Titlebook: Natural Language Processing and Chinese Computing; 12th National CCF Co Fei Liu,Nan Duan,Yu Hong Conference proceedings 2023 The Editor(s)

NEG

Enhanced CGSN System for Machine Reading Comprehensionne Reading Comprehension. This task requires participants to develop a reading comprehension model based on state-of-the-art Natural Language Processing (NLP) and deep learning techniques to extract word sequences or sentences from the given scientific texts as answers to relevant questions. In resp

ARM

Scientific Reading Comprehension with?Sentences Selection and?Rankingthods trend to answer the question using Transformer-based models. However, in the scientific domain, the original text is longer than the general domain. In this paper, we proposed a model that consists of a content retrieval module and a pre-trained model module. The content retrieval module finds

delusion

盤旋

Presbycusis

Solving Math Word Problem with?Problem Type Classificationng MWPs with two types of solvers: tree-based solver and large language model (LLM) solver. However, these approaches always solve MWPs by a single solver, which will bring the following problems: (1) Single type of solver is hard to solve all types of MWPs well. (2) A single solver will result in p

我還要背著他

Consistent Solutions for?Optimizing Search Space of?Beam Searchiety of reasoning tasks. Still, due to the demand for low costs, research on the upper bound of small language models in reasoning tasks and the limitation of the knowledge they can accommodate has drawn attention. In line with previous work on math word problems, we discover that models that only l