Chinese entity relation extraction is a part of entity relation extraction. According to entity relation extraction technology and the features of Chinese news corpus, this paper proposes a novel method for Chinese entities relation extraction. The method, named WCORE (word co-occurrence relation extraction), first measures the semantic similarity by word co-occurrence and then adopts pattern m...

Relation Extraction refers to the task of populating a database with tuples of the form r(e1, e2), where r is a relation and e1, e2 are entities. Distant supervision is one such technique which tries to automatically generate training examples based on an existing KB such as Freebase. This paper is a survey of some of the techniques in distant supervision which primarily rely on Probabilistic G...

Argumentation in a scientific article is composed of unexpressed and explicit statements of old and new knowledge combined into a logically coherent textual argument. Discourse relations, linguistic coherence relations that connect discourse segments, help to communicate an argument’s logical steps. A biomedical relation exhibits a relationship between biomedical entities. In this paper, we are...

We provide a systematic study of previously proposed features for implicit discourse relation identification, identifying new feature combinations that optimize F1-score. The resulting classifiers achieve the best F1-scores to date for the four top-level discourse relation classes of the Penn Discourse Tree Bank: COMPARISON, CONTINGENCY, EXPANSION, and TEMPORAL. We further identify factors for ...

Information Extraction (IE) is a fundamental technology for NLP. Previous methods for IE were relying on co-occurrence relations, soft patterns and properties of the target (for example, syntactic role), which result in problems of handling paraphrasing and alignment of instances. Our system ARE (Anchor and Relation) is based on the dependency relation model and tackles these problems by unifyi...

In this paper, we describe the state of our work on the possible derivation of ontological structures from textual analysis. We propose an approach to semi-automatic generation of domain ontologies from scratch, on the basis of heuristic rules applied to the result of a multi-layered processing of textual documents.

本研究では，文書中の用語間の関係を抽出する文書単位関係抽出において，既存の抽出手法に対して関係間の相互作用を考慮するために，用語を節点，抽出済みの関係候補を辺とする関係グラフを構築し，その関係グラフの辺を編集する逐次的な辺編集モデルを提案する．近年，文書単位関係抽出の研究では，深層学習モデルが利用されている．しかしながら，複数のモデルを組み合わせる方法は明確ではなく，研究ごとに実装方法も異なるため，付加的に新たな観点を導入するのは難しい．そこで，異なる観点として関係間の相互作用を考慮できるように，既存手法で抽出済みの関係候補を編集するタスクを提案する．材料合成手順コーパスにおいて，関係がついていない状態から編集するとF値79.4%の性能の逐次的な辺編集モデルで，ルールベース抽出器の出力を編集すると，性能は80.5%から86.6%に向上した．一方で，時間関係抽出の標準的なベンチマークで...

abstract dry socket is undoubtedly on tne most distressing post operative sequel of teeth extraction. it occurs in spite of the most careful aseptic procedures and regardless of the ability and skills of the surgeon. the purpose of this study was to determin the relative frequency of dry socket after mandibular wisdom teeth extraction and defining the risk factors corresponding to this complica...