... 15.2.2 Open -Domain Class AttributesThe labeled classes of instances collected automat-ically from Web documents are passed as inputto phase (2) from Figure 1, which acquires class attributes ... Extraction from Documents and Queries2.1 Open -Domain Labeled Classes of InstancesFigure 1 provides an overview of how Web docu-ments and queries are used together to acquire open- domain, labeled classes ... extraction of class instances, class labels and class attributes from Webdocuments and query logsstudy in attribute extraction reports results on a setof 40 manually-assembled classes, and...
... frequencies range from 8 to31,710.Our target classification is based on semantic in-tuitions, not on our knowledge of the syntactic be-haviour. As an extreme example, the semantic class Support ... made in the r featuregroup.zustellen in cluster (n) represents a singleton Inducing German Semantic Verb Classes from Purely Syntactic Subcategorisation InformationSabine Schulte im WaldeInstitut ... task of inducingsemantic classesfor German verbs. Using probabilitydistributions over verb subcategorisationframes, we obtained an intuitively plausi-ble clustering of 57 verbs into 14 classes.The...
... disambiguation performed within ourframework.3.1 Hyponym ClassificationOur classifier for the hypernym relation is derived from the “hypernym-only” classifier described in(Snow et al., 2005). The features ... logistic regression, predicting the noun-pairhypernymy label from WordNet from the featurevector of lexico-syntactic patterns.The hypernym classifier described above pre-dicts the probability of ... for learning coordinate terms based on(m, n)-cousin classification. The model’s abilityto integrate heterogeneous evidence from differentclassifiers offers a solution to the key problem ofchoosing...
... releasefactor middle domain (or domain 2); minidomain, residues 329–372 of human eRF1; N -domain, eukaryotic class 1 polypeptide chain releasefactor N-terminal domain (or domain 1); NMD, nonsense-mediated ... insightsinto the possible role of the C -domain in the process of translation termi-nation.AbbreviationsC -domain, C-terminal domain (or domain 3) of class 1 polypeptide chain release factor; ... separated domains,each of which can be assigned a specific function. TheN-terminal domain (N -domain) is involved in the rec-ognition of the stop codon [1,5,6]. The middle domain (M -domain) catalyzes...
... will be intensified in a domain- specific concordancer because the queries are usually domain- specific terms, which are mostly multi-word low-frequency terms and semantically non-compositional ... 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 corpus, identifying ... These characteristics are especially important for a domain- specific bilingual concordancer to spot translation pairs of low-frequency and semantically non-compositional terms. The remainder...
... modeling Semantic class construction word item (word or phrase) document RASC topic semantic class Table 3. The mapping from the concepts in topic modeling to those in semanticclass construction ... semantic class. In addition, the items in each semantic class need to be properly ordered. Thus main operations include, 1) Merge semantic classes 2) Sort the items in each semanticclass Now ... phrases by organizing them into semantic classes. For example, {red, white, black…} is a semanticclass consisting of color instances. A popular way for semanticclass dis-covery is pattern-based...
... approaches can automatically learn semantic patterns fromdomain corpora by applying statistical methods. The corpora have to be annotated with domain- specific knowledge (e.g., events). Then, ... meaningful semantic pat-terns, such as <lost, parents>, have to be extracted. In this work, we present a text mining framework capable of inducing variable-length semantic patterns from unannotated ... set, of which 39 sentences contain a semantic pattern of length two, 21 sen-tences contain a semantic pattern of length three, and 9 sentences contain a semantic pattern of length four. The...
... was different from what she said. By tellingsomeone what you heard, you are helping avoid confusion.GETTING THE MOST FROM A CLASS DISCUSSION GROUP113• A reporter tells the class what the ... GETTING THE MOST FROM A CLASS DISCUSSION GROUP115If you’re confused by what someone said, say what you thought youheard ... are. The more you speak, the less nervous you’ll be. Goback to Chapter 13, “Getting the Most fromClass Participation,” for tipson overcoming stage fright when you speak in your group.Keep...