in a speech community, people utilize their communicative competence which they have acquired from their society as part of their distinctive sociolinguistic identity. they negotiate and share meanings, because they have commonsense knowledge about the world, and have universal practical reasoning. their commonsense knowledge is embodied in their language. thus, not only does social life depend...

For successful language use, interlocutors must be able to accurately assess their shared knowledge ("common ground"). Such knowledge can be accumulated through linguistic and non-linguistic context, but the same context can be associated with different patterns of knowledge, depending on the interlocutor's participant role (Wilkes-Gibbs and Clark, 1992). Although there is substantial evidence ...

Linguistic knowledge plays an important role on phrase movement in statistical machine translation. To efficiently incorporate linguistic knowledge into phrase reordering, we propose a new approach: Linguistically Annotated Reordering (LAR). In LAR, we build hard hierarchical skeletons and inject soft linguistic knowledge from source parse trees to nodes of hard skeletons during translation. Th...

Pattern mining derives from the need of discovering hidden knowledge in very large amounts of data, regardless of the form in which it is presented. When it comes to Natural Language Processing (NLP), it arose along the humans’ necessity of being understood by computers. In this paper we present an exploratory approach that aims at bringing together the best of both worlds. Our goal is to disco...

Word vectors with varying dimensionalities and produced by different algorithms have been extensively used in NLP. The corpora that the algorithms are trained on can contain either natural language text (e.g. Wikipedia or newswire articles) or artificially-generated pseudo corpora due to natural data sparseness. We exploit Lexical Chain based templates over Knowledge Graph for generating pseudo...

The framework we adopted for customizing linguistic knowledge to individual application domains is an integration of symbolic and statistical approaches. In order to acquire domain specific knowledge, we have previously proposed a rule-based mechanism to hypothesize missing knowledge from partial parsing results of unsuccessfully parsed sentences. In this paper, we focus on the statistical proc...

In a speech community, people utilize their communicative competence which they have acquired from their society as part of their distinctive sociolinguistic identity. They negotiate and share meanings, because they have commonsense knowledge about the world, and have universal practical reasoning. Their commonsense knowledge is embodied in their language. Thus, not only does social life depend...

A tool is described which helps in the creation, extension and updating of lexical knowledge bases (LKBs). Two levels of representation are distinguished: a static storage level and a dynamic knowledge level. The latter is an object-oriented environment containing linguistic and lexicographic knowledge. At the knowledge level, constructors and filters can be defined. Constructors are objects wh...

Recent research and development have created the necessary ingredients for a major push in web-scale language understanding: large repositories of structured knowledge (DBpedia, the Google knowledge graph, Freebase, YAGO) progress in language processing (parsing, information extraction, computational semantics), linguistic knowledge resources (Treebanks, WordNet, BabelNet, UWN) and new powerful...