Báo cáo khoa học: "Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora" potx

Báo cáo khoa học: "Unsupervised Event Coreference Resolution with Rich Linguistic Features" potx

... then associate each event mention with onlyone cluster from each set. The ﬁrst set uses thetransitive closure of the WordNet SYNONYMOUSrelation to form clusters with all the words fromWordNet ... alignment of semantic roles, werun both parsers on a large amount of unlabeled text. The result of this process is a map with allframe elements statistically aligned to all predi-cate arguments. ... associated with an event z, φ a notation forall model parameters, and X a notation for all ran-dom variables that represent observable features.2Given a document collection annotated with eventmentions,...

Tài liệu Báo cáo khoa học: "Experiments in Semantic Classification" pptx

... refinement of the row classification, but we could easily have several rows for a word in one clump, with quite a crude classification. Perhaps the best way of dealing with this result is to ... have dealt with 500 rows, but 2000 have been prepared. For the initial sample of 500 a small number of words that we have called “starting words,”* with varying ranges of uses, but with some ... together with C D, which is similar to both and so brings them into the same clump. Suppose now, therefore, that we have our two text words A and B with their respective sets of rows, and that with...

Tài liệu Báo cáo khoa học: "Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT" pdf

... UniversityPittsburgh, PA, 15213, USAcdyer@cs.cmu.eduAbstract With a few exceptions, discriminative train-ing in statistical machine translation (SMT)has been content with tuning weights for largefeature sets ... types:The ﬁrst type explicitly counters overestimates ofrule counts, or rules with bad overlap points, badrewrites, or with undesired insertions of target-sideterminals. These features are speciﬁed ... of rule shapes. Another crucial ingredi-ent of our approach is a combination of parallelizedstochastic learning with feature selection inspiredby multi-task learning. The simple but effectiveidea...

Tài liệu Báo cáo khoa học: "Subjectivity and Sentiment Analysis of Modern Standard Arabic" doc

... lemmatization settings, the Stem wasfound to perform best with 73.17% F (with 1g+2g),compared to 71.97% F (with 1g+2g+3g) for Sur-face and 72.74% F (with 1g+2g) for Lemma. In ad-dition, adding the ... slightly with the two settings. In addition,the UNIQUE feature helps classiﬁcation with theLemma, but it hurts with the Stem+Morph.Table 2 shows that although performance on thetest set drops with ... Mubarak, the hateful dictator, stepped down).Subjective text is further classiﬁed with sentiment orpolarity. For sentiment classiﬁcation, the task refersto identifying whether the subjective text...

Tài liệu Báo cáo khoa học: "MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages" pdf

... annotated with sentiment labels, we train an n-gram language model for each sentiment. Then, we use such mod-el to calculate the probability that a post expresses the sentiment s associated with ... Summary of related works that detect sentiments in microblogs. 3 Sentiment Analysis of Microblog Posts First, we develop a classification model as our basic sentiment recognition mechanism. Given ... factors, we filter the users without friends, the posts without responses, and the posts without previous post in 24 hour in testing data. We also manually label the sentiments on the testing...

Tài liệu Báo cáo khoa học: "Joint Word Segmentation and POS Tagging using a Single Perceptron" docx

... t6word w with tag t and previous character c7word w with tag t and next character c8tag t on single-character word w in charac-ter trigram c1wc29tag t on a word starting with char ... ending with char c11tag t on a word containing char c (not thestarting or ending character)12tag t on a word starting with char c0andcontaining char c13tag t on a word ending with char ... candidatecomparison (since many short completed words with POS tags are likely to be preferred to a long incom-plete word with no POS tag features).22We experimented with both assigning POS features to par-tial...

Tài liệu Báo cáo khoa học: "Word Alignment for Languages with Scarce Resources Using Bilingual Corpora of Other Language Pairs" pptx

... amounts of bilingual data are available for the desired lan-guage pair L1-L2, large-scale bilingual corpora in L1-L3 and L2-L3 are available. Based on these two additional corpora and with L3 ... links with bilingual corpora (Wu, 1997; Och and Ney, 2003; Cherry and Lin, 2003; Zhang and Gildea, 2005). In order to achieve satisfactory results, all of these methods require a large-scale bilingual ... using bilingual sentence pairs in the desired languages, namely Chinese and Japanese here. In this section, we describe how to estimate the pa-rameters without using the Chinese-Japanese bilingual...

Báo cáo khoa học: "Joint Inference of Named Entity Recognition and Normalization for Tweets" doc

... “···without you islike an iphone without apps; Lady gaga with- out her telephone···”, the labeled sequence us-ing the BILOU schema is: “···withoutOyouOisOlikeOanOiphoneU−P RODUCTwithoutOappsO;LadyB−P ... connected with a “1” label. Note thatthere are no NEN labels for pairs like “her11” and“her12” or with 11and with 12”, since words like “her”and with are stop words. With NE type ... beginning with “#” like “”#Win” are hash tags; words starting with “@” like “@ofﬁce” represent user names; and“http://bit.ly/” is a shortened link.Given a set of tweets, e.g., tweets within some...

Báo cáo khoa học: "A Bilingual Concordancer for Domain-Specific Computer Assisted Translation" potx

... web-based bilingual concordancer, DOMCAT1, for domain-specific computer assisted translation. Given a multi-word expression as a query, the system involves retrieving sentence pairs from a bilingual ... measures and coverage rate respectively. 1 Introduction A bilingual concordancer is a tool that can retrieve aligned sentence pairs in a parallel corpus whose source sentences contain the query ... equivalents, translation spotting, is the most challenging part of a bilingual concordancer. Recently, most of the existing bilingual concordancers spot translation equivalents in terms of word...

Báo cáo khoa học: "Joint Identiﬁcation and Segmentation of Domain-Speciﬁc Dialogue Acts for Conversational Dialogue Systems" doc

... anyutterances with multiple dialogue acts. This makes itpossible to create new conversational dialogue sys-tem scenarios that allow and encourage users to ex-press themselves with fewer restrictions, without ... average number of words in utterances with only a single dialogue act is 7.5 (with a maximumof 34, and minimum of 1), and the average length ofutterances with multiple dialogue acts is 15.7 (max-imum ... time in milliseconds of the classiﬁer with respect to the number of words in the input text.identiﬁes multiple speech acts, but without segmen-tation, and with lower F-score. Figure 1 shows theexecution...

Xem thêm