반응형 자연어처리572 [2022-09-12] 오늘의 자연어처리 IDIAPers @ Causal News Corpus 2022: Extracting Cause-Effect-Signal Triplets via Pre-trained Autoregressive Language Model In this paper, we describe our shared task submissions for Subtask 2 in CASE-2022, Event Causality Identification with Casual News Corpus. The challenge focused on the automatic detection of all cause-effect-signal spans present in the sentence from news-media. We detect caus.. 2022. 9. 12. [2022-09-11] 오늘의 자연어처리 Visual Grounding of Inter-lingual Word-Embeddings Visual grounding of Language aims at enriching textual representations of language with multiple sources of visual knowledge such as images and videos. Although visual grounding is an area of intense research, inter-lingual aspects of visual grounding have not received much attention. The present study investigates the inter-lingual visual ground.. 2022. 9. 11. [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. 이전 1 ··· 126 127 128 129 130 131 132 ··· 143 다음 반응형