[PDF] Top 20 An Evaluation Corpus For Temporal Summarization

... draft dvi An Evaluation Corpus For Temporal Summarization Vikash Khandelwal, Rahul Gupta, and James Allan Center for Intelligent Information Retrieval Department of Computer Science University of Mass[.] ... See full document

... multi-document summarization in English correlation among mea- sures that use human models (Pyramids, Respon- siveness, and ROUGE) and a measure that does not use models (the Jensen Shannon divergence) is ...for ... See full document

... Joakim Nivre, Marie-Catherine de Marneffe, Filip Gin- ter, Yoav Goldberg, Jan Hajic, Christopher D. Man- ning, Ryan McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, and Daniel Zeman. 2016. Universal ... See full document

... The only violation types that do not achieve meaningful correlations to the summary-level Readability score or only coefficients on small magnitude in the linear model are in- definite NPs with previous references ... See full document

... logue summarization task have been discussed in the literature with regard to AMI meeting cor- pus (McCowan et ...the corpus has a low number of sum- maries (for 141 dialogues), Goo and Chen (2018) proposed ... See full document

... Monday, June 20, 2011 continued Temporal Evaluation Naushad UzZaman and James Allen A Corpus for Modeling Morpho-Syntactic Agreement in Arabic: Gender, Number and Rationality Sarah Alkuh[r] ... See full document

... blog summarization. In an empirical evaluation using well-known state-of-the-art summarization systems, we show that live blogs corpus poses new challenges in the field of ...the corpus ... See full document

... TSC-3 corpus contains human selected ex- tracts for 30 different ...TSC corpus the extracted sentences are not ordered to make a readable ...TSC-3 corpus by ... See full document

... Trans-Temporal Summarization (ETTS), which generates news timelines from massive data on the ...uments. Evaluation results in ROUGE metrics indicate the effectiveness of the proposed ap- proach based ... See full document

... in summarization, the Rhetorical Structure Theory (RST)( Mann, ...annotated corpus is mainly used for machine learning to learn patterns for extracting important information from text as well as for the ... See full document

... TDT is a research program that focuses on event-based news organization. It splits the incoming news stream into a list of topics where each topic is a set of news stories that are strongly related by some seminal ... See full document

... multi-document summarization has focused on newswire corpora since the early ...hMDS corpus for multi-document summarization, which contains heterogeneous source documents from multiple text genres, ... See full document

... might be interested in retrieving news articles that discuss certain events which happened in a given time period, for example articles discussing car bombings in the 1990s. The user might not only be interested in ... See full document

... for evaluation (Morris et ...this evaluation is ...question-answering evaluation, ...this evaluation is in- spired by TIPSTER SUMMAC’s QA track (Mani et ... See full document

... PyrEval outperforms previous automated pyramid methods in accuracy, efficiency, score normaliza- tion, and interpretability. It correlates with man- ual pyramid better than ROUGE on a new dataset of student summaries, ... See full document

... We use Heideltime, a rule-based system that uses sets of regular expressions, to extract explicit time expressions in the article and normalize them (Str¨otgen and Gertz, 2010). Events that occur be- tween each ... See full document

... recent corpus annotation efforts cover a wide variety of semantic structures, work on temporal and causal relations is still in its early ...either temporal relations or causal relations, but not ... See full document

... Table 4 reports on the results for the event pairs identification subtask. The mismatch between the number of crowd relations in Table 3 and that of the crowd pairs in Table 4 is due to the fact that in some cases both ... See full document

... A content anatomy approach is an emerging research area in Content mining. In this approach, content anatomy approach defines a task called topic anatomy. Topic anatomy summarizes and associates the core parts of a topic ... See full document

... LIST OF TABLES 2.1 Kano’s evaluation table Berger et al, 1993 19 2.2 Summarization of the researched of customer satisfaction 25 2.3 Summarization of the researched of SERVQUAL 27 2.4 Su[r] ... See full document