Implementing a sense tagger in a general architecture for text engineering

Cunningham, Hamish; Stevenson, Mark; Wilks, Yorick

doi:10.3115/1603899.1603910

Cited by 203 publications

(270 citation statements)

References 23 publications

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“…Đối với truy vấn, HNP sử dụng SPARQL và tSPARQL [5], Đồng thời, có thêm thông số thời gian để thực hiện các truy vấn. Việc phân loại các bài báo được thực hiện bằng cách sử dụng GATE [7] và WordNet [2] ngữ nghĩa của từ vựng. Nghiên cứu sử dụng độ đo IF-IDF và hệ số tương tự Jaccard để tính toán độ tương tự cho các bài báo gợi ý cho người dùng.…”

Section: Những Nghiên Cứu Liên Quanunclassified

Giải Pháp Tích Hợp Xử Lý Ngữ Nghĩa Vào Hệ Thống Gợi Ý

Tài¹,

Hòa²,

Trí³

et al. 2017

Fair - Nghiên Cứu Cơ Bản Và Ứng Dụng Công Nghệ Thông Tin - 2016

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Section: Những Nghiên Cứu Liên Quanunclassified

Giải Pháp Tích Hợp Xử Lý Ngữ Nghĩa Vào Hệ Thống Gợi Ý

Tài¹,

Hòa²,

Trí³

et al. 2017

Fair - Nghiên Cứu Cơ Bản Và Ứng Dụng Công Nghệ Thông Tin - 2016

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“…The senses of the word groups not present in the ontology are not reflected in the precision and recall measures, as these measures only relate to identified ontological concepts (and their disambiguated senses). SemNews [20,33] 68.00 68.00 ANNIE [8] 85.00 85.00 CAFETIERE [4,38] 84.03 84.13 KIM [34] 86.00 82.00 SPEED 86.00 81.00…”

Section: Discussionmentioning

confidence: 99%

“…However, over the last few years, GATE [8,10], a freely available general purpose framework for IE purposes, has become increasingly popular as a basis for IE tools. GATE is highly flexible in that the user can construct natural language processing pipelines from components that perform specific tasks.…”

Section: Anniementioning

confidence: 99%

Semantics-based information extraction for detecting economic events

Hogenboom

Frăsincar

et al. 2012

Multimed Tools Appl

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As today's financial markets are sensitive to breaking news on economic events, accurate and timely automatic identification of events in news items is crucial. Unstructured news items originating from many heterogeneous sources have to be mined in order to extract knowledge useful for guiding decision making processes. Hence, we propose the Semantics-Based Pipeline for Economic Event Detection (SPEED), focusing on extracting financial events from news articles and annotating these with meta-data at a speed that enables real-time use. In our implementation, we use some components of an existing framework as well as new components, e.g., a high-performance Ontology Gazetteer, a Word Group Look-Up component, a Word Sense Disambiguator, and components for detecting economic events. Through their interaction with a domain-specific ontology, our novel, semantically enabled components constitute a feedback loop which fosters future reuse of acquired knowledge in the event detection process.

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“…This module uses a set of well-established natural language processing tools such as the GATE (Cunningham et al, 1997) system. The basic processes carried out by GATE are: tokenizing, sentence splitting, POS tagging, parsing and Named Entity Recognition.…”

Section: Dialogue Input Understanding and Inferencementioning

confidence: 99%

A prototype for a conversational companion for reminiscing about images

Wilks

Catizone

Worgan

et al. 2011

Computer Speech & Language

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This paper describes an initial prototype of the Companions project (www.companions-project.org): the Senior Companion (SC), designed to be a platform to display novel approaches to:(1) The use of Information Extraction (IE) techniques to extract the content of incoming dialogue utterances after an ASR phase.(2) The conversion of the input to RDF form to allow the generation of new facts from existing ones, under the control of a Dialogue Manager (DM), that also has access to stored knowledge and knowledge accessed in real time from the web, all in RDF form. (3) A DM expressed as a stack and network virtual machine that models mixed initiative in dialogue control. (4) A tuned dialogue act detector based on corpus evidence.The prototype platform was evaluated, and we describe this; it is also designed to support more extensive forms of emotion detection carried by both speech and lexical content, as well as extended forms of machine learning. We describe preliminary studies and results for these, in particular a novel approach to enabling reinforcement learning for open dialogue systems through the detection of emotion in the speech signal and its deployment as a form of a learned DM, at a higher level than the DM virtual machine and able to direct the SC's responses to a more emotionally appropriate part of its repertoire.

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Implementing a sense tagger in a general architecture for text engineering

Cited by 203 publications

References 23 publications

Giải Pháp Tích Hợp Xử Lý Ngữ Nghĩa Vào Hệ Thống Gợi Ý

Giải Pháp Tích Hợp Xử Lý Ngữ Nghĩa Vào Hệ Thống Gợi Ý

Semantics-based information extraction for detecting economic events

A prototype for a conversational companion for reminiscing about images

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