Báo cáo khoa học: "Constructing Semantic Space Models from Parsed Corpora" potx

... into vector-based models. In this view, the semantic space is constructed from words that bear a syntactic relationship to the target word of in- terest. This makes semantic spaces more flexible, different ... cases semantically unrelated. This limits the application of semantic space models for NLP tasks which re- quire distinguishing between lexical relations. In this paper we...

Ngày tải lên: 17/03/2014, 06:20

... July 2010. c 2010 Association for Computational Linguistics Learning Lexicalized Reordering Models from Reordering Graphs Jinsong Su, Yang Liu, Yajuan L ¨ u, Haitao Mi, Qun Liu Key Laboratory ... China {sujinsong,yliu,lvyajuan,htmi,liuqun}@ict.ac.cn Abstract Lexicalized reordering models play a crucial role in phrase-based translation systems. They are usually learned from the word-a...

Ngày tải lên: 23/03/2014, 16:20

... approaches rang- ing from statistical word space models to symbolic grammar formalisms. 1 Introduction In computational linguistics and information re- trieval, Vector Space Models (Salton et al., ... linguistic models are sub- sumed by this general idea ranging from purely symbolic approaches (like type systems and cate- gorial grammars) to rather statistical models (like vec...

Ngày tải lên: 07/03/2014, 22:20

... we used our general corpora to produce three different models: GSLCLM from the GSLC corpus, NewsLM from the newspaper corpus and DomNewsLM from the domain adapted newspaper Corpus. 3.1 Interpolating ... trigram language models we used the SRI language modelling toolkit (Stol- cke, 2002) with Good-Turing discounting. The first model was generated directly from the MP3 corpus we got...

Ngày tải lên: 22/02/2014, 02:20

... the feature space, we suspected that including these features would also benefit from algorithmic means of se- lecting n-grams that are indicative of particular lects, and even from binning ... syntactic patterns of expressions on how to de- termine the polarity from its lexical components. McDonald et al studied models that classify senti- ment on multiple levels of granularity:...

Ngày tải lên: 07/03/2014, 22:20

... vector -space models have serious lim- itations, however: While semantic information is typically encoded in phrases and sentences, distri- butional semantics, in sharp contrast to logic-based semantics, ... vec- tor space, we consider only a subset of the complete set of dependency triples extracted from the parsed Gigaword corpus. We experimented with various strategies, and found...

Ngày tải lên: 07/03/2014, 22:20

... Benchmarks Word space benchmarks assess the semantic con- tent of the space through analyzing the geomet- ric properties of the space itself. Currently used benchmarks assess the semantics by inspecting ... information on the algorithms, code documentation and mailing list archives. 2 Word Space Models Word space models are based on the contextual distribution in which a word...

Ngày tải lên: 17/03/2014, 00:20

... such models can be combined during the decoding. Given a number of translation models which are already trained and tuned, the ensemble decoder uses hypotheses constructed from all of the models in ... Product models can also make use of weights to control the contri- bution of each component. These models are 942 Figure 1: The cells in the CKY chart are populated using rules fro...

Ngày tải lên: 19/02/2014, 19:20

... feature space beyond pure lex- ical match through phrase table entries, our model builds on two additional feature sets, derived from i) semantic phrase tables, and ii) dependency relations. Semantic ... checking for entailment both from left to right and from right to left. In this condi- tion, each original test example is correctly clas- sified if both pairs originated from it...

Ngày tải lên: 19/02/2014, 19:20

... syntactic and semantic features could provide clues to the semantic role label of a constituent, non- local features such as predicate voice could provide information about the expected semantic role ... ordering. 1 Introduction Unsupervised semantic role induction has gained significant interest recently (Lang and Lapata, 2011b) due to limited amounts of annotated corpora. A Semantic...

Ngày tải lên: 19/02/2014, 19:20