Reflection-based Word Attribute Transfer

نویسندگان

چکیده

Word embeddings, which often represent such analogic relations as king - man + woman = queen, can be used to change a word's attribute, including its gender. For transferring into queen in this analogy-based manner, we subtract difference vector based on the knowledge that is male. However, developing very costly for words and attributes. In work, propose novel method word attribute transfer reflection mappings without an analogy operation. Experimental results show our proposed attributes of given changing do not have target

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Attribute-Based MED System with Word Histograms

We used a similar system to our previous system 2010 [1], which we built for the last year competition. However, we need to cope with the notable difficulty imposed in the TRECVID 2011MED task, i.e., the set of the target event classes and the set of the training event classes are completely disjoint. Thismeans that no sample video belonging to any of the target event classes is available in th...

متن کامل

Attribute-Based Data Transfer with Filtering Scheme in Cloud Computing

Data transfer is a transmission of data over a point-to-point or point-to-multipoint communication channel. To protect the confidentiality of the transferred data, public-key cryptography has been introduced in data transfer schemes (DTSs). Data transfer is a transmission of data over a point-to-point or point-to-multipoint communication channel. To protect the confidentiality of the transferre...

متن کامل

Oblivious Transfer with Hidden Access Control from Attribute-Based Encryption

The notion of oblivious transfer with hidden access control policies (HACOT) was recently proposed by Camenisch et al. (Public-Key Cryptography 2011). This primitive allows a user to anonymously query a database where each record is protected by a hidden attribute-based access control policy. At each query, the user either learns the value of a single record if the attributes in his key satisfy...

متن کامل

Domain transfer convolutional attribute embedding

In this paper, we study the problem of transfer learning with the attribute data. In the transfer learning problem, we want to leverage the data of the auxiliary and the target domains to build an effective model for the classification problem in the target domain. Meanwhile, the attributes are naturally stable cross different domains. This strongly motives us to learn effective domain transfer...

متن کامل

Asking Friendly Strangers: Non-Semantic Attribute Transfer

Attributes can be used to recognize unseen objects from a textual description. Their learning is oftentimes accomplished with a large amount of annotations, e.g. around 160k-180k, but what happens if for a given attribute, we do not have many annotations? The standard approach would be to perform transfer learning, where we use source models trained on other attributes, to learn a separate targ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Shizen gengo shori

سال: 2021

ISSN: ['1340-7619', '2185-8314']

DOI: https://doi.org/10.5715/jnlp.28.206