Производительность задачи

An important question in the evaluation of Natu- ral Language Generation systems concerns the re- lationship between textual characteristics and task performance. If the results of task-based evalua- tion can …...

In the present work we raise the hypothesis that eye-movements when reading texts reveal task performance, as measured by the level of understanding of the reader. With the objective of …...

We introduce a new language learning setting relevant to building adaptive nat- ural language interfaces. It is inspired by Wittgenstein’s language games: a hu- man wishes to accomplish some task …...

AbstractSpeech directed to children differs from adult-directed speech in linguistic aspects such as repetition, word choice, and sentence length, as well as in aspects of the speech signal itself, such …...

For domain-specific NLP tasks, applying word embeddings trained on general cor- pora is not optimal. Meanwhile, training domain-specific word representations poses challenges to dataset construction and embed- ding evaluation. In …...

We present a simplified, task-agnostic multi- modal pre-training approach that can accept either video or text input, or both for a va- riety of end tasks. Existing pre-training are task-specific …...

AbstractWe focus on creating agents that act in alignment with socially beneficial norms and values in interactive narratives or text-based games—environments wherein an agent perceives and interacts with a world …...

AbstractTo develop a dialogue system that can build common ground with users, the process of building common ground through dialogue needs to be clarified. However, the studies on the process …...

AbstractPre-trained language models encode undesirable social biases, which are further exacerbated in downstream use. To this end, we propose MABEL (a Method for Attenuating Gender Bias using Entailment Labels), an …...

AbstractAs multimodal learning finds applications in a wide variety of high-stakes societal tasks, investigating their robustness becomes important. Existing work has focused on understanding the robustness of vision-and-language models to …...