Tài liệu Báo cáo khoa học: "Sentiment Vector Space Model for Lyric-based Song Sentiment Classification" pdf

Tài liệu Báo cáo khoa học: "A Unified Graph Model for Sentence-based Opinion Retrieval" pdf

... weight to a sentiment word for each target (associated topic term) rather than assign a unified weight or an equal weight to the sentiment word for the whole topics. Besides, in our model no ... performance. In this paper, we propose a sentence-based ap-proach based on a new information representa-tion, namely topic -sentiment word pair, to cap-ture intra-sentence contextual information ... relevant to the target concerned. Therefore, we argue that existing information representation i.e. bag-of-word, cannot satisfy the information needs for opinion retrieval. In this paper,...

Tài liệu Báo cáo khoa học: "A Hybrid Hierarchical Model for Multi-Document Summarization" ppt

... paper, we formulate ex-tractive summarization as a two step learn-ing problem building a generative model for pattern discovery and a regression model for inference. We calculate scores for sentences ... hierarchical model and re-gression model to score sentences in new docu-ments, eliminating the need for building a genera-tive model for new document clusters.3 Summary-Focused Hierarchical Model Our ... approaches for MDS aspresented in this paper.In this paper, we present a novel approach thatformulates MDS as a prediction problem basedon a two-step hybrid model: a generative model for hierarchical...

Tài liệu Báo cáo khoa học: "Fixed Length Word Suffix for Factored Statistical Machine Translation" pdf

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Tài liệu Báo cáo khoa học: "A probabilistic generative model for an intermediate constituency-dependency representation" pptx

... re-ranking model performs rather well for a limited number of candidate structures, and out-performs Charniak’s model when k = 5. In thiscase we observe a small boost in performance for the detection ... consistently outper-forms the PCFG model on this metric, as for UAS,and BAS. Concerning the other metrics, as thenumber of k-best candidates increases, the PCFG model outperforms the TDS-reranker ... the art parser for PS trees (Charniak, 1999), and transform eachcandidate to TDS. This strategy can be considereda ﬁrst step to efﬁciently test and compare differentmodels before implementing...

Tài liệu Báo cáo khoa học: "Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives" ppt

... example on question retrievalmost information retrieval models, such as vector space model (VSM) (Salton et al., 1975), Okapi model (Robertson et al., 1994), language model (LM) (Ponte and Croft, 1998), ... µ1= 1, the retrieval model is basedon phrase-based translation model for the questionpart. When µ2= 1, the retrieval model is based onphrase-based translation model for the answer part.3.3 ... translation model for question retrieval. Compared to the traditionalword-based translation models, the phrase-based translation model is more effective be-cause it captures contextual information...

Tài liệu Báo cáo khoa học: "An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming" pdf

... (entity-mention model) a good classiﬁer learner for the mention-pair model. The ﬁfth line of Table 4 is for the ILP based entity-mention model (described in Section 4.2). We canobserve that the model ... (up to1.8% for BNews), the gain in the precision couldcompensate it well; it beats the MP model in theoverall F-measure for all three domains (2.3% for Nwire, 0.4% for Npaper, 1.4% for BNews). ... framework considered for the entity-mention model adopts similar training and testingprocedures as for the mention-pair model. Specif-ically, a training or testing instance has the form ofi{ei,...

Tài liệu Báo cáo khoa học: "Statistical phrase-based models for interactive computer-assisted translation" pdf

... Association for Computational LinguisticsStatistical phrase-based models for interactive computer-assistedtranslationJesús Tomás and Francisco CasacubertaInstituto Tecnológico de InformáticaUniversidad ... framework (Och et al., 2003).Phrase-based models have proved to be very ad-equate statistical models for MT (Tomás et al.,2005). In this work, the use of these models hasbeen extended to interactive ... sentences tI1. Therefore, thesame techniques (translation models, decoder al-gorithm, etc.) which have been developed for SMT can be used in CAT.Note that the statistical models are defined atword...

Tài liệu Báo cáo khoa học: "A Joint Statistical Model for Simultaneous Word Spacing and Spelling Error Correction for Korean" pdf

... 61–64,Prague, June 2007.c2007 Association for Computational LinguisticsA Joint Statistical Model for Simultaneous Word Spacing and Spelling Error Correction for Korean Hyungjong Noh* Jeong-Won ... network84 Experiments and Analyses 4.1 Corpus Information Table 1: Corpus information Table 1 shows the information of corpus which is used for experiments. All corpora are obtained from ... transition unit, and build an Eojeol transition pattern dictionary for these special cases. 3 A Joint Statistical Model for Word Spacing and Spelling Error Correction 3.1 Problem Definition...

Tài liệu Báo cáo khoa học: "Adaptive String Distance Measures for Bilingual Dialect Lexicon Induction" pdf

... transitions counted before. This new trans-ducer is then used in the next iteration.This adaptive model is likely to perform betterthan the static Levenshtein model. For example, totransduce ... account. We there-fore simply selected the longest candidate word.23.4 A Rule-based Model This last model does not use learning algorithms.It consists of a simple set of transformation rulesthat ... the corpus was reserved for training theEM-based models, and the other half was used for testing.The Standard German lexicon is a word list con-sisting of 202’000 word forms. While the lexiconprovides...

Tài liệu Báo cáo khoa học: "A Phonotactic Language Model for Spoken Language Identification" pptx

... latter decides what features to be included in the vector space. The vector space modeling allows for multiple heterogeneous fea-tures in one vector. We introduce three types of acoustic vocabulary ... acoustic to-kens to form a unified acoustic vocabulary in our voice tokenizer. Readers are referred to (Ma et al., 2005) for details of acoustic modeling. 3.1 Vector Space Modeling In human ... holds for di-mension reduction. 3.3 Bag-of-Sounds Language Classifier The bag-of-sounds phonotactic LM benefits from several properties of vector space modeling and LSA. 1) It allows for...

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