... the full semantic statefor every training example, we have a very smallamount of data annotated with semantic states anda larger number of unannotated texts with non-contradictory semantics.We ... These newly-producedforecasts, when combined with the original texts,resulted in 259 groups of non-contradictory texts(650 texts, 2.5 texts per group). An example ofsuch a group is given in figure ... straightforward.As explained above, semantics of a text m is de-fined by the assignment of state variables s. Anal-ogously, an alignment a between semantics mand a text w is represented by all the...
... surprising here, given the claim in this book that the sixteenth-centuryEpilogue: fromtext to work? 1335 Epilogue: fromtext to work?I have tried in this book to offer a more skeptical account of ... pleasurein the text is sometimes seen as merely (false) affect or as academic waste-fulness, its re-emergence displacing hoped-for political work, we also knowEpilogue: fromtext to work? 131basis ... literary texts will provide the profession with animportant rationale for its defense and extension, including into projectsassociated with cultural studies.7To invoke a literary text s distinctive...
... Database Schema Informationfrom SQL Server Problem You need to retrieve database schema informationfrom a SQL Server database. Solution Retrieve table schema information using either information ... accessed through the following syntax: INFORMATION_ SCHEMA.TABLES Table 10-1 lists the information schema views available in SQL Server 2000. Table 10-1. Information schema views Name Description ... view. Like any other views, information schema views can also be joined in queries or participate in complex queries to extract specific information. For detailed information about the different...
... đuợc chia thành hai nhóm: nhóm dịch vụ cung cấp ngữ nghĩa (Semantic Provisioning Services -SPS ) và nhóm dịch vụ hiểu ngữ nghĩa (Semantically Aware Grid Services -SAGS). Nhóm dịch vụ SPS chịu ... Nhóm nghiên cứu đã chọn mô hình tài nguyên Common Information Model (CIM) để hiện thực những phần mở rộng của S-OGSA đối với Knowledge Entities và Semantic Binding. CIM là mô hình hướng đối tượng, ... IV. PHỤ LỤC PHÂN CÔNG CÔNG VIỆC Đây là bài báo cáo chi tiết của seminar 5 với chủ đề tài Semantic Grid: From Concepts to Implementation” với công việc cụ thể như sau: Nội dung Người thực hiện...
... non-comparatives by extracting only comparatives fromtext documents. Then we classify the comparatives into seven types. 3.1 Extracting comparative sentences from text documents Our strategy is to first ... comparison mining. Jindal and Liu (2006a; 2006b) studied to mine comparative relations from English text documents. They used comparative and superlative POS tags, and some additional keywords. ... (2009; 2011) studied to extract comparative sentences in Korean text documents. Li et al. (2010) studied to mine comparable entities from English comparative questions that users posted online....
... Linguistics Semantic Information and Derivation Rules for Robust Dialogue ActDetection in a Spoken Dialogue SystemWei-Bin Liang1Chung-Hsien Wu2Department of Computer Science and Information ... 1, 586 ut-terances. From the Q-data, 28 named entity classesand 796 derivation rules were obtained from the S-parser. Table 1 gives some examples of the selectedNECs and semantic classes.5.1 ... scoresderived from the ASR recognition probabil-ity and the dialogue history, the proposed ap-proach achieves 84.3% detection accuracy, anabsolute improvement of 34.7% over the base-line of the semantic...
... context". The four syntactic links of LEXTER Can be used to define this terminological context. For in- stance, the "expansion terminological context" (E- terminological context) ... specific attribute of it, NPs described by similar E-terminological con- texts will be semantically close. These semantic sim- ilarities allow the KE to build conceptual fields in the early ... object LINE. This definition of the context is original compared to the classical context definitions used in Informa- tion Retrieval, where the context of a lexical unit is obtained by examining...
... NO-REL.train/test split from Table 1 and the feature sets:Syntactic The syntactic features from Section 4. Semantic The semantic features from Section 4.All Both syntactic and semantic features.All+Tmp ... ofsyntactic and semantic features performing 5 pointsbetter (43.6% precision and 55.8% recall) than eitherfeature set individually. This suggests that our syn-tactic and semantic features ... 177–180,Columbus, Ohio, USA, June 2008.c2008 Association for Computational LinguisticsLearning Semantic Links from a Corpus ofParallel Temporal and Causal RelationsSteven BethardInstitute for Cognitive...
... SupervisedLearning of Semantic Knowledge from Query Logs. IJC-NLP, pages 358–365.M. Pas¸ca and B. V. Durme. 2007. What You Seek is WhatYou Get: Extraction of Class Attributes from Query Logs.IJCAI-07, ... algorithm of search engines.5 ConclusionWe have proposed a method called Quetchupto learn semantic categories from search click-through logs using Laplacian label propagation.The proposed method ... nodes.3 Quetchup3AlgorithmIn this section, we describe an algorithm forlearning semantic categories from search logs us-ing label propagation. We name the algorithmQuetchup.3.1 Semi-supervised...
... Travel Informationfrom Blogs Data sets and experimental settings To confirm that travel blogs are a useful informa-tion source for the extraction of travel informa-tion, we extracted travel information ... blogs: 80,000 sentences from 1,100,000 blog entries. Generic webs: 80,000 sentences from 470M web sentences (Kawahara and Kuro-hashi, 2006). We extracted travel information (location-name/local-product ... (location-name/local-product pairs) from each information source, and ranked them by their frequencies. Evaluation We used the Precision value for the top-ranked travel information defined by the...
... way. Whereas in other studies the reduction has typically been from several ten thou-sand to a few hundred, our reduction is from sev-eral ten thousand to only three. This leads to a very ... footnote 1). This finding is of interest when trying to understand the nature of syntax versus semantics if expressed in statistical terms. Acknowledgements I would like to thank Manfred Wettler ... Linguistics 18(4), 467-479. Clark, Alexander (2003). Combining distributional and morphological information for part of speech induc-tion. Proceedings of 10th EACL, Budapest, 59-66. Freitag,...
... Zs" (patterns 3 and 4 in Hearst). From this phrase we can extract that Z is likely a hypernym for both X and Y. This data is extracted from the parsed text, and for each noun we construct ... (Fellbaum, 1998) automat- ically fromtext using no other lexical re- sources. WordNet has been an important re- search tool, but it is insufficient for domain- specific text, such as that encountered ... collected from the Wall Street Jour- nal corpus. Some of the data comes from the parsed files 2-21 of the Wall Street Journal Penn Treebank corpus (Marcus et al., 1993), and additional parsed text...