the research argues that the ending divine attributes of the quranic verses are related semantically to the verses’ theme. according to the content of the quranic verses, supported by some commentators, the ending divine attributes of the verses have such a deep semantic relationship with the verse content that if we abandon the ending attributes, some disorder is made in the verse theme. this ...

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...

Conclusion Performance on human judgement (MC, RG, WS) and semantic relation (BLESS and SN) datasets We present a novel semantic similarity measure based on lexico-syntactic patterns such as those proposed by Hearst (1992). The measure achieves a correlation with human judgements up to 0.739. Additionally, we evaluate it on the tasks of semantic relation ranking and extraction. Our results show...

This paper introduces the problem of predicting semantic relations expressed by prepositions and develops statistical learning models for predicting the relations, their arguments and the semantic types of the arguments. We define an inventory of 32 relations, building on the word sense disambiguation task for prepositions and collapsing related senses across prepositions. Given a preposition i...

The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, semantic relation classification concentrates on relations which are evaluated over open-domain data. This work provides a critique on the set of abstract relations used for seman...

relations, such as, Agent, Location, Instrument, suggested in Barker and Szpakowicz (1998), Finin (1980), Girju et al. (2005), Kim and Baldwin (2005, 2008), Moldovan et al. (2004), Rosario and Hearst (2001). Generalized prepositions, such as, Of, For, In, proposed by Lauer (1995). Recoverably deletable predicates (RDPs) to interpret semantic relations in the NCs (Levi, 1978). Semantic relations...

To reduce the increasing amount of time spent on literature search in the life sciences, several methods for automated knowledge extraction have been developed. Co-occurrence based approaches can deal with large text corpora like MEDLINE in an acceptable time but are not able to extract any specific type of semantic relation. Semantic relation extraction methods based on syntax trees, on the ot...

This paper presents a generative model for the automatic discovery of relations between entities in electronic medical records. The model discovers relation instances and their types by determining which context tokens express the relation. Additionally, the valid semantic classes for each type of relation are determined. We show that the model produces clusters of relation trigger words which ...

We deal with a wide range of colors in our daily life. They are such ubiquitous phenomena that is hard and next to impossible to imagine even a single entity (be it an object, place, living creature, etc) devoid of them. They are like death and tax which nobody can dispense with. This omnipresence of colors around us has also made its way through abstract and less tangible entities via the inte...

Extracting semantic relationships between entities is challenging. This paper investigates the incorporation of diverse lexical, syntactic and semantic knowledge in feature-based relation extraction using SVM. Our study illustrates that the base phrase chunking information is very effective for relation extraction and contributes to most of the performance improvement from syntactic aspect whil...