[PDF] Top 20 Lexical Chains as Document Features
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Lexical Chains as Document Features
... using lexical chains and use these lexical chains to derive fea- ture ...These lexical chain based feature vec- tors are used to cluster the documents using two dif- ferent algorithms - ... See full document
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Lexical Chain Based Cohesion Models for Document Level Statistical Machine Translation
... General Document-Level Machine Translation Tiedemann (2010) propose cache-based language and translation models for document-level machine ...the document being trans- ...in document-level ... See full document
11
Towards Lexical Chains for Knowledge-Graph-based Word Embeddings
... longer lexical chain paths are necessary. In our view the main reason for the current results is the fact that the pseudo corpus WNLexCH re- flects all the relations in the local context of the synsets in the KG. ... See full document
7
Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs
... In this article, we describe our approach for the Bacteria Biotopes relation extraction (BB- rel) subtask in the BioNLP Shared Task 2019. This task aims to promote the development of text mining systems that extract ... See full document
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Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization
... for lexical chain computation. The algorithm makes lexical chains a computationally feasible candidate as an intermediate representation for automatic text ...evaluating lexical chains ... See full document
11
Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
... 7,200 lexical am- biguities for German → English, and 6,700 for German→French, and report baseline ...of lexical ambiguities correctly disambiguated, we find that word sense disambiguation remains a ... See full document
9
Beyond Identity Coreference: Contrasting Indicators of Textual Coherence in English and German
... chain features described in Section 3 indicate how coherence is created and how and to which de- gree topics are distributed throughout the ...coreference chains in combination with a small distance between ... See full document
9
Authorial Studies using Ranked Lexical Features
... will be given by min (A, B) . This way we can label all the remaining clusters recursively. We were looking for a sequence of i where the clustering becomes stable and the adjusted Rand index remains close to 1. Meaning ... See full document
6
Cross Document Narrative Alignment of Environmental News: A Position Paper on the Challenge of Using Event Chains to Proxy Narrative Features
... The granular form these cross-document connections take, as identified by computational linguistics, are linguistic phenomena such as exophora, entity mentions when an entity is known in advance to be notable, ... See full document
7
Spoken and Written News Story Segmentation Using Lexical Chains
... It is evident from the results of our segmentation ex- periments on the CNN and Reuters test collections that system performance is dependant on the type of news source being segmented i.e. spoken texts are more diffi- ... See full document
6
Lexical Chains meet Word Embeddings in Document level Statistical Machine Translation
... detect lexical chains, the correctness decreases between 10% and ...than lexical resources as they capture contextual information from the text, without relying on whether is de- fined in a ...the ... See full document
11
Computing Lexical Chains with Graph Clustering
... cohesive lexical chains ...lexical chains. For example, Figure 1a describes “physiographic features” and 1c refers to “seafood,” while it is difficult to summarize the weak chain 1b ... See full document
6
Exploring and Expanding the Use of Lexical Chains in Information Retrieval
... fixed lexical chain is represented by a ...overall document representation is the union over all documents of the synsets representing all the fixed lexical chains in that ...our ... See full document
6
Semantic Based Document Clustering Using Lexical Chains
... as features for representing the documents and they are treated ...conceptual features extracted from text using ontologies and have shown that ontologies could improve the performance of text ... See full document
7
On the Distribution of Lexical Features at Multiple Levels of Analysis
... most features are decidedly sparse and non-normal at the message-level (as with traditional NLP), they follow the central limit theorem to become much more Log-normal or even Normal at the user- and ...cal ... See full document
6
Domain Adaptation to Summarize Human Conversations
... Many domain adaptation methods have been proposed for the supervised case, where a small amount of labeled data in the target domain is used along with a larger amount of labeled source data. Two baseline approaches are ... See full document
7
Floating Constraints in Lexical Choice
... We apply FUF to lexical choice b y representing the lexicon as a FUG whose branches specify both constraints on lexical choice as tests and the lexical features selected as a result of t[r] ... See full document
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Lexical Features in Coreference Resolution: To be Used With Caution
... In this paper, we show that if we mainly rely on lexical features, as it is the case in state-of-the- art coreference resolvers, overfitting become more sever. Overfitting to the training dataset is a prob- ... See full document
6
Reducing Lexical Features in Parsing by Word Embeddings
... A lot of recent work has been done on training word vectors (Mnih and Hinton, 2009; Mikolov et al., 2013; Lebret and Collobert, 2014; Pennington et al., 2014), and utilizing word vectors in various NLP tasks (Turian et ... See full document
8
A Computational Treatment of Lexical Rules in HPSG as Covariation in Lexical Entries
... A s discussed in Section 2.2.3, features specified in a lexical entry unifying with the in-specification of the lexical rule that are not specified differently in the out-specification o[r] ... See full document
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