Neighborhood Matching Network for Entity Alignment

Structural heterogeneity between knowledge graphs is an outstanding challenge for entity alignment. This paper presents Neighborhood Matching Network (NMN), a novel entity alignment framework for tackling the structural heterogeneity challenge. NMN estimates the similarities between entities to capture both the topological structure and the neighborhood difference. It provides two innovative components for better learning representations for entity alignment. It first uses a novel graph sampling method to distill a discriminative neighborhood for each entity. It then adopts a cross-graph neighborhood matching module to jointly encode the neighborhood difference for a given entity pair. Such strategies allow NMN to effectively construct matching-oriented entity representations while ignoring noisy neighbors that have a negative impact on the alignment task. Extensive experiments performed on three entity alignment datasets show that NMN can well estimate the neighborhood similarity in more tough cases and significantly outperforms 12 previous state-of-the-art methods.Comment: 11 pages, accepted by ACL 202

Flux Reversal Machine Design

Flux reversal permanent magnet machines (FRPMMs) have a simple reluctance rotor and a stator with armature windings and permanent magnets (PMs). Due to the high torque density and high efficiency of FRPMMs, they have been widely used in many applications such as electric vehicle, wind power generation, etc. However, the general design method of FRPMMs has not been established in books. Therefore, this chapter will focus on introducing an analytical design method, which allows for fast design of FRPMMs. First of all, the analytical sizing equations are deduced based on a magneto motive force (MMF)-permeance model. After that, the effects of some key performances including average torque, pulsating torque, power factor, and PM demagnetization are analyzed. Moreover, the feasible slot-pole combinations are summarized and the corresponding winding type of each combination is recommended in order to maximize the output torque. Besides, the detailed geometric design of stator and rotor are presented. Finally, a case study is presented to help readers better understand the introduced design methodology

Jiu-conditionals in Mandarin Chinese: thoughts on a uniform pragmatic analysis of Mandarin conditional constructions

Conditionals in Mandarin can be expressed by conjunctive sentences with no overt conditional connective (Type 1: P, Q) or with a conditional connective (CC) in the antecedent (Type 2: CC P, Q) and/or a conditional particle (CP) in the consequent (Type 3: (CC) P, CP Q). In this paper, we focus on jiu-conditionals (Type 3) without CCs. We assume that jiu in Mandarin is ambiguous between jiu 1 (unstressed, nonexclusive, left associating) and jiu 2 (stressed, exclusive, right associating), and that jiu-conditionals involve jiu 1 without exclusive force. We argue against a conditional conjunction analysis of jiu-conditionals and for a scalar analysis of jiu in conditionals as well as in temporal or spatial use. Furthermore, we present what we believe is the first uniform pragmatic account of Mandarin conditional constructions across Types 1–3: it is the subjective (non)veridicality property of the first clause P that determines the reading of the sentence P, Q. If P is entailed or presupposed, we get a conjunctive reading; if P is not entailed or presupposed, that is, if it is nonveridical, we get a conditional reading. Devices triggering the conditional reading include CCs or negative polarity items in the antecedent, as well as the broader discourse context or world knowledge.Deutsche ForschungsgemeinschaftPeer Reviewe