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

Ngày tải lên: 20/02/2014, 04:20

... 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 Summ...

Ngày tải lên: 20/02/2014, 04:20

Ngày tải lên: 20/02/2014, 04:20

... re-ranking model performs rather well for a limited number of candidate structures, and out- performs Charniak’s model when k = 5. In this case 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 the number of k-best candidates increases, the PCFG model outpe...

Ngày tải lên: 20/02/2014, 04:20

... example on question retrieval most 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), ... µ 1 = 1, the retrieval model is based on phrase-based translation model for the question part. When µ 2 = 1, the retrieval model is based on phrase-based translation mo...

Ngày tải lên: 20/02/2014, 04:20

... (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 can observe that the model ... (up to 1.8% for BNews), the gain in the precision could compensate it well; it beats the MP model in the overall F-measure for all three domains (2.3% for Nwire, 0.4%...

Ngày tải lên: 20/02/2014, 09:20

... Association for Computational Linguistics Statistical phrase-based models for interactive computer-assisted translation Jes ´ us Tom ´ as and Francisco Casacuberta Instituto Tecnol ´ ogico de Inform ´ atica Universidad ... framework (Och et al., 2003). Phrase-based models have proved to be very ad- equate statistical models for MT (Tom ´ as et al., 2005). In this work, the use of these...

Ngày tải lên: 20/02/2014, 12:20

... 61–64, Prague, June 2007. c 2007 Association for Computational Linguistics A Joint Statistical Model for Simultaneous Word Spacing and Spelling Error Correction for Korean Hyungjong Noh* Jeong-Won ... network 8 4 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 ar...

Ngày tải lên: 20/02/2014, 12:20

... transitions counted before. This new trans- ducer is then used in the next iteration. This adaptive model is likely to perform better than the static Levenshtein model. For example, to transduce ... account. We there- fore simply selected the longest candidate word. 2 3.4 A Rule-based Model This last model does not use learning algorithms. It consists of a simple set of transformatio...

Ngày tải lên: 20/02/2014, 12:20

... 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 Sp...

Ngày tải lên: 20/02/2014, 15:20