... automatic method to createa thesaurus that is sensitive to the sentiment ofwords expressed in different domains.• We describe a method to use the created the-saurus to expand feature vectors ... vector d ∈ RN, where thevalue of the j-th element djis set to the total numberof occurrences of the unigram or bigram wjin thereview d. To find the suitable candidates to expand avector ... excellent and deliciousare positive sentiment words, then we can use this knowledge to expand a feature vector that containsthe word delicious using the word excellent, therebyreducing the mismatch...
... marketer’s job to tell people a story they want to hear. Page 6 of 30 It’s up to you whether your story is a complete fabrication. I tend to lean aggressively toward complete ... about a niche topic that wants to increase traffic, use humor to their benefit? The first rgood sense of humor is a wonderful asset, it’s all too easy to offend those you’re trying to attract. ... reference to dropping turkeys out of a helicopter. Others got it and smiled. Page 20 of 30 According to Wikipedia, a scoop: is a colloquial term to refer to a news story (especially...
... relationships and bringing all available resources and agents to the table to find solutions and forge partnerships in order to procure all elements essential to a high quality, comprehensive, integrated ... strengthens human resources capacity in two sectors for a marginal cost increase, as demonstrated in Haiti with syphilis and HIV testing training.6+ 7 Integrating new HIV services into the existing ... Relief (PEPFAR) to use limited resources to leverage other key programs and strengthen the MNCH platform in each PEPFAR country through Partnership Frameworks. In so doing, PEPFAR aims to strengthen...
... glutathione to numerous potentially genotoxic compounds [50]. Indivi-duals with the deletion of GSTM1 or GS TT1 have beenshown to reduce GST activity and thus may be unable to eliminate toxins as ... examinations, laboratory tests, collection ofmedical history, social status information, and adminis-tration of questionnaires on smoking history, foodintake and other factors that may influence ... MALDI-TOF mass spectro-meter (Sequonom, CA, USA) with semiautomated pri-mer design (SpectroDESIGNER, Sequenom) andimplementation of the very short extension method[45]. Assays failing to multiplex...
... few words or only one word, which is called an atom word group, an atom class or an atom node. The words in the same atom node hold the smallest semantic dis-tance. From the root node to ... revised to meet this de-mand. Extended Version of TongYiCiCiLin To extend the TongYiCiCiLin (Cilin) to hold more words, several linguistic resources are adopted for manually adding new words. ... ambiguous word need to simulate the function of the real ambiguous word, and to acquire semantic knowledge as the real ambiguous word does. Thus, we call it an equivalent pseudoword (EP)...
... (hereafter referred to as the WordNetsimilarity measure) to weight the contribution thateach neighbour makes to the various senses of thetarget word. To find the first sense of a word ( ) wetake ... BNC, butthe first senses of words like division and goal shifttowards the more specific senses (league and scorerespectively). Moreover, the chosen senses of the word tie proved to be a textbook ... data to automatically find a predominant sense for nounsin WordNet. We use an automatically acquired the-saurus and a WordNet Similarity measure. The au-tomatically acquired predominant senses...
... 2003).The solution of word sense learning is closely re-lated to the interpretation of word senses. Differentinterpretations of wordsenses result in different so-lutions toword sense learning.One ... manuallycompiled lexical resources. However these lexicalresources often miss domain specific word senses, even many new words are not included inside.Learning wordsenses from free text will ... corresponds toword wj, then the entry speci-fied by i-th row and j-th column records the numberof times that word wioccurs close to wjin corpus.We use v(wi) to represent the word vector of...
... certaincontext. This gives rise to an automatic, unsuper-vised word sense disambiguation algorithm whichis trained on the data to be disambiguated.The ability to map senses into a taxonomy usingthe ... any set of features.1Si mple cutoff functions proved unsatisfactory because ofthe bias they give to more frequent words. Instead we linkeach wordto its top n neighbors where n can be determinedby ... to automaticallyconstruct corpus-based taxonomies or to tune ex-isting ones. The same corpus evidence which sup-ports a clustering of an ambiguous word into dis-tinct senses can be used to...
... Senseval-5Recently, Princeton University released a richer corpusof disambiguated glosses, namely the “Princeton WordNetGloss Corpus” (http://wordnet.princeton.edu).However, in order to allow for a comparison ... randomly selecting 1,000 wordsenses fromthe dictionary and annotating the content words intheir glosses according to the dictionary sense in-ventory. Overall, 2,678 words were sense tagged.The ... part-of-speech-tagged ambiguous content words in the gloss ofsense s from our reference dictionary.WordNet. When using WordNet as a referenceresource, given a sense s whose gloss we aim to disambiguate, the dictionary...
... to a typical character sequence.3.4 Character- and word- based featuresAs studied in previous work, word- based featuretemplates usually include the word itself, sub-wordscontained in the word, ... features are incorporatedinto word- based CWS models, some word- basedfeatures are no longer of interest, such as the start-ing character of a word, sub-words contained inthe word, contextual characters ... i.e.all tag types that are assigned to the word in trainingdata. Furthermore, we approximate unknown wordsin testing data by rare words in training data. Fora word that occurs less than 5 times...
... annota-tors, rather than training annotators to conform to a common sense distinction guideline. By askingannotators to provide ratings for each individualsense, we strive to eliminate all bias towards ... data.WSsim is a word sense annotation task usingWordNet senses. 5Unlike previous word sense an-notation projects, we asked annotators to providejudgments on the applicability of every WordNetsense ... should be possi-ble to use existing sense-annotated data to explorethis question: almost all sense annotation effortshave allowed annotators to assign multiplesenses to a single occurrence,...
... relatedbecause of their timing). These top-level discourserelation senses are general enough to be annotatedwith high inter-annotator agreement and are com-mon to most theories of discourse.2.2 ... treewhich dominates the words in the connective butnothing else. For single word connectives, thismight correspond to the POS tag of the word, how-ever for multi -word connectives it will ... 2008. Using automat-ically labelled examples to classify rhetorical rela-tions: An assessment. Natural Language Engineer-ing, 14:369–416.B. Wellner and J. Pustejovsky. 2007. Automaticallyidentifying...
... Kana -to- Kanji conversion system consist of two kinds: (1) idiomatic expressions, whose meanings seem to be difficult to compose from the typical meaning of the individual compo- nent words ... results of e-bunsetsu-segmentation: , hitoh.a/kigqkikunikositagotol, taarimasen (there is nothing like being watchful) hitohdv'Mga/Idkimi/ko3itcv;kotoha/arimasen In the above examples, ... its evaluation by the cost. 3.1 Prototype System A We first developed a prototype Kana -to- Kanji con- version system which we call System A, revising Kana -to- Kanji conversion software on the...
... adjectives to con- sider what its head noun denotes in the sentence (Bouillon, 1996). Also, when we analyze word mean- ings, it is important to take both context and our world knowledge into account ... adver- bial form should apply to the semantics of the common noun, 494 Lexical Semantics toDisambiguate Polysemous Phenomena of Japanese Adnominal Constituents Hitoshi Isahara and Kyoko Kanzaki ... definition which can con- tain/represent/embody/refer to various items. (b) Fi~IC~Z (junsui_na, pure)J works to constrain this number to one. Extending the Generative Lexicon format, some-...
... short term objective is to enlarge the dictionary to 1000 words. A concept editor has been developed to facilitate this task. The editor also allows to visualize, for each word- sense, a list ... approach to represent word- senses. As discussed later, the latter seems not to provide sufficient information to analyze m~t trivial sentences. To make a clear distinction between word- sense ... word- sense definition really includes some other; each word has it own specific uses and only partially overlap with other words. The conclusion id that is not possible to arrange word- senses...