... more traininginstances by collecting instances for fine-grained roles. Thus, semanticroles with few training in- stances are expected to receive additional cluesfrom other training instances ... training. In contrast, in Table 6,we used all types of coreness for training, but computed theperformance of semanticroles for each coreness separately.25groupings of roles together in the ... general-izing semanticrolesin FrameNet. They were:role hierarchy, human-understandable descriptorsof roles, semantic types of filler phrases, andmappings from FrameNetroles to thematic roles of...
... word in italics.3 Semantic Entities in FrameNet The semantic annotation inFrameNet consists ofa set of layers. One of the layers defines the tar-get, and the other layers provide additional infor-mation ... slot fillinginformation for nouns and adjectives.• The “Other” layer, containing special casessuch as null arguments.The semantic entities that we consider in thisarticle are defined in the ... argument) of anotherpredicate in the sentence: cling on. In FrameNet, such predicates are annotated using the GOV la-bel. The constituent that contains the slot filler in question is called (for...
... http://webbaohiem.netBROKER’S ROLES IN INSURANCE MARKETOverviewInsurance Market in Vietnam is developing with the economy. With the flow of foreign investment, a number of foreign insurance companies were granted business ... sprinkler systems, or extra security on windows and doors. In commercial premises. It might involve safer working practices within the factory or more staff training in safety, or even practise fire ... difference and prevents costly mistakes.Insurance brokers are specialists in insurance protection. They are independent, have an in- depth working knowledge of the insurance market, are able to provide...
... thatincludes a DNA-binding domain, a ligand-bindingdomain and a transactivation domain. The DNA-bind-ing domain is responsible for DNA binding specificityand dimerization, and the ligand-binding ... domain involved in protein–protein interactions. FYRC andFYRN domains are involved in heterodimerization between MLLNand MLLCterminal fragments. High-mobility group (HMG) domains areinvolved ... selective and inde-pendent roles within the hematopoietic system, main-taining quiescence in HSCs and promoting proliferation in progenitors [23]. Similarly, in an independent studyusing a conditional...
... ⁄ LEDGF-interactingdomain linked to DNA-binding domains (AT-hook andMT domain) becomes disconnected from the PHDdomains, the FYRN domain, the transactivatingdomain, the FYRC domain and the ... denominator in alldifferent MLL rearrangements is disruption of the MLLprotein in a region that prevents any subsequent pro-tein–protein interaction between the resulting MLLfusion proteins. ... protein-binding platformfor several other proteins to initiate a fundamental cel-lular process. P-TEFb binds to the N-terminal portionof AF4, whereas the C-terminal portion of AF4 con-fers binding...
... binding profiles in a time-dependentmanner in ERE1 and ERE2 (Fig. 5B). In agreementwith the above findings, binding of ERa and ERb wasincreased in both ERE1 and ERE2 in the presence ofE2. Interestingly, ... However, in the case ofERb, some constitutive binding was observed in ERE2even in the absence of E2, and this binding wasincreased in the presence of E2 (Fig. 5A,B; compare0 h and 6–8 h time points). ... are well known to bind directly to the EREs ofthe E2-responsive genes via their DNA-bindingdomains. MLLs (MLL1–MLL4) also have DNA-binding domains that might be involved in directA Expression...
... not included in the evaluation results re-ported in this paper. 3 Aligning arguments to parse trees nodes in a training / testing corpus We began our investigation by creating a training ... constitu-ency parsing (as exemplified in Figure 1) with dependency parsing, specifically the Minipar system built by Lin (1998). Minipar is increas-ingly being used in semantics-based nlp ... ate:eat,V,i↓He:he,N,s Minipar B: A second parse tree path encoding was generated from Minipar parses that relaxes some of the constraints used in Minpar A. In- stead of using all the information contained at...
... Jurafsky. 2003. Semantic role parsing: Adding semantic structure to unstructuredtext. In Proceedings of the InternationalConference on Data Mining (ICDM-2003),Melbourne, FL.Computational Linguistics ... available, depending on how strongly the instrument isincorporated into the verb. Kick, for example, shows 28 instances in the treebank butonly one instance of a (somewhat marginal) instrument:(23) ... Michael. 2000. Discriminativereranking for natural language parsing. In Proceedings of the InternationalConference on Machine Learning (ICML),Stanford, CA.Dang, Hoa Trang, Karin Kipper, MarthaPalmer,...
... for training and testing. The combined totalnumber of sentential contexts for our 453 NCs was7,714, containing 1,165 distinct main verbs.We next randomly split the NC data into 80%training data ... Baldwin and Takaaki Tanaka. 2004. Transla-tion by machine of compound nominals: Getting it right. In In Proceedings of the ACL 2004 Workshop on Multi-word Expressions: Integrating Processing, ... disambiguation. In Proceedings of the FourthInternational Conference on Intelligent Text Processingand Computational Linguistics.Siddharth Patwardhan. 2003. Incorporating dictionary andcorpus information...
... t)SNPPRPVPVBDNPSBAR IN SNNPVPVBDNPPPPRP IN NPNNGoal SourceTheme TargetNPHe heardthe sound of liquid slurping in a metal containeras approached him from behindFarrell
... expanded into:QUERY(Q209): paper AND clip AND (invented ORinventor OR invent OR invents)2. Lexical Alternations. WordNet encodes awealth of semantic information that is easilymined. Seven ... 2000.Claire Cardie, Vincent Ng, David Pierce,Chris Buckley. Ex-amining the role of statistical and linguistic knowledgesources in a general-knowledge que stion answering sys-tem. In Proceedings of the ... with Open-Domain Textual Question Answer-ing. In the Proceedings of the 18th International Con-ference on Computational Linguistics (COLING-2000),pages 292–298, 2000.Frederick Jelinek, John...
... Capturing Language Specific Constraints on Lexi- cal Selection with Feature-Based Lexicalized Tree- Adjoining Grammars. in Proceedings of the Inter- national Conference on Chinese Computing Sin- ... translation links (Tlinks), whereas truly multilingual lexicons, as defined by (Cahill and Gazdar, 1995), involve n 4- 1 hierar- chies, thus involving an additional abstract hierarchy containing information ... meanings in context (e.g., "se tenir" ~ PsVertical). In other words, WYSINNWYG helps not only in sense selection but also in sense modulation. Further research involves investigating...
... adjoining grammars. In Proceedings of the 13th International Conference on Compu- tational Linguistics (COLING '90), Helsinki, Fin- land, August. Stuart M. Shieber. 1994. Restricting ... machine translation. In Proceedings of the 13th International Conference on Coraputatio'nal Linguistics (COLING '90), Helsinki, Finland, Au- gust. Marie-Helene Candito and Sylvain ... synchronous tree adjoin- ing grammars. Computational Intelligence, 10(4). K. Vijay-Shanker and D.J. Weir. 1993. The use of shared forests in tree adjoining grammar parsing. In Proceedings of EA CL...
... syntax/semantics interface – it specifieswhich node in the tree provides the value for whichvariable in the final semantic representation.As trees combine during derivation, two thingshappen: ... property) and returning a pro-position. Using a flat semantics, this intuition canbe captured by having adjectives binding both anindividual and a label variable. Thus in Fig. 4, theadjective ... based Semantics for LTAG. In M. Buttand T. Holloway King, editors, Proceedings of theLFG01 Conference, Hong Kong.B.A. Hockey and H. Mateyak. 2000. Determining De-terminer Sequencing: A...
... multilingual learning for morphological segmen-tation. In ACL.Benjamin Snyder and Regina Barzilay. 2010. Climbingthe tower of Babel: Unsupervised multilingual learn-ing. In ICML.Benjamin Snyder, ... Eisenstein, andRegina Barzilay. 2008. Unsupervised multilinguallearning for POS tagging. In EMNLP.Benjamin Snyder, Tahira Naseem, and Regina Barzilay.2009. Unsupervised multilingual grammar induction. In ... andthe existing work on injecting prior and side infor-mation in learning objectives in the form of con-straints (McCallum et al., 2007; Ganchev et al.,2010; Chang et al., 2007). In order to...