Abstract: A hybrid entity recognition system and accompanying method identify composite entities based on machine learning. An input sentence is received and is preprocessed to remove extraneous information, perform spelling correction, and perform grammar correction to generate a cleaned input sentence. A POS tagger tags parts of speech of the cleaned input sentence. A rules based entity recognizer module identifies first level entities in the cleaned input sentence. The cleaned input sentence is converted and translated into numeric vectors. Basic and composite entities are extracted from the cleaned input sentence using the numeric vectors.

Abstract: A hybrid entity recognition system and accompanying method identify composite entities based on machine learning. An input sentence is received and is preprocessed to remove extraneous information, perform spelling correction, and perform grammar correction to generate a cleaned input sentence. A POS tagger tags parts of speech of the cleaned input sentence. A rules based entity recognizer module identifies first level entities in the cleaned input sentence. The cleaned input sentence is converted and translated into numeric vectors. Basic and composite entities are extracted from the cleaned input sentence using the numeric vectors.

Abstract: A system and method for hybrid entity recognition are disclosed. According to one embodiment, a computer-implemented process, comprises receiving an input sentence. The input sentence is preprocessed to remove extraneous information, perform spelling correction, and perform grammar correction to generate a cleaned input sentence. A POS tagger, tags parts of speech of the cleaned input sentence. A rules based entity recognizer module identifies first level entities in the cleaned input sentence. The cleaned input sentence is converted and translated into numeric vectors. Basic and composite entities are extracted from the cleaned input sentence using the numeric vectors.

Abstract: Methods and systems are provided for call center screening that enable a network service provider to dynamically control service request traffic directed to selected service centers. An Advanced Intelligent Network (AIN) service is configured to intercept calls originating from calling parties and directed to trigger numbers designated for processing predetermined service requests. Depending upon the trigger number, the AIN may play an announcement asking a calling party to designate the service requested. Following a calling party's valid response, a second announcement is played asking the calling party to select the type of service associated with the first response. Depending upon the calling party's responses and calling party's location, the AIN may route the call to selected service centers, in order to control the traffic to overloaded service centers.

Abstract: An Advanced Intelligent Network architecture is used by a first telecommunications service provider having an operator services switch to provide enhanced call processing for operator services calls. The calls received at the operator services switch originate from a second telecommunications service provider, and the first telecommunications service provider provides custom services to the subscribers of the second telecommunication service provider. A call received at the operator services switch triggers the switch to query a control point for instructions, which in turn may query an external service parameter database. The control point instructs the switch to temporarily connect the caller to a peripheral resource providing a custom branding announcement to the caller and a menu of options from which the caller may select popular destinations.

Abstract: Methods and systems are provided for call center screening that enable a network service provider to dynamically control service request traffic directed to selected service centers. An Advanced Intelligent Network (AIN) service is configured to intercept calls originating from calling parties and directed to trigger numbers designated for processing predetermined service requests. Depending upon the trigger number, the AIN may play an announcement asking a calling party to designate the service requested. Following a calling party's valid response, a second announcement is played asking the calling party to select the type of service associated with the first response. Depending upon the calling party's responses and calling party's location, the AIN may route the call to selected service centers, in order to control the traffic to overloaded service centers.

Abstract: Methods and systems are provided for call center screening that enable a network service provider to dynamically control service request traffic directed to selected service centers. An Advanced Intelligent Network (AIN) service is configured to intercept calls originating from calling parties and directed to trigger numbers designated for processing predetermined service requests. Depending upon the trigger number, the AIN may play an announcement asking a calling party to designate the service requested. Following a calling party's valid response, a second announcement is played asking the calling party to select the type of service associated with the first response. Depending upon the calling party's responses and calling party's location, the AIN may route the call to selected service centers, in order to control the traffic to overloaded service centers.

Abstract: Methods and systems are disclosed for supplying calling party information to a called party via a network comprising a telephone network, a data network, and at least one gateway device. The gateway device is connected to both the telephone network and the data network. The gateway device receives, via the telephone network, signaling information representing a telephone call from the calling party to the called party. The signaling information includes called party information. Calling party information is obtained based on the signaling information. The calling party information is provided to the called party via the data network.

Abstract: A software agent for locally tracking a user's network interaction, such as web browsing, and providing targeted promotions with optional coupons to the user. The monitoring involves use of a downloaded file of network addresses and words potentially tailored to each individual user. The software agent locally compares addresses of sites accessed and words used in searching to the stored addresses and key words in the file. Upon detecting a match, the software agent contacts a system server to obtain a promotion with an optional coupon for the match, and displays an indication of the promotion or coupon to the user, providing the user with the option to view or decline the promotion. The user is provided with redeemable credits for viewing promotions, which can include transferring the user to a site of a merchant offering the promotion.