In inductive power transfer (IPT) systems, air gap variations can cause fluctuations in the parameters of loosely coupled transformers (LCT), potentially compromising resonant tank performance, output stability and efficiency. To address this issue, paper introduces a novel multi-loop control strategy for single-stage power-source IPT system. Specifically, proposed system replaces traditional compensation capacitors with switch-controlled (SCCs) on both sides incorporates semi-active...

Large language models (LLMs) have shown impressive multilingual capabilities through pretraining on diverse corpora. While these show strong reasoning abilities, their performance varies significantly across languages due to uneven training data distribution. Existing approaches using machine translation, and extensive cross-lingual tuning face scalability challenges often fail capture nuanced processes languages. In this paper, we introduce AdaCoT (Adaptive Chain-of-Thought), a framework...

Scope detection is a key task in information extraction. This paper proposes new approach for tree kernel-based scope by using the structured syntactic parse information. In addition, we have explored way of selecting compatible features different part-of-speech cues. Experiments on BioScope corpus show that both constituent and dependency advantage capturing potential relationships between cues their scopes. Compared with state art systems, our system achieves substantial improvement.

The current aspect extraction methods suffer from boundary errors. In general, these errors lead to a relatively minor difference between the extracted aspects and ground-truth. However, they hurt performance severely. this paper, we propose utilize pointer network for repositioning boundaries. Recycling mechanism is used, which enables training data be collected without manual intervention. We conduct experiments on benchmark datasets SE14 of laptop SE14-16 restaurant. Experimental results...

In field of teaching, true/false questioning is an important educational method for assessing students’ general understanding learning materials. Manually creating such questions requires extensive human effort and expert knowledge. Question Generation (QG) technique offers the possibility to automatically generate a large number questions. However, there limited work on automatic question generation due lack training data difficulty finding question-worthy content. this paper, we propose...

Bowei Zou, Qiaoming Zhu, Guodong Zhou. Proceedings of the 53rd Annual Meeting Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

For inductive power transfer (IPT) systems, load conditions and coupling coefficient are subject to change, affect system efficiency. Aiming at addressing this issue, paper proposes a two-loop control scheme based on single-stage power-source IPT converter. The proposed converter utilizes series compensation structure the primary side employs switched-controlled capacitor (SCC) in with semi-active rectifier (SAR) secondary side. SCC SAR cooperate via an inner loop emulate null impedance...

Negative expressions are common in natural language text and play a critical role information extraction. However, the performances of current systems far from satisfaction, largely due to its focus on intrasentence failure consider inter-sentence information. In this paper, we propose graph model enrich features with both lexical topic perspectives. Evaluation *SEM 2012 shared task corpus indicates usefulness contextual discourse negation identification justifies effectiveness our capturing...

Abstract This paper studied the roadmap of hydrogen energy and fuel cell vehicle (FCV) industry in US, Japan EU, summarized development goals, promotion paths plans developed countries. On this basis, prospect FCV China is further analysed based on resource endowment current situation China. Finally, by comparing characteristics various countries, deficiencies are found, suggestions put forward for

As an essential component of task-oriented dialogue systems, Dialogue State Tracking (DST) takes charge estimating user intentions and requests in contexts extracting substantial goals (states) from utterances to help the downstream modules determine next actions systems. For practical usages, a major challenge constructing robust DST model is process conversation with multi-domain states. However, most existing approaches trained on single domain independently, ignoring information across...

Complex question answering over knowledge base remains as a challenging task because it involves reasoning multiple pieces of information, including intermediate entities/relations and other constraints. Previous methods simplify the SPARQL query into such forms list or graph, missing constraints "filter" "order_by", present models specialized for generating those simplified from given question. We instead introduce novel approach that directly generates an executable without simplification,...

We tackle Multi-party Dialogue Reading Comprehension (abbr., MDRC). MDRC stands for an extractive reading comprehension task grounded on a batch of dialogues among multiple interlocutors. It is challenging due to the requirement understanding cross-utterance contexts and relationships in multi-turn multi-party conversation. Previous studies have made great efforts utterance profiling single interlocutor graph-based interaction modeling. The corresponding solutions contribute answer-oriented...

Longxiang Shen, Bowei Zou, Yu Hong, Guodong Zhou, Qiaoming Zhu, AiTi Aw. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint (EMNLP-IJCNLP). 2019.

This paper describes the definition and main technical characteristics of intelligent networked vehicles reviews current research situation information security at home abroad. Furthermore, it summarizes relevant significant achievements abroad analyses cases network in recent years. The attack path vulnerabilities is analyzed. According to threat onboard system function requirement vehicle system, model proposed according future networking environment, direction pointed out.

Due to the commonality in natural language, negation focus plays a critical role deep understanding of context.However, existing studies for identification major on supervised learning which is timeconsuming and expensive due manual preparation annotated corpus.To address this problem, we propose an unsupervised word-topic graph model represent measure candidates from both lexical topic perspectives.Moreover, document-sensitive biased Pag-eRank algorithm optimize ranking scores...

Conversational Question Answering (ConvQA) is required to answer the current question, conditioned on observable paragraph-level context and conversation history. Previous works have intensively studied history-dependent reasoning. They perceive absorb topic-related information of prior utterances in interactive encoding stage. It yielded significant improvement compared history-independent This paper further strengthens ConvQA encoder by establishing long-distance dependency among global...

Rumors spread rapidly through online social microblogs at a relatively low cost, causing substantial economic losses and negative consequences in our daily lives. Existing rumor detection models often neglect the underlying semantic coherence between text image components multimodal posts, as well challenges posed by incomplete modalities single modal such missing or images. This paper presents CLKD-IMRD, novel framework for Incomplete Modality Rumor Detection. CLKD-IMRD employs Contrastive...

This paper introduces the theory of algorithm results different image processing techniques in lane marking line recognition, including binarize, edge detection and extraction. Analyze compare accuracy each stages algorithms, reliability real - time performance. And then various combinations algorithms to detect lines several conditions. Finally, an ideal is proposed, which using progressive threshold method contour extraction method, tracing curve fitting method.