반응형 분류 전체보기599 [2023-06-05] 오늘의 자연어처리 Boosting the Performance of Transformer Architectures for Semantic Textual Similarity Semantic textual similarity is the task of estimating the similarity between the meaning of two texts. In this paper, we fine-tune transformer architectures for semantic textual similarity on the Semantic Textual Similarity Benchmark by tuning the model partially and then end-to-end. We experiment with BERT, Ro.. 2023. 6. 5. [2023-06-04] 오늘의 자연어처리 In-Context Learning User Simulators for Task-Oriented Dialog Systems This paper presents a novel application of large language models in user simulation for task-oriented dialog systems, specifically focusing on an in-context learning approach. By harnessing the power of these models, the proposed approach generates diverse utterances based on user goals and limited dialog examples. Unlike tradi.. 2023. 6. 4. [2023-06-03] 오늘의 자연어처리 In-Context Learning User Simulators for Task-Oriented Dialog Systems This paper presents a novel application of large language models in user simulation for task-oriented dialog systems, specifically focusing on an in-context learning approach. By harnessing the power of these models, the proposed approach generates diverse utterances based on user goals and limited dialog examples. Unlike tradi.. 2023. 6. 3. [2023-06-02] 오늘의 자연어처리 MedNgage: A Dataset for Understanding Engagement in Patient-Nurse Conversations Patients who effectively manage their symptoms often demonstrate higher levels of engagement in conversations and interventions with healthcare practitioners. This engagement is multifaceted, encompassing cognitive and socio-affective dimensions. Consequently, it is crucial for AI systems to understand the engagement.. 2023. 6. 2. 이전 1 ··· 54 55 56 57 58 59 60 ··· 150 다음 반응형