Topic
Phrase
About: Phrase is a research topic. Over the lifetime, 12580 publications have been published within this topic receiving 317823 citations. The topic is also known as: syntagma & phrases.
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Patent•
15 Nov 2006
TL;DR: In this article, an exclusionary phrase index is determined for each cluster, and representative phrases are selected from the indexes, and the representative phrases may be used as cluster labels in an interactive information exploration interface.
Abstract: Disclosed information exploration system and method embodiments operate on a document set to determine a document cluster hierarchy. An exclusionary phrase index is determined for each cluster, and representative phrases are selected from the indexes. The selection process may enforce pathwise uniqueness and balanced sub-cluster representation. The representative phrases may be used as cluster labels in an interactive information exploration interface.
184 citations
01 Dec 2014
TL;DR: Recursive neural networks can be used to perform the core spoken language understanding (SLU) tasks in a spoken dialog system, more specifically domain and intent determination, concurrently with slot filling, in one jointly trained model.
Abstract: In recent years, continuous space models have proven to be highly effective at language processing tasks ranging from paraphrase detection to language modeling. These models are distinctive in their ability to achieve generalization through continuous space representations, and compositionality through arithmetic operations on those representations. Examples of such models include feed-forward and recurrent neural network language models. Recursive neural networks (RecNNs) extend this framework by providing an elegant mechanism for incorporating both discrete syntactic structure and continuous-space word and phrase representations into a powerful compositional model. In this paper, we show that RecNNs can be used to perform the core spoken language understanding (SLU) tasks in a spoken dialog system, more specifically domain and intent determination, concurrently with slot filling, in one jointly trained model. We find that a very simple RecNN model achieves competitive performance on the benchmark ATIS task, as well as on a Microsoft Cortana conversational understanding task.
183 citations
07 May 2002
TL;DR: The architecture that augments existing search engines so that they support natural language question answering, called NSIR, is developed and some probabilistic approaches to the last three of these stages are described.
Abstract: Web-based search engines such as Google and NorthernLight return documents that are relevant to a user query, not answers to user questions. We have developed an architecture that augments existing search engines so that they support natural language question answering. The process entails five steps: query modulation, document retrieval, passage extraction, phrase extraction, and answer ranking. In this paper we describe some probabilistic approaches to the last three of these stages. We show how our techniques apply to a number of existing search engines and we also present results contrasting three different methods for question answering. Our algorithm, probabilistic phrase reranking (PPR) using proximity and question type features achieves a total reciprocal document rank of .20 on the TREC 8 corpus. Our techniques have been implemented as a Web-accessible system, called NSIR.
182 citations
Patent•
26 May 2006TL;DR: In this article, a method for authenticating a user based on the phrase, the biometric voice print, and the device identifier is presented. But the method is limited to a single user and cannot be used to authenticate multiple users.
Abstract: A method (700) and system (900) for authenticating a user is provided. The method can include receiving one or more spoken utterances from a user (702), recognizing a phrase corresponding to one or more spoken utterances (704), identifying a biometric voice print of the user from one or more spoken utterances of the phrase (706), determining a device identifier associated with the device (708), and authenticating the user based on the phrase, the biometric voice print, and the device identifier (710). A location of the handset or the user can be employed as criteria for granting access to one or more resources (712).
181 citations
Patent•
23 Jun 1997TL;DR: In this paper, a trainable method for keyword extraction of one or more words is described, in which every word within a document that is not a stop word is stemmed and evaluated and receives a score, which is then replaced by a word phrase that is delimited by punctuation or stop words.
Abstract: A trainable method of extracting keywords of one or more words is disclosed According to the method, every word within a document that is not a stop word is stemmed and evaluated and receives a score The scoring is performed based on a plurality of parameters which are adjusted through training prior to use of the method for keyword extraction Each word having a high score is then replaced by a word phrase that is delimited by punctuation or stop words The word phrase is selected from word phrases having the stemmed word therein Repeated keywords are removed The keywords are expanded and capitalisation is determined The resulting list forms extracted keywords
180 citations