반응형 오늘의 자연어 처리572 [2023-12-26] 오늘의 자연어처리 Computational Semantics and Evaluation Benchmark for Interrogative Sentences via Combinatory Categorial Grammar Abstract:We present a compositional semantics for various types of polar questions and wh-questions within the framework of Combinatory Categorial Grammar (CCG). To assess the explanatory power of our proposed analysis, we introduce a question-answering dataset QSEM specifically design.. 2023. 12. 26. [2023-12-25] 오늘의 자연어처리 Structured Probabilistic Coding Abstract:This paper presents a new supervised representation learning framework, namely Structured Probabilistic Coding (SPC), to learn compact and informative representations from input related to the target task. SPC is an encoder-only probabilistic coding technology with a structured regularization from the target label space. By extracting compact and informat.. 2023. 12. 25. [2023-12-24] 오늘의 자연어처리 Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural Language Abstract:In order to reduce the manual cost of designing ER models, recent approaches have been proposed to address the task of NL2ERM, i.e., automatically generating entity-relationship (ER) models from natural language (NL) utterances such as software requirements. These approaches are typ.. 2023. 12. 24. [2023-12-23] 오늘의 자연어처리 Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling Abstract:Few-shot intent classification and slot filling are important but challenging tasks due to the scarcity of finely labeled data. Therefore, current works first train a model on source domains with sufficiently labeled data, and then transfer the model to target domains where only rarely labeled da.. 2023. 12. 23. 이전 1 2 3 4 5 6 7 8 ··· 143 다음 반응형