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The phrases containing /a/
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Named entities (NE) are phrases that contain the names of persons, organizations, locations, times, quantities, email, phone number, etc., in a document. Named Entity Recognition (NER) is a fundamental task that is useful in many applications, especially in information extraction and question answering.
11p
viberkshire
09-08-2023
7
5
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Giáo án Tiếng Anh lớp 2 - Unit 12: At the café được biên soạn với mục tiêu nhằm giúp các em học sinh nói được chữ cái A/a, các từ grapes, cake, table và các cụm từ/câu có chứa /a/ và grapes, cake, table trong một bài hát; nghe và xác định các từ grapes, cake, table; viết chữ cái A/a và hoàn thành các từ _rapes, _ake, _able,... Mời quý thầy cô và các em học sinh cùng tham khảo chi tiết nội dung giáo án!
21p
bachtudu
11-11-2021
60
12
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In this paper we present a framework for text mining using descriptive phrase extraction. The framework follows the general knowledge discovery process, thus containing steps from preprocessing to the utilization of the results. We apply generalized episodes and episode rules data mining method.
6p
byphasse043256
24-03-2019
16
0
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With the availability of large treebanks, retrieval techniques for highly structured data now become essential. In this contribution, we investigate the efficient retrieval of MT structures at the cost of a complex index--the Treegram Index. We illustrate our approach with the VENONA retrieval system, which handles the BH t (Biblia Hebraica transeripta) treebank comprising 508,650 phrase structure trees with maximum degree eight and maximum height 17, containing altogether 3.3 million Old-Hebrew words.
2p
bunthai_1
06-05-2013
60
4
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We present a model for sentence compression that uses a discriminative largemargin learning framework coupled with a novel feature set defined on compressed bigrams as well as deep syntactic representations provided by auxiliary dependency and phrase-structure parsers. The parsers are trained out-of-domain and contain a significant amount of noise. We argue that the discriminative nature of the learning algorithm allows the model to learn weights relative to any noise in the feature set to optimize compression accuracy directly.
8p
bunthai_1
06-05-2013
37
1
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We present a new grammar formalism for parsing with freer word-order languages, motivated by recent linguistic research in German and the Slavic languages. Unlike CFGs, these grammars contain two primitive notions of constituency that are used to preserve the semantic or interpretational aspects of phrase structure, while at the same time providing a more efficient backbone for parsing based on word-order and contiguity constraints. A simple parsing algorithm is presented, and compilation of grammars into Constraint Handling Rules is also discussed. ...
8p
bunthai_1
06-05-2013
46
2
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I am unwilling to send out this Harrison, the friend of some twenty years' standing, without a few words of introduction to those readers who don't know it. The book is full of interest, not only to every Shakspere student, but to every reader of English history, every man who has the least care for his forefathers' lives. Though it does contain sheets of padding now and then, yet the writer's racy phrases are continually turning up, and giving flavour to his descriptions, while he sets before us the very England of Shakspere's day.
193p
nhokheo9
03-05-2013
56
2
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This paper 1 presents a rapid and robust parsing system currently used to learn from large bodies of unedited text. The system contains a multivalued part-of-speech disambiguator and a novel parser employing bottom-up recognition to find the constituent phrases of larger structures that might be too difficult to analyze. The results of applying the disambiguator and parser to large sections of the Lancaster/ Oslo-Bergen corpus are presented. INTRODUCTION We have implemented and tested a parsing system which is rapid and robust enough to apply to large bodies of unedited text. ...
9p
bungio_1
03-05-2013
53
1
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The lexicon now plays a central role in our implementation of a Head-driven Phrase Structure G r a m m a r (HPSG), given the massive relocation into the lexicon of linguisticinformation that was carried by the phrase structure rules in the old G P S G system. HPSG's grammax contains fewer tha4z twenty (very general) rules; its predecessor required over 350 to achieve roughly the same coverage. This simplification of the grammax is made possible by an enrichment of the structure and content of lexical entries, using both inhcrit~nce mechanisms and lexical rules to represent thc linguistic...
6p
bungio_1
03-05-2013
33
1
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This paper presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic orientation of the phrases in the review that contain adjectives or adverbs. A phrase has a positive semantic orientation when it has good associations (e.g., “subtle nuances”) and a negative semantic orientation when it has bad associations (e.g., “very cavalier”).
8p
bunmoc_1
20-04-2013
99
2
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This paper describes a simple patternmatching algorithm for recovering empty nodes and identifying their co-indexed antecedents in phrase structure trees that do not contain this information. The patterns are minimal connected tree fragments containing an empty node and all other nodes co-indexed with it.
8p
bunmoc_1
20-04-2013
44
2
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This paper presents a formal analysis for a large class of words called alternative markers, which includes other(than), such(as), and besides. These words appear frequently enough in dialog to warrant serious attention, yet present natural language search engines perform poorly on queries containing them. I show that the performance of a search engine can be improved dramatically by incorporating an approximation of the formal analysis that is compatible with the search engine’s operational semantics. ...
8p
bunrieu_1
18-04-2013
35
2
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We present a statistical phrase-based translation model that uses hierarchical phrases— phrases that contain subphrases. The model is formally a synchronous context-free grammar but is learned from a bitext without any syntactic information. Thus it can be seen as a shift to the formal machinery of syntaxbased translation systems without any linguistic commitment. In our experiments using BLEU as a metric, the hierarchical phrasebased model achieves a relative improvement of 7.5% over Pharaoh, a state-of-the-art phrase-based system. ...
8p
bunbo_1
17-04-2013
31
2
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Báo cáo khoa học: "Semantic Classification of Noun Phrases Using Web Counts and Learning Algorithms"
This paper investigates the use of machine learning algorithms to label modifier-noun compounds with a semantic relation. The attributes used as input to the learning algorithms are the web frequencies for phrases containing the modifier, noun, and a prepositional joining term. We compare and evaluate different algorithms and different joining phrases on Nastase and Szpakowicz’s (2003) dataset of 600 modifier-noun compounds.
6p
hongvang_1
16-04-2013
57
2
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The automatic extraction of relations between entities expressed in natural language text is an important problem for IR and text understanding. In this paper we show how different kernels for parse trees can be combined to improve the relation extraction quality. On a public benchmark dataset the combination of a kernel for phrase grammar parse trees and for dependency parse trees outperforms all known tree kernel approaches alone suggesting that both types of trees contain complementary information for relation extraction. ...
4p
hongphan_1
15-04-2013
40
1
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Statistical parsing of noun phrase (NP) structure has been hampered by a lack of goldstandard data. This is a significant problem for CCGbank, where binary branching NP derivations are often incorrect, a result of the automatic conversion from the Penn Treebank.(N (N/N lung) (N (N/N cancer) (N deaths) ) )This structure is correct for most English NPs and is the best solution that doesn’t require manual reannotation. However, the resulting derivations often contain errors.
9p
hongphan_1
15-04-2013
46
3
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Recent advances in functional Magnetic Resonance Imaging (fMRI) offer a significant new approach to studying semantic representations in humans by making it possible to directly observe brain activity while people comprehend words and sentences. In this study, we investigate how humans comprehend adjective-noun phrases (e.g. strong dog) while their neural activity is recorded. Classification analysis shows that the distributed pattern of neural activity contains sufficient signal to decode differences among phrases. ...
9p
hongphan_1
14-04-2013
48
1
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One problem with phrase-based statistical machine translation is the problem of longdistance reordering when translating between languages with different word orders, such as Japanese-English. In this paper, we propose a method of imposing reordering constraints using document-level context. As the documentlevel context, we use noun phrases which significantly occur in context documents containing source sentences.
5p
hongdo_1
12-04-2013
55
2
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We propose a method for automatically labelling topics learned via LDA topic models. We generate our label candidate set from the top-ranking topic terms, titles of Wikipedia articles containing the top-ranking topic terms, and sub-phrases extracted from the Wikipedia article titles. We rank the label candidates using a combination of association measures and lexical features, optionally fed into a supervised ranking model.
10p
hongdo_1
12-04-2013
44
2
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I have spent many years writing the first bilingual legal dictionary in Nicaragua, and probably in Central America. This dictionary is a useful reference in Spanish and English speaking countries, particularly to lawyers, investors, managers, translators, diplomats, students, etc. in today´s globalized world. The Work contains over 44,000 legal terms and phrases in both languages, including terms used in Latin America.
530p
huetay_1
27-02-2013
40
5
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