Titlebook: Knowledge Science, Engineering and Management; 14th International C Han Qiu,Cheng Zhang,Sun-Yuan Kung Conference proceedings 2021 Springer

女上瘾

Evaluating Dataset Creation Heuristics for Concept Detection in Web Pages Using BERTassess dataset quality, as most applications are dataset specific. In this study, we investigate and evaluate the performance of three annotation heuristics for a classification task on extracted web data using BERT. We present multiple datasets, from which the classifier shall learn to identify web

松紧带

Perceive

scrape

An Event Detection Method Combining Temporal Dimension and Position Dimensionns remarkable improvements in performance over three event detection methods called Joint Model, Globe Vector- Latent Dirichlet Allocation, and Language Independent Neural Network that do not take into account word positions and temporal information for this task. Specifically, on three datasets of

superfluous

Benjamin Mensa-Bonsu,Tao Cai,Tresor Y. Koffi,Dejiao Niu

neutral-posture

A Semantic Textual Similarity Calculation Model Based on Pre-training Modelntence search. The traditional calculation of text similarity constructed text vectors only based on TF-IDF, and used the cosine of the angle between vectors to measure the similarity between two texts. However, this method cannot solve the similar text detection task with different text representat

CYN

Representation Learning of Knowledge Graph with Semantic Vectorsigent recommendation. Representation learning, as a key issue of ., aims to vectorize entities and relations in . to reduce data sparseness and improve computational efficiency. Translation-based representation learning model shows great knowledge representation ability, but there also are limitatio

讥笑

Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategyegmentation errors, especially for Chinese RE. In this paper, an improved lattice encoding is introduced. Our structure is a variant of the flat-lattice Transformer. The lattice framework can combine character-level and word-level information to avoid segmentation errors. We optimize the position en

标准

表状态

An Automatic Method for Understanding Political Polarization Through Social Media issues, social media such as Twitter contains rich information about political polarization. In this paper, we propose an automatic method for discovering information from social media that can help people understand political polarization of the country. Previous researches have answered the “who”