Báo cáo khoa học: "Combining Source and Target Language Information for Name Tagging of Machine Translation Output" ppt

... constituent, such as a name, which could lead to boundary errors in tagging English names. We have therefore used an alternative method to fetch the source language information for information extraction, ... clearer in the source, and some in the target, we tried to integrate the tag information from both source and target to improve target language tagging performance, especially recall. In our ... using source language information. In the nist05 data, we find 1893 named entities in the English NER output (target language part) and 1968 named entities in the ET output (source language part);...

Báo cáo khoa học: "Combining Stochastic and Rule-Based Methods for Disambiguation in Agglutinative Languages" pptx

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Báo cáo khoa học: "Alternative Phrases and Natural Language Information Retrieval" pptx

... Phrases and Natural Language Information RetrievalGann BiernerDivision of InformaticsUniversity of Edinburghgbierner@cogsci.ed.ac.ukAbstractThis paper presents a formal analysis for a large ... advantage of easily available information, not to handle a wide variation of lin-guistic phenomena. Handling a full range of nat-ural language queries requires a deeper approach. For example, ... derivable from previousdiscourse, and in Stone and Doran (1997) and Stone and Webber (1998) for natural language generation.Lexical entries are written in the followingform, where the semantic parameters...

Tài liệu Báo cáo khoa học: "Combining Functionality and Object Orientedness for Natural Language Processing" ppt

... Applicative Language) . In PAL, new composite expressions are constructed only with a binary form of function application. Thus, if z and I/ are well-formed formulas of PAL, so is a form z(y). ... Combining Functionality and Ob]ec~Orientedness for Natural Language Processing Toyoakl Nishida I and Shuji Doshita Department of Information Science, Kyoto University Sakyo-ku, ... Expressions of PAL are related to expressions of natural language as follows: Generally, when a phrase consists of its immediate descendants, say z and y, a PAL expression for the phrase is one of...

Báo cáo khoa học: "Combining Statistical and Knowledge-based Spoken Language Understanding in Conditional Models" pptx

... leaving no hidden variables and resulting in a CRF. Here, PAC stands for “preamble for arrival city,” and PDC for “preamble for departure city.” The command prior and state transition features ... likelihood of different top-level commands: (1) ()()()1if =0C( ) = , CommandSet0 otherwise oPR t ttcfs s ttscc−,,,⎧∧=∀∈⎨⎩ Here C(s) stands for the name of the command that ... natural language processing and speech recognition, and best practices in language engineering for every new domain. On the other hand, a statistical learning approach needs a large amount of...

Báo cáo khoa học: "Combining Acoustic and Pragmatic Features to Predict Recognition Performance in Spoken Dialogue Systems" pdf

... 1993)),which is also used for parsing and generation.3.1 WITAS Information StatesThe WITAS dialogue system is part of a largerfamily of systems that implement the Information State Update (ISU) ... infor-mation extracted from speech waveforms, togetherwith information derived from their speech recog-nizer, to automatically predict misrecognized turnsin a corpus of train-timetable information ... components of Informa-tion States (IS) and the update procedures for pro-cessing user input and generating system responses.Here, we brieﬂy introduce parts of the IS which areneeded to understand...

Báo cáo khoa học: "Combining data and mathematical models of language change" ppt

... course of the N/V stress shift, and can thus be seen as pos-sible sources of the diachronic dynamics of N/Vpairs.55This type of assumption is necessary for any hypothesisabout the sources of ... in trochaic contexts, and verbsmore frequently in iambic contexts; there is thuspressure for the V forms of {1,1} pairs to be mis-perceived as σ´σ, and for the N forms of {2,2} pairsto be ... N1examples of the N form, of which kt1areσ´σ and (N1-kt1) are ´σσ; N2 and kt2are similarlydeﬁned for V examples. Each example is sampledi.i.d. from a random member of Gt−1. The...

Báo cáo khoa học: "Combining Deep and Shallow Approaches in Parsing German" pptx

... approaches and their combina-tion. An underspeciﬁcation scheme for the output of the ﬁnite-state parser is intro-duced and shown to improve performance.1 IntroductionIn several areas of Natural Language ... basis of theevaluation format and applies a machine learner toit. Section 4 describes the architecture of the cas-caded ﬁnite-state parser and its output in a novelunderspeciﬁcation format. ... tokenpaperto the right of the cur-rent token. Obviously there are far too many wordtokens, but we can use Part -Of- Speech tags instead.Furthermore information on inﬂection and type of noun (proper...

Báo cáo khoa học: "Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue" docx

... http://corpus.amiproject.org/documentations/guidelines-1/275 For each participant Pi– target for whole utterance– target for ﬁrst third of utterance– target for second third of utterance– target for third third of utterance– target for -/+ ... Peters11Center for the Study of Language and Information, Stanford University{frampton, raquelfr, ehlen, peters}@stanford.edu2International Computer Science Institute, University of California at ... types of visual information: participant gaze and mutual gaze.The 3D head orientation and location of eachsubject along with camera calibration information was used to compute participant gaze information for...

Báo cáo khoa học: "Combining Trigram and Winnow in Thai OCR Error Correction" potx

... collocations test for a pattern of up to L contiguous words and/ or part -of- speech tags around the target word. In our experiment M and L is set to 10 and 2, respectively. Examples of features for discrimi- ... words with the same part of speech. This is because the POS trigram model considers only coarse information of POS in a fixed restricted range of context, some useful information such as specific ... network of one target node connected to n nodes, called spe- cialists, each of which examines one feature and 839 Let Vh , vm be the values of the target concept to be learned, and xi be...

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