Paper: Going beyond sentences when applying tree kernels

ACL ID P14-3008
Title Going beyond sentences when applying tree kernels
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We go beyond the level of individual sentences applying parse tree kernels to paragraphs. We build a set of extended trees for a paragraph of text from the in- dividual parse trees for sentences and learn short texts such as search results and social profile postings to take ad- vantage of additional discourse-related information. Extension is based on coref- erences and rhetoric structure relations between the phrases in different sentenc- es. We evaluate our approach, tracking relevance classification improvement for multi-sentence search task. The search problem is formulated as classification of search results into the classes of relevant and irrelevant, learning from the Bing search results. We compare performances of individual sentence kernels with the ones for extend...