[PDF] Top 20 Keyphrase Generation with Correlation Constraints

... The former group extracts important keyphrases in a document which consists of two phases. The first phase is to construct a set of phrase candidates with heuristic methods, such as extracting impor- tant n-grams (Hulth, ... See full document

... Automatic keyphrase prediction recommends a set of representative phrases that are related to the main topics discussed in a document (Liu et al., 2009). Since keyphrases can provide a high-level topic description ... See full document

... To predict both present and absent keyphrases for a document, Meng et al. (2017) proposed a generative model, CopyRNN, which is composed of an attentional encoder-decoder model (Bah- danau et al., 2014) and a copy ... See full document

... lem that combines TF×IDF and position features in an objective function subject to constraints of coherence and coverage. In their model, coher- ence is measured by Mutual Information and cov- erage is estimated ... See full document

... The unsupervised approaches for keyphrase ex- traction proposed so far have involved a number of techniques, including language modeling (e.g., Tomokiyo and Hurst (2003)), graph-based rank- ing (e.g., Zha (2002), ... See full document

... terms, a motif is a small subsequence, highly con- served through evolution. From the computer sci- ence standpoint, a motif is a fixed-order pattern, simply because it is a subsequence. The problem of detecting such ... See full document

... We design the following research plans: (1) The number of topics in TWTM requires be- ing pre-defined by users. We plan to incorporate Bayes Nonparametric (Blei et al., 2010) for TWTM to automatically learn the number of ... See full document

... D. Anirudha Nanda [4], proposes a general solution for the timetabling problem. Most heuristic proposed previous approaches the difficulties from the students‟ point of view. This solution, however, works from the ... See full document

... i) Dependency parsing: Some of the keyphrases are multiword. So relationship of verb with subject or object is to be identified through dependency parsing and thus used as a feature. ii) POS feature: The Part of Speech ... See full document

... Lerner et al. (2011) examined the participation rates in and correlates of physical activity with other variables (motivations and barriers) among 532 students in colleges within Ireland. Using interviews to evaluate the ... See full document

... We also computed the topic coverage of the sets of keyphrases extracted by our model. With over 92% of the top-10 keyphrases assigned to different topics, our model successfully promotes diversity without the need of ... See full document

... These constraints limit the production of the generators and, consequently, their ...environmental constraints affect their profits in a coupled constraints ... See full document

... The Porter (1980) and Lovins (1968) stemming algorithms are the two most popular algorithms for stemming English words. Both algorithms use heuristic rules to remove or transform English suffixes. The Lovins stemmer is ... See full document

... The studies carried out for this report make use of Matpower’s AC OPF function. This carries out an optimisation of dispatchable generation against an objective function, which in these studies represents the ... See full document

... event correlation is the primary component and it is targeted at the analysis of Intrusion Detection System (IDS) ...event correlation, IDS alerts can be grouped into high-level structures called ... See full document

... This paper has described Task 5 of the Workshop on Semantic Evaluation 2010 (SemEval-2010), fo- cusing on keyphrase extraction. We outlined the design of the datasets used in the shared task and the evaluation ... See full document

... target keyphrase translation, we applied heuristics that range from the validation of the correctness of keyphrase constructs to the handling of inflectional ... See full document

... Previously in software evolution, not much work in change propagation research focuses on agent-oriented software engineering, particularly in the development of agent designs. In the context of agent-oriented, once the ... See full document

... In this paper, we experimented with various un- supervised, supervised, deep supervised and ab- stractive text summarization models for predict- ing keyphrases of scientific articles. To the best of our knowledge, this ... See full document

... and Generation. Early work mostly focuses on the keyphrase extrac- tion task, and a two-step strategy is typically ...2010). Keyphrase generation is ... See full document