By Manuela Angioni, Emanuela De Vita (auth.), Vincenzo Pallotta, Alessandro Soro, Eloisa Vargiu (eds.)
This quantity includes revised and prolonged types of papers offered on the 4th variation of the overseas workshop on allotted and Agent-based Retrieval Toos (DART'10) held in June 2010, along with the Symposium on Human Language know-how for the knowledge Society, in Geneva, Swizerland. Practitioners and researchers engaged on pervasive and clever entry to internet providers and allotted info retrieval met to percentage their effects and insights in interesting and difficult issues reminiscent of: (i) social media and collaboration, (ii) new demanding situations in seek expertise, (iii) sentiment research and opinion mining, (iv) disbursed details retrieval, (v) pervasive intelligence. each bankruptcy, ahead of discussing intensive the explicit subject, offers a entire overview of similar paintings and cutting-edge, within the desire of this quantity to be of use within the future years, to either researchers and students.
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Extra resources for Advances in Distributed Agent-Based Retrieval Tools
This entity is common to several sentences of the same paragraph and it represents a potential topic candidate. The correct identification of the coreference relations is a difficult task. Coreference relations are identified by searching valid pairs of antecedent and anaphora candidates. The candidate pairs should verify several morpho-syntactic or semantic constraints (Grosz et al. 1995), (Beaver 2004). To find these candidate pairs, the existing systems either apply manually defined heuristic rules (which select the most suitable candidates for a given anaphor) or rules learned from annotated corpora.
1 For example, SemEval 2010 task#1 Coreference Resolution in Multiple Languages campaign provides training data for different languages except French. RefGen: Identifying Reference Chains to Detect Topics 29 The paper is organised as follows. In section 2 we present the architecture of our topic detection system. In section 3 we explain the reference relation we process. In section 4 we describe the RefGen architecture, the genre-dependent parameters used to identify chains, the corpus analysis, the annotation scheme adopted and the reference identification algorithm (CalcRef).
In addition, the first element of the chain is the sentence topic for 80 % of the occurrences for the newspapers and only for 40 % for the public reports. This last criterion is used to know if we could gather the reference chains containing the same sentence topic (coreferent coreference chains (Schnedecker 1997)) to identify the document topic. ), used to configure RefGen according to the genre. corpus criteria Length of chain Distance between Newspapers Editorials Laws Novel Public reports 4 3,7 3 9 3,4 0,8 0,9 0,6 0,4 1,1 Proper noun Complete NP Indefinite NP Indefinite NP Definite NP 30% proper 50% definite 40% indefinite 36% pronoun noun NP NP 80% 100% 60% mentions Grammatical class of the 1st mention F of mentions Identity theme -1st - 33% pronoun - 33% definite NP 60% 40% mention Fig.