Рассматривается технология создания паттернов из слов (понятий) естественного языка по текстовым данным в модели «мешок слов». Паттерны применяются для снижения размерности исходного пространства описании документов и поиска семантически связанных темам. Процесс реализуется через формирование паттернам латентных признаков. Исследуется многообразие структур отношений разбиения их на темы латентн...

Existing semantic segmentation methods mostly rely on per-pixel supervision, unable to capture structural regularity present in natural images. Instead of learning to enforce semantic labels on individual pixels, we propose to enforce affinity field patterns in individual pixel neighbourhoods, i.e., the semantic label patterns of whether neighbouring pixels are in the same segment should match ...

This paper describes the construction and use of language models specific to semantic concepts. A tolerance mechanism is introduced in order to design conceptual constituents that cover longer word patterns while remaining robust to spontaneous speech disfluencies and recognition errors. These models are obtained from sentence patterns which grow from essential information to longer sequences o...

Complex relationships, frequently referred to as semantic associations, are the essence of the Semantic Web. Query and retrieval of semantic associations has been an important task in many analytical and scientific activities, such as detecting money laundering and querying for metabolic pathways in biochemistry. We believe that support for semantic path queries should be an integral component ...

In this paper we present a prototype of a system aimed at event extraction using linguistic patterns with semantic classes. The process is aided with an auxiliary tool for mapping verb statistics across messages. The sentence analyzer uses linguistic associations, based on VerbNet across the message and between messages' sentences to select semantic role fillers. We restrict ourselves to the co...

Morphological aspects of human language processing have been suggested by some to be reducible to the combination of orthographic and semantic effects, while others propose that morphological structure is represented separately from semantics and orthography and involves distinct neuro-cognitive processing mechanisms. Here we used event-related brain potentials (ERPs) to investigate semantic, m...

Responding to the need for semantic lexical resources in natural language processing applications, we examine methods to acquire noun compounds (NCs), e.g., orange juice, together with suitable fine-grained semantic interpretations, e.g., squeezed from, which are directly usable as paraphrases. We employ bootstrapping and web statistics, and utilize the relationship between NCs and paraphrasing...

In this paper, we discuss a novel technique based on semantic constraints to improve the performance and portability of a reformulation-based question answering system. First, we present a method for acquiring semantic-based reformulations automatically. The goal is to generate patterns from sentences retrieved from the Web based on lexical, syntactic and semantic constraints. Once these constr...