Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose a general framework based on probabilistic inference to extract such context information from scientific papers. We model the sentences in an article and their lexical similarities as a Markov Random Field tuned to detect the patterns that context data create, and employ a Belief Propagation mechanism to detect likely context sentences. . | Identifying Non-explicit Citing Sentences for Citation-based Summarization Vahed Qazvinian Department of EECS University of Michigan Ann Arbor MI vahed@umich.edu Dragomir R. Radev Department of EECS and School of Information University of Michigan Ann Arbor MI radev@umich.edu Abstract Identifying background context information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper we propose a general framework based on probabilistic inference to extract such context information from scientific papers. We model the sentences in an article and their lexical similarities as a Markov Random Field tuned to detect the patterns that context data create and employ a Belief Propagation mechanism to detect likely context sentences. We also address the problem of generating surveys of scientific papers. Our experiments show greater pyramid scores for surveys generated using such context information rather than citation sentences alone. 1 Introduction In scientific literature scholars use citations to refer to external sources. These secondary sources are essential in comprehending the new research. Previous work has shown the importance of citations in scientific domains and indicated that citations include survey-worthy information Sid-dharthan and Teufel 2007 Elkiss et al. 2008 Qazvinian and Radev 2008 Mohammad et al. 2009 Mei and Zhai 2008 . A citation to a paper in a scientific article may contain explicit information about the cited research. The following example is an excerpt from a CoNLL paper1 that contains information about Eisner s work on bottom-up parsers and the notion of span in parsing Another use of bottom-up is due to Eisner 1996 who introduced the notion of a span. Buchholz and Marsi CoNLL-X Shared Task On Multilingual Dependency Parsing CoNLL 2006 However the citation to a paper may not always include explicit information about the cited paper This approach is one of those described in .
