| Related Work | Turney (2007) measured the semantic orientation for sentiment classification using co-occurrence statistics obtained from the search engines. |
| Related Work | Besides, there are some work exploring the word-to-word co-occurrence derived from the web-scale data or a fixed size of corpus (Calvo and Gelbukh, 2004; Calvo and Gelbukh, 2006; Yates et al., 2006; Drabek and Zhou, 2000; van Noord, 2007) for PP attachment ambiguities or shallow parsing. |
| Related Work | Abekawa and Oku-mura (2006) improved Japanese dependency parsing by using the co-occurrence information derived from the results of automatic dependency parsing of large-scale corpora. |
| Web-Derived Selectional Preference Features | Co-occurrence probabilities can be calculated directly from the N- gram counts. |
| Web-Derived Selectional Preference Features | where p(“X y”) is the co-occurrence probabilities. |
| Entity Recommendation | Step 2 — Session Analysis: We build a query-entity frequency co-occurrence matrix, A, consisting of lel rows and nIEl columns, where each row corresponds to a query and each column to an entity. |
| Experimental Results | 3'Note that this co-occurrence occurs because q’ was annotated with entity 6 in the same session as q occurred. |
| Experimental Results | 5.3.1 Experimental Setup We instantiate our recommendation algorithm from Section 4.2 using session co-occurrence frequencies |