A compositional view of questions
We present a research on compositional treatment of questions in neo-davidsonian event semantics style. Our work is based on (Champollion, 2011) where only declarative sentences were considered. Our research is based on complex formal examples, paving the way towards further research in this domain and further testing on real-life corpora.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Maintaining Reasoning Consistency in Compositional Visual Question Answering
A compositional question refers to a question that contains multiple visual concepts (e.g., objects, attributes, and relationships) and requires compositional reasoning to answer. Existing VQA models can answer a com…
Question AnsweringVisual Question AnsweringVisual Question Answering (VQA)Measuring Compositional Consistency for Video Question Answering
Recent video question answering benchmarks indicate that state-of-the-art models struggle to answer compositional questions. However, it remains unclear which types of compositional reasoning cause models to mispredict. …
Question AnsweringVideo Question AnsweringEfficiency-aware Answering of Compositional Questions using Answer Type Prediction
This paper investigates the problem of answering compositional factoid questions over knowledge bases (KB) under efficiency constraints. The method, called TIPI, (i) decomposes compositional questions, (ii) predicts answ…
Question AnsweringType predictionVocal Bursts Type PredictionOn Evaluating Multilingual Compositional Generalization with Translated Datasets
Compositional generalization allows efficient learning and human-like inductive biases. Since most research investigating compositional generalization in NLP is done on English, important questions remain underexplored. …
Machine TranslationSemantic ParsingTranslationMeasuring and Narrowing the Compositionality Gap in Language Models
We investigate the ability of language models to perform compositional reasoning tasks where the overall solution depends on correctly composing the answers to sub-problems. We measure how often models can correctly answ…
Question Answering