GraphBasedAlgorithm

We present a novel graph-based algo- rithm for the automated disambiguation of glosses in lexical knowledge resources. A dictionary graph is built starting from senses (vertices) and explicit or implicit …...

For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emo- tion lexicons for public use, we adopted a graph-based algorithm …...

AbstractThis paper presents a novel automatic approach to partially integrate FrameNet and WordNet. In that way we expect to extend FrameNet coverage, to enrich WordNet with frame semantic information and …...

This paper proposes a novel approach to extract opinion targets based on word- based translation model (WTM). At first, we apply WTM in a monolingual scenario to mine the associations …...

We introduce a novel algorithm for generat- ing referring expressions, informed by human and computer vision and designed to refer to visible objects. Our method separates abso- lute properties like …...

Topics generated automatically, e.g. using LDA, are now widely used in Computational Linguistics. Topics are normally represented as a set of keywords, often the n terms in a topic with …...

AbstractA graph-based algorithm is used to analyze the co-occurrences of words in the British National Corpus. It is shown that the statistical regularities detected can be exploited to predict human …...

We present a weakly-supervised induc- tion method to assign semantic informa- tion to food items. We consider two tasks of categorizations being food-type classi- fication and the distinction of whether …...

This paper describes an approach to im- plementing a tool for evaluating seman- tic similarity. We investigated the poten- tial benefits of (1) using text summarisa- tion to narrow down …...