[PDF] Top 20 Exploiting Discourse Relations between Sentences for Text Clustering
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Exploiting Discourse Relations between Sentences for Text Clustering
... In text summarization, discourse relations are used to produce optimum ordering of sentences in a document, and remove redundancy from generated ...based text summarization (Zhang et ... See full document
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Exploiting Discourse Relations for Sentiment Analysis
... Chinese discourse parsing has just begun, and there isn’t a gold standard for Chinese discourse relation annotation in previous ...Chinese discourse relation hierarchy, as shown in Table ...the ... See full document
10
Data oriented Monologue to Dialogue Generation
... were text excerpts from the Wall Street Journal as annotated in the RST Dis- course Treebank 4 ...two sentences (with no internal relations) connected by a single ...the discourse annotations, ... See full document
6
A Shallow Discourse Parsing System Based On Maximum Entropy Model
... of text into a set of discourse relations between in- ter ...in discourse parsing, both as an end in itself and as an intermediate step in a variety of NLP appli- cations like question ... See full document
5
Automatically Evaluating Text Coherence Using Discourse Relations
... n-gram discourse relation transition se- quences in gold standard coherent text, and a similar one for incoherent ...above text would generate the transition bigram ...the discourse relation ... See full document
10
News clustering approach based on discourse text structure
... document clustering, it is a representation of web search results that could improve naviga- tion through relevant ...documents. Clustering snip- pets on salient phrases is described in (Zamir and Etzioni, ... See full document
5
Implicit Role Linking on Chinese Discourse: Exploiting Explicit Roles and Frame to Frame Relations
... Table 6: Performance of DNI Identification Resolution on golden Definite Null Instantiation In order to select the most effective features for OvertFE resolver and choose the best search space, we assume perfect results ... See full document
9
Discourse indicators for content selection in summarization
... of text have been proposed that do not rely on dis- ...similarity between sen- tences is used to induce graph structure (Erkan and Radev, 2004; Mihalcea and Tarau, ...the discourse graphs from the ... See full document
10
Evaluating Multiple Aspects of Coherence in Student Essays
... a discourse segment has high or low expressive quality with regard to a particular co- herence ...instance, sentences in the student’s thesis state- ment may have a strong relationship to the essay topic, ... See full document
8
A discourse based approach for Arabic question answering
... A number of studies in linguistic literature refer to Arabic DMs broadly in the course of their research while discussing other language phenomena (Wright, 1896; Fareh and Hamdan, 1999). Very few studies focused on the ... See full document
19
SoNLP DP System for ConLL 2016 English Shallow Discourse Parsing
... typical text consists of sentences glued together in a systematic way to form a coherent ...shallow discourse parsing focus on shallow discourse relations either lexi- cally grounded in ... See full document
5
A Unified Neural Coherence Model
... word of the sentence to its corresponding vector representation. We then use a bidirectional LSTM sentence encoder with explicit language model loss to capture the sentence grammar. Given the sentence representations, ... See full document
11
The SoNLP DP System in the CoNLL 2015 shared Task
... explicit discourse relations, which classify the given pair into EntRel, NoRel, or one of the Implicit/AltLex relation ...interaction between argument labeler and explicit sense classifier, ... See full document
5
Graph based Local Coherence Modeling
... of discourse relation information, as proposed in (Lin et ...when sentences contain entities related from a discourse point of view while Lin et ... See full document
11
Improving Implicit Discourse Relation Recognition Through Feature Set Optimization
... implicit relations since they lack an explicit con- nective between the text ...exists between its text span arguments as one of: C OMPARISON , C ONTIN - GENCY , E XPANSION , and T ... See full document
5
Multi Document Summarization using Fuzzy and Hierarchical Approach
... Abstract— Multi-Document Summarization is the task of extracting important information from the original text document. With the increasing amount of online information, it becomes extremely difficult for users to ... See full document
5
Towards the Unsupervised Acquisition of Discourse Relations
... human text understanding can thus be de- scribed as a process to recover the global structure of texts and the relations linking its different parts (Vallduv´ı 1992; Gernsbacher et ... See full document
5
RankPref: Ranking Sentences Describing Relations between Biomedical Entities with an Application
... two sentences containing both the gene and the ...the sentences was chosen randomly before displaying them to the ...choose sentences that clearly state the rela- tionship between the gene and ... See full document
9
Žižek with Lacan: Editorial
... The articles in this special edition draw out, discuss and explore many of these points of difference and indicate different perspectives on, reasons to and difficulties entailed in reading Žižek with Lacan. Levi R. ... See full document
5
CITE: A Corpus of Image Text Discourse Relations
... the text that is most related to the ...highlighted text, whereas adverbs and quantitative information that cannot be easily depicted in images are part of the re- maining segments of the ... See full document
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