Abstract: The disclosure provides methods for treating pulmonary fibrotic disorders, including idiopathic pulmonary fibrosis, by administering to patients therapeutically effective doses and dosing regimens of an anti-OSM receptor ? antibody, such as vixarelimab, or anti-OSM receptor ? antibody, such as vixarelimab, in combination with an anti-IL-6 antibody or an anti-IL-6 receptor agonis, such as tocilizumab.

Abstract: The present disclosure relates to methods of administering Compound I for treating fibrotic disorders, inflammatory disorders or autoimmune disorders.

Abstract: This disclosure relates to methods, uses, and compositions (e.g., articles of manufacture and kits) comprising an anti-OSMR? antibody, such as vixarelimab, for the treatment of inflammatory gastrointestinal diseases associated with the oncostatin M (OSM) pathway (e.g., inflammatory bowel disease (IBD) (e.g., ulcerative colitis (UC (e.g., moderate to severe UC)) and Crohn's disease (CD)).

Abstract: The present disclosure relates to methods of administering Compound I for treating fibrotic disorders, inflammatory disorders or autoimmune disorders.

Abstract: A method, computer system, and a computer program product for training a machine learning model are provided. A machine learning model may be split into a lower portion and an upper portion. The lower portion includes at least one layer. The upper portion includes at least one layer. The lower portion may be pre-trained via a generator task and via alternating between inputting of monolingual text data and multilingual text data. The upper portion may be pre-trained via a discriminator task. The pre-trained lower portion may be joined to the pre-trained upper portion to form a trained multilingual machine learning model.

Abstract: A system for classifying a language sample intent by receiving a language sample including a set of features, identifying language sample features, determining a tokenization score for the language sample according to the language sample features, eliminating duplicate features according to the tokenization score, determining a term frequency (tf) according to the identified features and the tokenization score, determining an inverse document frequency (idf) according to the identified features and the tokenization score, and generating a term frequency-inverse document frequency (tf-idf) matrix for the identified features.

Abstract: The present disclosure relates to methods of administering Compound I for treating fibrotic disorders, inflammatory disorders or autoimmune disorders.

Abstract: A method, computer system, and computer program product for multi-lingual chatlog training are provided. The embodiment may include receiving, by a processor, a plurality of data related to conversational data in multiple languages. The embodiment may also include assigning an intent label to each conversational data. The embodiment may further include assigning a language label to each conversational data. The embodiment may also include paring the plurality of the data related to the conversational data according to the intent label and the language label. The embodiment may further include training a machine learning model using a multi-lingual and multi-intent conversational data pairing. The embodiment may also include training the machine learning model using a single language and multi-intent conversational data paring.

Abstract: A method includes receiving, by a question-answer system, a question in a first language and the question in a second language and predicting, by the question-answer system, a first answer to the question in the first language and a second answer to the question in the second language. The method also includes generating, by the question-answer system, a first vector representing the question in the first language and a second vector representing the question in the second language and adjusting the question-answer system based on the first and second answers and the first and second vectors such that when the question-answer system subsequently generates a third vector representing the question in the first language and a fourth vector representing the question in the second language, a distance between the third and fourth vectors is less than a distance between the first and second vectors.

Abstract: A system for classifying a language sample intent by receiving a language sample including a set of features, identifying language sample features, determining a tokenization score for the language sample according to the language sample features, eliminating duplicate features according to the tokenization score, determining a term frequency (tf) according to the identified features and the tokenization score, determining an inverse document frequency (idf) according to the identified features and the tokenization score, and generating a term frequency-inverse document frequency (tf-idf) matrix for the identified features.

Abstract: A method, computer system, and computer program product for multi-lingual chatlog training are provided. The embodiment may include receiving, by a processor, a plurality of data related to conversational data in multiple languages. The embodiment may also include assigning an intent label to each conversational data. The embodiment may further include assigning a language label to each conversational data. The embodiment may also include paring the plurality of the data related to the conversational data according to the intent label and the language label. The embodiment may further include training a machine learning model using a multi-lingual and multi-intent conversational data pairing. The embodiment may also include training the machine learning model using a single language and multi-intent conversational data paring.

Abstract: The present disclosure relates to methods of administering Compound I for treating fibrotic disorders, inflammatory disorders or autoimmune disorders.

Abstract: A method includes receiving, by a question-answer system, a question in a first language and the question in a second language and predicting, by the question-answer system, a first answer to the question in the first language and a second answer to the question in the second language. The method also includes generating, by the question-answer system, a first vector representing the question in the first language and a second vector representing the question in the second language and adjusting the question-answer system based on the first and second answers and the first and second vectors such that when the question-answer system subsequently generates a third vector representing the question in the first language and a fourth vector representing the question in the second language, a distance between the third and fourth vectors is less than a distance between the first and second vectors.

Abstract: The present disclosure relates to methods of administering Compound I for treating fibrotic disorders, inflammatory disorders or autoimmune disorders.

Abstract: A service apparatus and method for providing a deferred message, and a storage medium. The service method for providing a deferred message comprises: receiving a message parameter sent by a first client and to be forwarded to a second client (S1); determining whether a user associated with the second client is online (S2); if the user associated with the second client is not online, determining that the message parameter to be forwarded is a message parameter of a deferred message, and saving the message parameter into a database of a server (S3); and when receiving an online prompt of the user associated with the second client, delivering the message parameter to the second client (S4). The method can significantly reduce the network traffic and occupation of the storage space.

Abstract: The present invention relates to a system for effectively identifying pressing line of vehicle and giving an early prompt, comprising an image acquisition module, a lane line extraction module, a distance calculation module and an early-warning judgment module. The image acquisition module acquires front images through an optical camera. The lane line extraction module processes the front images to extract lane lines in each of the images. The distance calculation module calculates a distance between the optical camera and each of left and right lane lines, and calculates the distance between the vehicle and each of the left and right lane lines through the position of the camera in the vehicle and vehicle dimensions. Then, the early-warning judgment module judges whether or not to give a driver an early-warning prompt.

Abstract: Systems and methods for generating answers to questions. One method includes receiving a question having question terms; identifying candidate answers to the question having answer terms; searching data sources to determine passages including either a question term or an answer term in the candidate answer; scoring the passages for candidate answers using a scoring mechanism, the scoring mechanism computing a first degree of relevance of the passage to the question terms, computing a second degree of relevance of the passage to the answer terms of one of the candidate answers, and determining a score for the passage by combining the first degree of relevance and the second degree of relevance; ranking candidate answers to the question based on the scores associated with the scoring each of the passages for each of the candidate answers; and providing an answer to the question based on ranking of the candidate answers.

Abstract: The present disclosure relates to methods of administering Compound I for treating fibrotic disorders, inflammatory disorders or autoimmune disorders.

Abstract: A service apparatus and method for providing a deferred message, and a storage medium. The service method for providing a deferred message comprises: receiving a message parameter sent by a first client and to be forwarded to a second client (S1); determining whether a user associated with the second client is online (S2); if the user associated with the second client is not online, determining that the message parameter to be forwarded is a message parameter of a deferred message, and saving the message parameter into a database of a server (S3); and when receiving an online prompt of the user associated with the second client, delivering the message parameter to the second client (S4). The method can significantly reduce the network traffic and occupation of the storage space.