Removing ambiguity when analyzing a sentence with a word having multiple meaningsA language processing device includes first analysis unit that subjects a natural language sentence containing a polysemic word and other words to a predetermined analysis and outputs a plurality of analysis results for the...
We notice the habit in the story’s first scene, a flashback. George is travelling in the car with her mother, and her little brother is asleep in the back. She is looking up the lyrics to ‘Let’s Twist Again’, and they annoy her in multiple ways. (Smith doesn’t use quotation...
One way to solve this is using Hierarchical Structured Network. First, we split the document into several sentences. Then we learn each sentence representation from word representation with an encoder such as CNN or RNN. Afterwards, we use another encoder to adaptively encode semantics of sentences...
2. The most common testing point in Part V involves word choice. You can identify these items because the four answer choices look alike or have similar meanings. Use the context of the sentence to help you choose the answer, and look for any grammar clues that help you eliminate distractor...
You can use any ordinary online paraphrasing tool, which simply swaps words with alternate words using automatic paraphrasing software. It creates meaningless sentences because each word can have multiple meanings. Our AI-based paraphrasing tool will paraphrase your sentence precisely, so it generates qu...
constitute the sentence; but it is still clear that the sentence meaning is not the totality of the meanings of the component words. Because the syntactical structure of the sentence also plays a role in determining the sentence meaning. That is to say, the meaning of a sentence is a ...
a detailed study to determine the most explanatory psychological factors present in fairness assessments. The paper then details two approaches to digitise these psychological factors using word embeddings and ML, one without training, and for comparison, one with training, as will be detailed. We ...
Based on these two vectors they predicted MEG activity before, during and after the presentation of each word using a linear regression. Their results show that before the presentation of a word in a sentence context, the context representation predicts MEG activity. Shortly after the presentation ...
According to two-stage theories, the sentence processor initially adopts a single analysis using only a restricted range of information. In contrast, constraint-based theories claim that multiple analyses of a syntactic ambiguity are activated in parallel and that the processor immediately uses all ...
By using imperative and interrogative sentences like ‘Close the window!’ and ‘Is the window closed?’ we don't describe an actual state of affairs, but rather make a command or ask a question in order to influence the behavior of our interlocutors. But, as pointed out by Austin, even...