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tech,19-1-P03-1068,bq	large-scale <term> acquisition of word-semantic	information	</term> , e.g. the construction of <term> domain-independent	#4954 We describe the ongoing construction of a large, semantically annotated corpus resource as reliable basis for the large-scale acquisition of word-semantic information, e.g. the construction of domain-independent lexica.
other,27-1-C04-1112,bq	maximum entropy ) </term> with <term> linguistic	information	</term> . Instead of building individual <term>	#6007 In this paper, we present a corpus-based supervised word sense disambiguation (WSD) system for Dutch which combines statistical classification (maximum entropy) with linguistic information.
other,14-4-E06-1022,bq	</term> are combined with <term> speaker 's gaze	information	</term> . The <term> classifiers </term> show	#10310 Both classifiers perform the best when conversational context and utterance features are combined with speaker's gaze information.
	<term> systems </term> is shared or identical	information	. This paper presents our experience in	#15956 However, some of the information needed across systems is shared or identical information.
	evaluation techniques </term> will provide	information	about both the <term> human language learning	#589 We believe that these evaluation techniques will provide information about both the human language learning process, the translation process and the development of machine translation systems.
	features </term> . Then , we explore whether	information	about <term> meeting context </term> can aid	#10283 Then, we explore whether information about meeting context can aid classifiers' performances.
	classifiers </term> show little <term> gain </term> from	information	about <term> meeting context </term> . Most	#10318 The classifiers show little gain from information about meeting context.
	plausible interpretation from a chunk of	information	accumulated as the constraints . The interpretation	#18508 This makes it possible to express the vagueness of the spatial concepts and to derive the maximally plausible interpretation from a chunk of information accumulated as the constraints.
tech,10-1-H01-1040,bq	show how two standard outputs from <term>	information	extraction ( IE ) systems </term> - <term>	#284 In this paper we show how two standard outputs frominformation extraction (IE) systems - named entity annotations and scenario templates - can be used to enhance access to text collections via a standard text browser.
tech,6-1-N06-2038,bq	are several approaches that model <term>	information	extraction </term> as a <term> token classification	#10805 There are several approaches that modelinformation extraction as a token classification task, using various tagging strategies to combine multiple tokens.
tech,1-4-N04-4028,bq	each <term> extracted field </term> . The <term>	information	extraction system </term> we evaluate is	#6812 Theinformation extraction system we evaluate is based on a linear-chain conditional random field (CRF), a probabilistic model which has performed well on information extraction tasks because of its ability to capture arbitrary, overlapping features of the input in a Markov model.
other,26-4-N04-4028,bq	</term> which has performed well on <term>	information	extraction tasks </term> because of its ability	#6837 The information extraction system we evaluate is based on a linear-chain conditional random field (CRF), a probabilistic model which has performed well oninformation extraction tasks because of its ability to capture arbitrary, overlapping features of the input in a Markov model.
other,20-3-C88-2166,bq	to be a repository of <term> shared lexical	information	</term> for use by <term> Natural Language	#15980 This paper presents our experience in planning and building COMPLEX, a computational lexicon designed to be a repository of shared lexical information for use by Natural Language Processing (NLP) systems.
	<term> inference types </term> , and how the	information	found in <term> memory </term> determines which	#12039 The paper also discusses how memory is structured in multiple ways to support the different inference types, and how the information found in memory determines which inference types are triggered.
	write a <term> topical report </term> , culling	information	from a large inflow of <term> multilingual	#3593 The TAP-XL Automated Analyst's Assistant is an application designed to help an English-speaking analyst write a topical report, culling information from a large inflow of multilingual, multimedia data.
	drawn primarily on explicit and implicit	information	from <term> machine-readable dictionaries	#16000 We have drawn primarily on explicit and implicit information from machine-readable dictionaries (MRD's) to create a broad coverage lexicon.
	<term> recognition tasks </term> the role of	information	from the <term> discourse </term> and from	#14379 This processing description specifies in these recognition tasks the role of information from the discourse and from the participants' knowledge of the domain.
other,2-2-H92-1026,bq	, syntactic , semantic , and structural	information	</term> from the <term> parse tree </term> into	#18929 HBG incorporates lexical, syntactic, semantic, and structural information from the parse tree into the disambiguation process in a novel way.
	tailored to the problem of extracting specific	information	from <term> unrestricted texts </term> where	#17565 We present an efficient algorithm for chart-based phrase structure parsing of natural language that is tailored to the problem of extracting specific information from unrestricted texts where many of the words are unknown and much of the text is irrelevant to the task.
other,12-3-N04-1022,bq	incorporate different levels of <term> linguistic	information	</term> from <term> word strings </term> , <term>	#6588 We describe a hierarchy of loss functions that incorporate different levels of linguistic information from word strings, word-to-word alignments from an MT system, and syntactic structure from parse-trees of source and target language sentences.


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