Category: 05-TextSynthesis

duq-TextSynthesis

I went to a coffee shop downtown the other day and was in a corner by myself.

After reading a few pages of a book I noticed a boy come in alone and sit down in a chair at the table next to me.

He opened a pad of paper and started writing.

Every so often he glanced over his shoulder to make sure nobody was coming.

He was in deep thought.

Then he put his pen down and a moment later got up and left.

A short time later a woman entered the coffee shop alone.

She sat down at a table across from me.

She put her coat down on a nearby chair and leaned back in the chair.

I thought, “Aw, that’s nice,” and continued reading my book.

When it seemed like she’d waited a long time for her drink she left the shop again and started walking down the street.

I thought, “Hmm … interesting.”

Then a man sat down at my table and started reading.

After a few minutes of quiet conversation I thought, “That is a lot of coffee.”

He leaned back in the chair and closed his eyes.

I thought, “He’s napping,

 

 

A Duck

Wall to wall carpeting

The duckling was sitting on the roof of the duck house, watching the birds fly by. As the sun started to set, the ducklings could see the carpet in the distance, stretching all the way to the horizon. They knew that they would have to find a way to get over the wall to get to the carpet, and they were excited to do so.

 

I find it interesting how these two different tools approach the same idea differently. One just asks for themes while the other asks for the start of a story. I wonder if both algorithms use the given information in the same way.

Dr. Mario – TextSynthesis

“We’re trying to get all the central parties to agree on the relative rankings, then the ratings will be assessed by the independent people,” Botolo said, referring to an expert commission.

Botolo said at least three other contenders will also vie for the top job.
Ethiopia has won global praise for its democratic credentials in recent years, but the ruling coalition has faced mounting dissent in the countryside, as many young people complain of political and economic marginalization.
Prime Minister Hailemariam Desalegn has been in power since 2012, but appears to be close to resignation after the Tigrayan People’s Liberation Front (TPLF) party, his longtime ally, split over the summer.
TPLF is the largest of the coalition parties. Hailemariam resigned in February citing what he called threats to his life and a struggle to keep the ruling coalition united.
– Growing ethnic violence –
The mass protests that initially erupted over land rights and politics are now focused on wider grievances.
Ethiopia has nearly 100 ethnic groups, and recent ethnic violence in
various parts of
– this was from InferKit
That was kinda scuffed, “-Growing ethnic violence-“. I was expecting something much more light hearted.
Big Chungus was a huge, green, sausage-like creature that lived in the swamp. He loved to suck the toes of small animals, and he would often kidnap them and bring them back to his house to eat.
– this was from Narrative Device
Now this is what I was expecting! If you couldn’t guess my themes were Big Chungus and sucking toes, I think the tool did a wonderful job

Sneeze—TextSynthesis

Narrative Device

“The old woman in the store was giving out fortunes when she caught sight of me. “You’re going to be rich,” she said. “You’ll find a lot of money.” But I didn’t believe her. I only had a few dollars. “You’ll get a headache,” she said again. I was too tired to argue. So I bought a fortune cookie and went to bed.”

Narrative Device takes in two themes and generates a whole paragraph out of them. I thought that this was really easy to use since it only needed the user to come up with two subjects, but sometimes the outcome would exclude one of them. When I used headache and fortune cookie, the device would only sometimes give me a paragraph that was related to headaches. Besides that, generating text on the same themes creates remarkably different storylines, which is impressive. I think that this device creates a semi-logical plot with a much more cohesive story compared to InferKit.

InferKit Tool

“Upon opening the door, Dorthy found that she was not in her room. She had transported to the land of ice and was about to slip and fall.
Determined to walk on, she insisted that she could handle it. The Mice that were near her allowed her to use their icy paths to reach her destination. They were also helpful in avoiding new dangers of their own.”

The InferKit Tool has a different dynamic from the Narrative Device. It requires the user to give it a starting phrase or sentence or sentences to build the story. I think that this gives the user more control, which can be nice, but providing fewer words results in a random story. When I experimented with giving it a phrase, the story went to a different subject all together. Providing more words makes the story a lot more cohesive, but then that requires the user to work more.

 

Solar-TextSynthesis

Blobfish, Diner: For the last few weeks, the blobfish have been congregating at the diner. They sit in a circle around the fryer, cooking their food. Some of them stare at the fryer with envy, while others watch them with skepticism. But everyone seems to be contentedly slurping their food.

There was a parasite in the rainforest, that looked like it was made out of a bunch of humans. The forest had believed that the parasites were killing the trees, but it turned out that the trees had been going crazy, having some strange dreams. Their dreams were filled with skulls and bones and other things that shouldn’t exist. That was probably why the forest had sent the giant trees to find these humans.

Reflection: It was very humorous to experiment with random words and themes. The stories that are generated often go against my expectations and play around with different texts to create imaginative and surprising stories.