Very basic question

[Marketa PS]

Dear all, 

I am new to using Inception, and I don't know everything about its functionalities. I apologize for my very basic question. 

What we want to do in our project is quite simple: tag ritual actions in 2 layers: relationships and entities.

For example:

"You should consume bread". 

Relationship layer:

You-consume -> relationship called agency (actor does action)

consume-bread -> relationship called patiency (action is done to object)

Entity layer

you - > entity called practitioner

consume -> entity  called action (consume)

bread -> entity called food

My question is this: If I upload 100 texts and I want to see the relationship between bread-consume, how to I do this? Right now, I have created annotations, but I don't know how to make use of them across texts... Right now, my annotations are not connected to the Knowledge base layer, and I wonder if that is necessary. 

If you search in the demo for "CoMaF and Mageia", you will see two texts that I annotated. 

Many thanks!

Markéta

[Richard Eckart de Castilho]

Hi Markéta,

I've had a brief look at the "CoMaF and Mageia" on demo.

I have to be honest, I don't understand the annotations scheme quite well.
You have quite a few different features on both the your span and your relation
layers but most of the annotations only have a single feature actually set
and often that feature value is set to the annotated text. E.g. you annotate
the word "agarwood" with an "Entity" and set the feature "Incense" to "agarwood".
Have you considered annotating the word "agarwood" just with "Entity" and setting
e.g. a "label" feature of Entity to "Incense" instead?

Similar for relations. I would guess a Relation layer with a single feature "label"
that indicates the kind of relation between the two linked entities might suffice?

Regarding your question:

Do you imagine uploading 100 texts and then annotating those as well and finally
you would like to get an idea e.g. how often a certain type of relation exists
between certain entities? In that case, the "Explorer" view might help you, although
with the current annotation schema design, it would seem a bit tricky to extract
useful statistics.

Or are you asking because you would like INCEpTION to use the annotations you
already made to automatically generate similar annotation on the remaining 100
texts? INCEpTION has a few built-in recommenders for spans that you might use,
but two texts will not provide sufficient annotation examples for those and the
tasks may be a bit complex for them the built-in recommenders. Also, we only have
a very very basic string-matching relation recommender built-in and that's
experimental and not enabled on the demo machine. Also, it would only kick in
after you have already annotated the entities. So while you could use INCEpTION
to annotate your texts manually and possibly with some help from at least some
span recommenders, INCEpTION can't just auto-annotate your 100 texts based on
a few examples.

So for the moment, I would propose you try creating a project using the
"Basic annotation (span / relation) template and see if you can get by just
using the single simple "label" feature defined by those. That project also
already comes with a "Generic span recommender" enabled. You can add a second
one with layer "Span", feature "Label" and type "Multi-token sequence classifier".

I hope that helps. If not, maybe it helps getting to more questions :)

Cheers,

-- Richard

[Marketa PS]

Dear Richard, 

many thanks for your kind reply. I apologize again, I am completely new to this!

I have now created a new project (CoMaF and Mageia 2) as you recommended, using the Basic annotation (span / relation) template and I added the recommender as suggested. 

I see now that what you propose is much better than what I had. 

Regarding your questions: I did not expect Inception to do automatic tagging for us; I didn't even know much about the recommenders, but already in tagging these two texts, I see that they make the work much faster! We want to use it to tag potentially thousands of texts, so we can see cross-cultural similarities between rituals (for example, in which cultures do people bind amulets on their arms? When is wine drunk, and when is it poured on a surface?); a few experts would do the tagging manually. 

I have a few further questions: 

- For the case that the same entity appears multiple times in a text, I created a chain layer. But I am not really sure if that is useful for my purposes? For instance, I tagged "amulet" and "it" (which refers to it) as amulet, which I think suffices for my purposes. What would be the benefit of the chain layer? 

- Could you please help me with the formulation of the search query in the search function in annotation? I would like to look for, for instance, "patiency" label within "Relation" layer with "amulet" as the target. In the screenshot, in the relation that I highlighted, the target is "it" and not "amulet". Would the search be able to identify the "it" as "amulet"? Or is this what the chain layer (which I have also created) is for?

I think these questions suffice for now. Many thanks again!

Markéta

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[Richard Eckart de Castilho]

Hi,

> Regarding your questions: I did not expect Inception to do automatic tagging for us; I didn't even know much about the recommenders, but already in tagging these two texts, I see that they make the work much faster! We want to use it to tag potentially thousands of texts, so we can see cross-cultural similarities between rituals (for example, in which cultures do people bind amulets on their arms? When is wine drunk, and when is it poured on a surface?); a few experts would do the tagging manually.

Nice. Now with the scheme you now have, you can also build a nice overview of the relations using the "Explorer".