Rerank n-best parse trees from Bikel's implementation of Collins parser ... MaxEnt reranking of parse tree list, using features from base SRL frame ...
Extract translation phrase-pairs (based on word-alignment heuristics) ... For Chinese-English 80 million words corpus: 12 million unique phrase-pairs are extracted. ...
VC. VA. III. Methodology - Learning a latent space graph. A. NxM. NxL ... Statistics of the 15-CONF collection. 19. Hongbo Deng, Michael R. Lyu and Irwin King ...
Substantial improvements can be gained by applying a strong postprocessing ... Indicating the nominative case re often omitted while possessive case are rarely ...
Parser available at http://nlp.cs.berkeley.edu To conclude, ... The dynamic programming results are significantly better than the reranking results, ...
Review of : Yoav Freund, and Robert E. Schapire, 'A Short Introduction to ... Michael Collins, Discriminative Reranking for Natural Language Parsing, ICML 2000 ...
Gabriel Murray, Steve Renals, Jean Carletta, 'Extractive Summarization of ... Jaime Carbonell, Jade Goldstein, 'The Use of MMR, Diversity-Based Reranking for ...
... for Statistical Parsing, Michael Collins, Proceedings of the 35th ... Discriminative Reranking for Natural Language Parsing, Michael Collins, ICML (2000) ...
The source of all systematic cross-linguistic variation is constraint reranking. ... The grammatical inventories of a language are ... Coolest prediction ever! ...
'An effective method of producing an accurate prediction rule from ... Discriminative reranking for natural language parsing.2000. Escudero, Marquez, Rigau. ...
... use syntactic information in reranking ... To explicitly use syntactic information to measure the quality ... tony. blair. NPBNNP_NNP. 14. Data Structure ...
Rerank results based on user's clickthrough and browsing history. Collaborative filtering ... Rerank, Clickthrough Only. Promote all clicked results to the top ...
Feature 190 above fires when we tag 'its' with 'O', so this feature can only ... the entity 'University for' was essentially made when 'for' was tagged as 'I' ...
Expand with synonyms & antonyms from Wordnet. 5. WIDIT Lab, Indiana University ... Expand the seed set with synonyms & antonyms from lexical sources (AV1) ...
Manually examine the remainder to construct a LF lexicon and LF regular expressions ... Construct IU lexicon. Extract n-grams that begin/end with IU terms from ...
In this PPT we are going to discuss Artificial intelligence has revolutionized the world and how we look at things, work, communicate, and interact with technology.
High Frequency (HF) Lexicon. For each of IMDb movie & 2006 blog training data ... LF Lexicon & LF Regex. Compile a set of Low Frequency (LF) terms in the blog ...
Challenges of in silico drug discovery against neglected diseases ... several new foreseen targets on malaria, dengue and other neglected diseases. ...
9. The Wire - Breaking News from the. 10. CNNSI.com from CNN and Sports Illustrated ... 5. Data Mining News (53) 6. SPSS Data Mining : SPSS delivers the ...
Seven Lectures on Statistical Parsing. Christopher Manning. LSA ... The goal is to come up with a hypothesis with ... (on all sentences! up to 80 wd) ...
MEAD 3.09 A platform for multidocument multilingual text summarization University of Michigan, Smith College, Columbia University University of Pennsylvania, Johns ...
What airlines have Concorde in their fleets? Hyponyms (X such as Y) ... Air Zimbabwe, Alaska, Aloha, American Airlines, Angel Airlines, Ansett, Asiana, ...
From Queries and corresponding snippets from clicked documents. Training a Translation Model ... Training and Snippet Testing. III - Snippet Training and ...
... method and re-rankers has an evident effect on summary outputs ... the MEAD methods is not evidently better, especially comparing to the Random method. ...
Processing of large document collections Part 7 (Text summarization: multi-document summarization, knowledge-rich approaches, current topics) Helena Ahonen-Myka
Prof. Gerhard Weikum Julia Luxenburger. 11/3/09. 2. About me. Name: Shady Elbassuoni ... A set of user's activities (Browsing and Queries) within a certain time ...
... consider a new approach, LexRank, for computing sentence importance based on the ... that very high thresholds may lose almost all of the information in a ...
DOP deals with the all the subtrees representation explicitly like our method. Pros ... Kernels vs DOP vs Boosting. Yes. Yes, but difficult because of redundant ...
FACE ANNOTATION FOR FAMILY PHOTO ALBUM MANAGEMENT (2003) ... Leveraging Context to Resolve Identity in Photo Albums (2005) ... for family photo album management. ...
The order to choose the next source word to translate is like to choose the next ... For each source word and phrase, there are |t| translation alternatives. ...
International Institute of Information Technology (IIIT) ... Jaguar (cat /car) Lemur (animal / lemur tool kit) ... I am into biology best guess for Jaguar? ...
A Ranking Scheme for XML Information Retrieval Based on Benefit and Reading Effort Toshiyuki Shimizu (Kyoto University) Masatoshi Yoshikawa (Kyoto University)
a PCFG adequate to parse over 90% of the MIT Voyager Corpus was successful in ... Make parser action decisions discriminatively. E.g. with a shift-reduce parser ...
Karl Malone scored 39 points. Karl Malone's 39 point performance ... Karl Malone tied his season high with 39 points. 21. Current topics in text summarization ...
In what year did baseball become an offical sport? Who is the largest man in ... Compare two approaches: noisy channel model and rule-based. Sentence ranking ...
Mark Levene, An Introduction to Search Engines and Web Navigation Pearson ... Limitations of mobile devices ... Figure 8.10 : Thumbnails and detailed views ...
Idea: two different students learn from each other, incrementally, mutually improving ' ... Composite vs. Monolithic. Large parameter space vs. Small ... LTAG ...
Genetic Evaluation of Carcass Data Using Age, Weight, Fat, ... Selection Decisions Committee. May 29, 2003. Janice M. Rumph. Montana State University Bozeman ...