반응형 분류 전체보기599 [2022-09-10] 오늘의 자연어처리 AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog We introduce AARGH, an end-to-end task-oriented dialog system combining retrieval and generative approaches in a single model, aiming at improving dialog management and lexical diversity of outputs. The model features a new response selection method based on an action-aware training objective and a simplified single-encoder retrieva.. 2022. 9. 10. [2022-09-09] 오늘의 자연어처리 Depression Symptoms Modelling from Social Media Text: An Active Learning Approach A fundamental component of user-level social media language based clinical depression modelling is depression symptoms detection (DSD). Unfortunately, there does not exist any DSD dataset that reflects both the clinical insights and the distribution of depression symptoms from the samples of self-disclosed depresse.. 2022. 9. 9. [2022-09-08] 오늘의 자연어처리 Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios Social media data has emerged as a useful source of timely information about real-world crisis events. One of the main tasks related to the use of social media for disaster management is the automatic identification of crisis-related messages. Most of the studies on this topic have focused on the analysis of data for.. 2022. 9. 8. [2022-09-07] 오늘의 자연어처리 Reference Resolution and Context Change in Multimodal Situated Dialogue for Exploring Data Visualizations Reference resolution, which aims to identify entities being referred to by a speaker, is more complex in real world settings: new referents may be created by processes the agents engage in and/or be salient only because they belong to the shared physical setting. Our focus is on resolving re.. 2022. 9. 7. 이전 1 ··· 128 129 130 131 132 133 134 ··· 150 다음 반응형