Story Comprehension for Predicting What Happens Next
نویسندگان
چکیده
Automatic story comprehension is a fundamental challenge in Natural Language Understanding, and can enable computers to learn about social norms, human behavior and commonsense. In this paper, we present a story comprehension model that explores three distinct semantic aspects: (i) the sequence of events described in the story, (ii) its emotional trajectory, and (iii) its plot consistency. We judge the model’s understanding of real-world stories by inquiring if, like humans, it can develop an expectation of what will happen next in a given story. Specifically, we use it to predict the correct ending of a given short story from possible alternatives. The model uses a hidden variable to weigh the semantic aspects in the context of the story. Our experiments demonstrate the potential of our approach to characterize these semantic aspects, and the strength of the hidden variable based approach. The model outperforms the stateof-the-art approaches and achieves best results on a publicly available dataset.
منابع مشابه
Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next
The main intrinsic evaluation for vector space representation has been focused on textual similarity, where the task is to predict how semantically similar two words or sentences are. We propose a novel framework, Story Cloze Evaluator, for evaluating vector representations which goes beyond textual similarity and captures the notion of predicting what should happen next given a context. This e...
متن کاملThe Comparative Effects of Using Electronic Short Story Books and Tradi-tional Printed Texts on EFL Learners’ Reading Comprehension
The purpose of this study was to investigate the comparative effect of using electronic short story books and traditional printed texts on EFL learners’ reading comprehension. For that purpose, ninety female learners ranging in age between fifteen and thirty five sat for the language proficiency test (PET, 2009) as the test of homogeneity and consequently sixty students were selected based on t...
متن کاملCan Automated Questions Scaffold Children's Reading Comprehension?
Can automatically generated questions scaffold reading comprehension? We automated three kinds of multiple-choice questions in children’s assisted reading: 1. Whquestions: ask a generically worded What/Where/When question. 2. Sentence prediction: ask which of three sentences belongs next. 3. Cloze: ask which of four words best fills in a blank in the next sentence. A within-subject experiment i...
متن کاملA Rule-Based Question Answering System For Reading Comprehension Tests
We have developed a rule-based system, Quarc, that can reada short story and find the sentence in the story that best answers a given question. Quarc uses heuristic rules that look for lexical and semantic clues in the question and the story. We have tested Quarc on reading comprehension tests typically given to children in grades 3-6. Overall, Quarc found the correct sentence 40% of the time, ...
متن کاملOn Evaluating Story Grammars
In their recent article entitled “An Evaluation of Story Grammars,” Black and Wilensky (1979) offer a critique of the recent work on this topic. They argue that story grammars (or story schemata as I prefer to call them) are not a productive approach to the study of story understanding, and they offer three main lines of argumentation. First, they argue that story grammars are notformully adequ...
متن کامل