat_n1} ate_{eat_v1} a guard_{hot_dog_n1} dog_{hot_dog_n1}.
e3:
 _1:_the_q⟨0:3⟩[BV x6]
 x6:_cat_n_1⟨4:7⟩[]
 e3:_eat_v_1⟨8:11⟩[ARG1 x6, ARG2 x9]
 _2:_a_q⟨12:13⟩[BV x9]
 e14:_hot_a_1⟨14:17⟩[ARG1 x9]
 x9:_dog_n_1⟨18:21⟩[]

Here, we don't want the semantics "a dog that is hot", so:

x6:_cat_n_1 = cat_n1
e3:_eat_v_1 = eat_v1
x9:_dog_n_1 = hot_dog_n1

Ideally, the ERG should contain "hot dog" as a single entry, so that things map even better.

Many more corner cases to come :-): "Sleeping Beauty: is sleep v or n", more complex MWEs, ... .