4.5.2 Regular Polysemy
All of our basic selection of studies also provides viewpoints to the concern, what exactly is an adequate computational design having regular polysemy? Specifically, we have revealed that therapy of regular polysemy with regards to from separate groups is not sufficient. Keep in mind that the newest motivation on experiments displayed in this section is actually the fresh new hypothesis one polysemous adjectives display a linguistic behavior you to participates in the basic categories mixed up in normal polysemy, for this reason producing element beliefs that will be in between the ones from the brand new basic classes (cf. Shape step 1). Hence, we had expected one to polysemous adjectives function a homogeneous band of lexical products, characterized correctly because of the simple fact that it display attributes away from for each classification to some extent. Yet not, it expectation is not borne call at the results of one’s experiments. To that value, it’s hitting one QR adjectives (polysemous between a qualitative and you will a relational learning) are give throughout the all clusters in all options. They aren’t recognized as a beneficial homogeneous classification, nor once the different how to message someone on manhunt from the remainder. Crucially, as the pointed out from inside the Section 4.2, the differences within function thinking out-of polysemous adjectives and people of your earliest groups aren’t strong enough so you can promote a great separate team.
We think that the factor in these performance would be the fact you to definitely polysemous adjectives do not in reality keeps a beneficial homogeneous, differentiated character: When you look at the certain corpus, really adjectives are used mainly in another of the sensory faculties, equal to among the first categories, and therefore the newest “hard” class with about three groups suits ideal. As an instance, new qualitative-relational adjective ironic (‘ironic’) is certainly caused by used since a qualitative adjective regarding corpus. In contrast, militar (‘military’) is generally made use of because the a good relational adjective, that will be constantly assigned to among the many relational groups during the most of the solutions. For this reason, although polysemous adjectives typically would reveal a blended choices, for each and every lexical items tends to pattern that have one of the earliest kinds. An option conceptualization out-of normal polysemy and you can experimental structure is known as to have, and this will be the topic of your 2nd point.
This new studies showed in the last area pursued several wants: to the one-hand, to test the original category proposal; on the other side, to evaluate a model of typical polysemy that treats polysemous adjectives when it comes to independent kinds. With regards to the very first goal, this new tests within this section rely on the outcomes of one’s early in the day tests, and use the opposite classification described into the Part step three.dos. The opposite classification has at the same time come supported by an excellent clustering experiment not claimed right here to possess space grounds (come across Boleda, Badia, and you may Batlle to have facts and you will conversation).
Properly, it always seems in the qualitative groups
According to the 2nd goal, we have shown that basic design is not successful in the acting typical polysemy. In addition, the study regarding element values in the last area suggests that the possible lack of profits isn’t associated with the particular method utilized in the original check out, however, into the qualities away from polysemous adjectives: the reality that one can use them mostly in another of the sensory faculties, therefore the undeniable fact that brand new function withdrawals away from “polysemous kinds” mostly convergence that have the ones from might kinds.
In the modern studies, i build a choice way of normal polysemy that is centered into angle one polysemous adjectives end up in one or more semantic class, in the construction out-of multiple-term group. A typical example of a multi-label classification task was Text message Categorization (Schapire and Musician 2000), where a file can be discussed via multiple term (age.g., Health insurance and Local), therefore it efficiently is part of one or more of your own address classes. The latest inspiration for this the newest method is the fact that polysemous adjectives exhibit properties of all kinds in it (look for Part 3.3). This new theory is the fact that research found for an effective polysemous adjective which is polysemous ranging from, say, a relational and you will good qualitative fool around with are going to be strong enough to own brand new adjective becoming assigned to both relational and qualitative kinds. Keep in mind that of the delegating this new adjective for the several groups by themselves, we create an implicit group of the adjective due to the fact polysemous. The success of the latest approach relies upon whether or not the various other senses are well enough illustrated regarding the study, and it will surely end up being specifically difficult to distinguish between appears and you can facts getting certain classification.
